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Experience Level
Mid to Senior
Qualifications
The ideal candidate will possess:A strong background in data science, machine learning, or a related field. Experience with programming languages such as Python or R. Proficiency in statistical analysis and data modeling. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Strong communication skills to convey complex technical concepts to non-technical stakeholders.
About the job
ASOS Ltd. seeks an Applied Scientist for its Technology department in London. The focus is on applying advanced data analytics and machine learning to enhance customer experience and streamline internal operations.
Key responsibilities
Design and build algorithms, predictive models, and analytical tools in partnership with teams across the business.
Use data-driven methods to support technology initiatives and advance strategic objectives at ASOS.
Contribute to new solutions that have a measurable effect on customer service and operational efficiency.
Collaboration
This position works closely with colleagues from different disciplines to ensure technical solutions support the company's wider goals.
About ASOS Ltd.
ASOS is a leading online fashion retailer, dedicated to providing an exceptional shopping experience for our global customers. With a vibrant and diverse culture, we empower our employees to innovate and thrive within a dynamic environment. Join us to be part of a forward-thinking company at the forefront of the fashion industry!
Role overview ASOS Ltd. seeks an Applied Scientist for its Technology department in London. The focus is on applying advanced data analytics and machine learning to enhance customer experience and streamline internal operations. Key responsibilities Design and build algorithms, predictive models, and analytical tools in partnership with teams across the business. Use data-driven methods to support technology initiatives and advance strategic objectives at ASOS. Contribute to new solutions that have a measurable effect on customer service and operational efficiency. Collaboration This position works closely with colleagues from different disciplines to ensure technical solutions support the company's wider goals.
Role overview The Trade Desk seeks a Staff Applied Scientist for its London office. The position centers on building advanced algorithms and machine learning models that enhance the digital advertising platform. Collaboration with both scientists and engineers is a key part of the role, all with the aim of improving how brands connect with their audiences. What you will do Develop and improve algorithms that support programmatic advertising solutions Apply machine learning methods to analyze and interpret large-scale data sets Work alongside a multidisciplinary team to advance the platform Offer scientific insight to projects that influence the direction of digital advertising Requirements Background in data science, applied science, or machine learning Strong skills in algorithm development Interest in the technical aspects of digital advertising Comfort working with diverse technical teams Location This role is based in London.
About Sylvera Sylvera empowers organizations to make informed investments in carbon and commodity markets. Our independent assessments of carbon project quality, market pricing, and supply signals, alongside our geospatial and carbon intensity data, provide clients with the vital insights needed for impactful climate action.Our diverse team of over 130 scientists, engineers, and market analysts operates across major cities including London, New York, São Paulo, Singapore, and Tokyo. We specialize in market intelligence, geospatial analytics, multi-scale lidar research, and policy analysis, partnering with governments to enhance transparency and rigor in carbon markets.With backing from over $96 million in investment from prominent firms like Fidelity, Balderton Capital, Index Ventures, and Insight Partners, we are trusted by Fortune 500 companies and major financial institutions globally.If you are passionate about climate science, enjoy tackling complex challenges, and wish to work with a dedicated team committed to our mission, we invite you to explore this opportunity.Role Overview We are seeking a dedicated Applied Scientist – Forest Lidar & 3D ML to join our Earth Analytics (EA) team.Your primary focus will be to address a significant research challenge in a high-impact commercial context: the automation of tree segmentation from intricate terrestrial laser scanning (TLS) point clouds. Your work will be pivotal in enhancing Sylvera’s innovative Biomass Atlas product, which is increasingly utilized for carbon accounting within carbon markets. You will gain exclusive access to a premier ground-truth, labeled dataset of 3D forest point clouds sourced from global forests.Key Responsibilities:Designing, training, and implementing advanced 3D deep learning models (e.g., sparse convolutions, PointNet, TreeLearn, or similar architectures) for automating tree instance segmentation and Quantitative Structure Model (QSM) generation.Converting experimental machine learning research into reliable, reproducible code, collaborating closely with our production engineering team to deploy models at scale.
Isomorphic Labs is at the forefront of artificial intelligence, striving to unveil profound scientific insights, accelerate breakthroughs, and develop transformative medicines with the aim of eradicating all diseases.The future is unfolding—a future enriched by the remarkable capabilities of machine learning, where diseases are managed or cured through enhanced and expedited drug discovery.Join our interdisciplinary team, where your contributions will play a pivotal role in driving innovation and achieving our ambitious objectives, all within a collaborative and inspiring culture.The world we aspire to create begins today, with the culture we foster at Isomorphic Labs, and it starts with you.Research Scientist - Applied Large Language ModelsYour ImpactAs a Research Scientist specializing in Large Language Models (LLMs), you will be instrumental in leveraging cutting-edge technology across our research domains to revolutionize the drug discovery landscape.Working in a dynamic and creative environment, you will collaborate with leading researchers and engineers to envision, design, and develop state-of-the-art LLM applications that unlock new modeling capabilities and enhance predictive power—critical elements for the organization’s success.
About NevisNevis is pioneering the first-ever AI-driven wealth management platform, recently surpassing $50 billion in assets under management and projected to exceed $100 billion by year-end.Backed by prominent investors, Nevis has successfully secured $40 million in funding from Sequoia Capital, ICONIQ, and Ribbit, positioning itself as one of Europe’s most well-funded and rapidly expanding Series A startups.The RoleWe are on the lookout for an innovative and passionate Applied AI Engineer to join our dynamic team at Nevis. In this critical role, you will influence the development of our cutting-edge AI wealthtech product by creating LLM-driven automation solutions to tackle essential challenges faced by our corporate clients.You will engage with state-of-the-art LLM models, partnering with industry-leading vendors to enhance our product’s reasoning capabilities and achieve superior quality in our models’ outputs.Working alongside a distinguished team of engineers and product creators, including the ex-Head of AI at Revolut, you will have a unique opportunity to make a significant impact in one of the world’s largest industries.What You’ll DoDesign and develop LLM and ML-powered features for the Nevis platform.Collaborate with engineers and product teams to transition new AI capabilities from concept to production.Establish best practices for AI development, testing, observability, and reliability.Continuously assess and enhance AI product performance and reasoning accuracy.Work in tandem with product and design teams to prototype and refine new AI features.Stay abreast of advancements in Generative AI, including agentic systems and context engineering.Who You AreHands-on experience with LLMs.Demonstrated ability to solve real-world challenges using AI/ML.Strong statistical and data analysis skills.A STEM degree from a leading university.A passion for transformative AI technologies.A product-oriented mindset focused on practical solutions.
Join our team at physicsx as a Senior AI Engineer - Applied and be at the forefront of artificial intelligence innovation. This role involves leveraging cutting-edge technologies to develop AI solutions that address real-world challenges. You will collaborate with a talented team of engineers and researchers, contributing to projects that push the boundaries of AI applications.
Join 9fin as an Applied AI Manager!At 9fin, we are revolutionizing the global debt markets — the largest asset class exceeding $145 trillion. Our innovative AI platform transforms fragmented data, PDFs, and manual workflows into a cohesive system that centralizes proprietary credit data, in-depth analysis, and high-impact workflows across the globe.Trusted by over 300 leading institutions, including major banks, asset managers, private equity firms, law firms, and advisory services, we are experiencing rapid growth, particularly in the US market, driven by our exceptional retention rates and deep integration into client workflows.As we reach a pivotal moment in our journey with a proven product-market fit and significant global demand, we invite you to be a part of our mission to become the go-to platform for debt market solutions worldwide.The Role:We are excited to expand our Data Science team! As an Applied AI Manager, you will harness cutting-edge technologies to develop data-driven products utilizing machine learning, computer vision, natural language processing, and more. You will lead the charge in applying AI across teams and products, creating large-scale AI systems while collaborating with top-tier researchers and engineers.Your daily responsibilities will include:Overseeing the design and implementation of sophisticated ML and GenAI systems, ensuring they are robust, scalable, and aligned with our business objectives.Leading the team through the end-to-end model development process, focusing on reproducibility and reliability from experimentation through deployment and monitoring.Making architectural decisions for data-intensive, AI-driven applications while balancing cutting-edge techniques with practical production readiness.Mentoring engineers of all levels, sharing best practices in software engineering, ML/AI, and cloud infrastructure.Collaborating cross-functionally with stakeholders to shape project roadmaps and deliver ambitious projects while maintaining a balance between technical innovation and execution.Promoting engineering excellence through best practices in coding standards, CI/CD processes, observability, and incident management, fostering a culture of technical rigor and continuous improvement.
About UsAt Percepta, we are dedicated to revolutionizing essential industries through applied AI. Our goal is to harness cutting-edge technology to enhance sectors that drive the global economy, such as healthcare, manufacturing, and energy.To achieve this, we collaborate closely with top-tier clients, facilitating their AI transformation journeys. Our unique strengths include:Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit designed for the swift deployment of intelligent workflows.Strategic alliances with industry leaders like Anthropic, McKinsey, AWS, and more.Our rapidly expanding team comprises Applied AI Engineers, Embedded Product Managers, and Researchers, all driven by the mission to integrate AI into tangible improvements in everyday life.Percepta operates as a direct partnership with General Catalyst, a global transformation and investment firm.Role OverviewWe are seeking Applied AI Engineers to engage with customer executives, operators, and technical teams to devise and implement impactful AI systems. As we expand our footprint in Europe, your role will be pivotal in shaping our strategic direction and success in the region. Unlike many roles that focus on prototypes or laboratory projects, you will be responsible for designing, building, and deploying production-grade AI agents and workflows that generate substantial business value for our clients.Key ResponsibilitiesDefine AI Vision: Partner with client stakeholders to outline their long-term AI strategy and transformation roadmap.Identify Opportunities: Work backward from the long-term vision to highlight and prioritize specific AI applications that translate our ambitions into measurable business outcomes.Deliver Real Products: Quickly develop and deploy AI solutions that operate effectively in real-world scenarios with actual users and data.Enhance Our Core Product: Integrate insights from customer engagements into our Mosaic product, consistently introducing new features, patterns, and frameworks.
About UsXapien is revolutionizing the way businesses understand their connections, whether it’s with suppliers, investors, partners, or third parties. We harness the power of advanced AI to provide organizations with unmatched speed, scale, and accuracy in their due diligence processes.Since our inception in 2018, we've transformed from a deep-tech startup into a global leader in AI-driven risk intelligence and due diligence solutions. In 2024, we celebrated a milestone achievement by securing $10M in Series A funding, receiving accolades in the Chartis RiskTech100® and Everest Group’s Leading 50™, and broadening our product offerings, markets, and customer base.2025 has brought even greater opportunities: With increasing compliance demands, emerging regulations, and heightened reputation risks, organizations worldwide are seeking innovative and efficient solutions, placing their trust in Xapien. From renowned law firms and financial institutions to educational and non-profit organizations, our clients rely on us to transform cumbersome manual research into actionable insights delivered within moments.Our growth trajectory:As we expand our reach beyond the UK, we are witnessing a surge in demand across continents, particularly in the Middle East, Asia, and Oceania, with significant growth in sectors such as wealth management, financial services, and supply chain onboarding.Why Join Us Now?This role presents a unique chance to influence the future of the due diligence industry with our leading-edge product, trusted by organizations globally. Regardless of your background—whether in marketing, sales, finance, or communications—you’ll be pivotal in driving growth, establishing credibility, and connecting our product to a dynamic market landscape.We are rapidly scaling, facing new regulatory challenges, and responding to heightened customer expectations. At Xapien, due diligence now embodies real-time insights delivered efficiently and effectively. You will not just execute tasks; you will influence strategies, optimize procedures, and contribute to a brand that is redefining standards for trust and transparency.If you are passionate about learning, innovating, and making a meaningful impact, now is the perfect time to join Xapien.The RoleWe are on the lookout for a detail-oriented Applied Research Engineer to assist in the development of the next generation of algorithms at the core of our systems. With our product experiencing rapid growth, your contributions will be crucial in shaping our solutions.
Role Overview bluefishai is looking for a Senior Applied AI Engineer to help shape how AI is implemented and integrated across the company. This position focuses on driving projects that improve developer productivity, streamline workflows, and introduce new product capabilities. The work is highly cross-functional and centers on delivering measurable business results. Key Responsibilities Lead initiatives that bring structure and clarity to AI adoption, setting standards for teams as they experiment with new approaches. Work closely with engineering, product, and leadership to identify impactful AI use cases and integrate them into the software development lifecycle. Advise on the application of emerging technologies, including agentic capabilities, to both products and internal processes. Mentor engineers, define best practices, and guide teams in adopting AI solutions that scale across the organization. Encourage collaboration and help align teams around practical, measurable solutions that boost productivity. Collaboration and Reporting This role reports directly to the VP of Engineering. Regular collaboration with engineering, product, and leadership teams is expected to ensure AI initiatives are impactful and aligned with business goals. Work Environment bluefishai is in the early stages of its AI journey, with a strong sense of curiosity and momentum. Teams are experimenting with different methodologies, and this role will be central in establishing effective, scalable AI practices across the company. Location This position is based in London or can be performed remotely within the UK.
About AnthropicAt Anthropic, we are committed to developing safe, interpretable, and steerable artificial intelligence systems. Our mission is to ensure that AI technology is both reliable and beneficial for users and society at large. Our rapidly expanding team comprises dedicated researchers, engineers, policy experts, and business leaders collaborating to create impactful AI solutions.About the Role: As an Applied AI Engineer in our Startups team, you will serve as a vital technical advisor to leading AI-native startups, guiding them in leveraging the Claude Developer Platform as they transition from early-stage products to scalable solutions. You'll engage in deep technical collaborations, working directly with startup engineering teams to assist them in product development, agent design, and pioneering advancements in AI.In close partnership with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you’ll navigate startups through intricate technical engagements. Utilizing your expertise in AI engineering, you will create custom evaluation frameworks, design scalable architectures, and produce the technical resources necessary for startups to thrive with Claude.
Role overview The Senior Applied AI Engineer at Taktile will play a central part in building and refining AI-driven solutions for the company's product suite. This position requires direct involvement with AI models and regular collaboration with colleagues across different teams. The work will help guide both the technical and product direction at Taktile. What you will do Design, develop, and implement applied AI models to enhance Taktile’s products. Collaborate with engineering, product, and other teams to take AI features from initial idea to production deployment. Participate in shaping product and AI strategies through active contribution to team discussions and decision-making. Location This is an in-office role based at Taktile’s London location.
About Our TeamThe Applied Foundations team at OpenAI is committed to ensuring that our state-of-the-art technology remains both innovative and resilient against various adversarial challenges. Our mission is to uphold the integrity of our platforms as they evolve and expand. As a vital part of this team, you will be at the forefront of safeguarding against financial exploitation, large-scale attacks, and other forms of misuse that could jeopardize the user experience and operational stability.The Integrity division within Applied Foundations is tasked with developing scalable systems that identify and respond to harmful activities on OpenAI's platforms. We are establishing a pioneering team in London to design next-generation systems that will enhance and scale the capabilities of experts addressing harms associated with our technology.Key ResponsibilitiesDesign and implement scalable foundational systems for the detection, tracking, and enforcement of harmful activities using our technologies.Collaborate closely with both technical and non-technical specialists to gain insights into the harms we observe stemming from our platforms, guiding your design and implementation processes.Utilize OpenAI’s cutting-edge technologies to automate and enhance our ability to swiftly and accurately detect and analyze complex harms with minimal human intervention.Work alongside policy, trust and safety operations, legal teams, and engineers specializing in harm mitigation to comprehensively address abusive behaviors leveraging OpenAI’s technology.Stay updated on the latest techniques and tools to remain ahead of resourceful adversaries.Ideal Candidate ProfileMinimum of 5 years of software engineering experience focusing on backend and data systems.At least 2 years of experience in trust and safety analysis, investigations, and/or operational roles.Passionate about learning from leading experts on AI-related harms and eager to collaborate within an interdisciplinary team comprising both technical and non-technical roles.Ability to navigate our codebase intuitively, providing insights that strengthen our engineering capabilities.A relentless desire to learn and acquire new skills, coupled with the ability to effectively communicate this knowledge to others.
Application Deadline: We are actively interviewing candidates and seek to fill this position promptly with a suitable applicant. THE OPPORTUNITYBecome a vital member of our groundbreaking AGI safety product team and play a key role in transforming intricate AI research into actionable tools aimed at minimizing AI-related risks. In your role as an applied researcher, you will collaborate closely with our CEO (who also acts as Head of Product), product engineers, and the Evals team’s software engineers to develop solutions that enhance AI agent safety for our clients. Currently, we are concentrating on the oversight of AI coding agents to identify failures in safety and security. You will be part of a compact team, which allows you to significantly influence both team dynamics and technological approaches while quickly assuming greater responsibilities. This position is perfect for you if you have a fervent desire to employ empirical research methodologies to enhance the safety of AI systems in practical applications. If you relish the challenge of converting theoretical AI risks into tangible detection mechanisms, thrive in fast-paced environments, and are eager to see your research make a meaningful impact on real-world AI safety, then we would love to hear from you.KEY RESPONSIBILITIESResearch & Development- Collect and catalog coding agent failure modes systematically from real-world instances, public examples, research literature, and theoretical predictions.- Design and execute experiments to evaluate monitor effectiveness across various failure modes and agent behaviors.- Develop and maintain evaluation frameworks to track advancements in monitoring capabilities.- Refine monitoring strategies based on empirical findings, optimizing detection accuracy alongside computational efficiency.- Stay updated with the latest research in AI safety, agent failures, and detection methodologies.- Keep abreast of advancements in coding security and safety vulnerabilities.Monitor Design & Optimization- Create a comprehensive library of monitoring prompts tailored to specific failure modes (e.g., security vulnerabilities, goal misalignment, deceptive behaviors).- Experiment with various reasoning strategies and output formats to enhance monitor reliability.- Design and evaluate hierarchical monitoring architectures and ensemble approaches.
Artificial Intelligence is increasingly essential across all sectors of society. At Scale AI, our mission is to expedite the evolution of AI applications. For the past eight years, we have been at the forefront of AI data innovation, driving some of the most groundbreaking advancements in AI, such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding, we are enhancing the application of frontier data and models by developing sophisticated agents for enterprises globally through our Scale Generative Platform (SGP).The SGP ML team is at the forefront of the AI revolution. We engage directly with clients to design state-of-the-art products utilizing the extensive proprietary research and resources cultivated at Scale. As an Applied AI Engineer, you will collaborate with clients to develop machine learning solutions tailored to their business challenges. Your responsibilities will span from constructing next-generation AI cybersecurity firewalls to transforming AI experiences in journalism and employing foundational genomic models for life-saving drug protein predictions. Daily data-driven experiments will yield critical insights regarding model capabilities and deficiencies, which you will leverage to enhance product performance. If you are passionate about shaping the future of the AI landscape, we are eager to hear from you!
Technical Staff Member - Applied AIExciting Opportunity Awaiting YouWe are seeking a talented Member of Technical Staff specializing in generative modeling to bridge the gap between our cutting-edge models and the clients who rely on them. You will be a part of a diverse team comprising machine learning experts, protein engineers, and biologists, all collaboratively working to revolutionize biological control and disease treatment. In this role, you will gain a thorough understanding of our proprietary generative models and leverage that expertise to adapt, deploy, and optimize these models in client environments, especially within the pharmaceutical and biotech industries.This is a hybrid position requiring a research-oriented mindset coupled with excellent communication skills to effectively translate complex concepts into practical production systems that yield scientific benefits for our partners.About Latent LabsAt Latent Labs, we are committed to developing pioneering models that grasp the fundamentals of biology. Our ambitious goals are driven by curiosity and an unwavering commitment to scientific excellence. Our team previously contributed to the award-winning AlphaFold project at DeepMind, invented latent diffusion, and established groundbreaking lab data management and high-throughput protein screening systems. At Latent Labs, you'll collaborate with some of the brightest minds in generative AI and biology.We foster an environment of interdisciplinary exchange, continuous learning, and collaboration. Our offsite team-building activities promote a culture of trust across our London and San Francisco offices.We are looking for innovative thinkers who are passionate about solving complex challenges and making a positive global impact. Join us on our ambitious mission!
Are you a passionate data scientist looking to make a significant impact in a dynamic environment? Join Marshmallow as a Staff Data Scientist and leverage your expertise to drive innovative data solutions. In this role, you will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our product offerings.
About AnthropicAt Anthropic, our mission centers around the creation of trustworthy, interpretable, and controllable AI systems. We aim to ensure that AI remains safe and advantageous, benefiting both our users and society at large. Our rapidly expanding team comprises dedicated researchers, engineers, policy specialists, and business leaders collaborating to construct beneficial AI systems.About the RoleAs the Manager of the Applied AI Architect team for Northern European Industries at Anthropic, you will spearhead the implementation of cutting-edge AI technologies by facilitating the deployment of Anthropic's products—Claude for Enterprise, Claude Code, and API—across large enterprises in various non-tech sectors within the UK, Ireland, and the Nordics. Your technical expertise and consultative sales background will empower you to drive impactful AI transformations that cater to our customers' business objectives, fulfill their technical specifications, and ensure high reliability and safety.Your responsibilities will include leading and expanding the Northern Europe Applied AI Architect team, establishing processes and best practices for pre-sales engagements in your segment based on your extensive market knowledge and experience. You will assist each team member in achieving success, enhancing productivity, and advancing their careers while representing Anthropic as a technical authority on significant partnerships.In collaboration with Sales, Product, and Engineering teams, you will guide large enterprise clients in integrating advanced AI systems into both internal business transformation projects and consumer-facing products. Additionally, you will develop technical go-to-market strategies for Anthropic's offerings and outline high-value industry solutions. Utilizing your exceptional communication skills, you will effectively explain and demonstrate intricate solutions to both technical and non-technical stakeholders. Your role will be pivotal in identifying avenues for innovation and differentiation in our AI systems while adhering to our exemplary safety standards and ensuring compliance with local regulations across Northern Europe.
About Aptura AIAptura AI specializes in developing domain-specific artificial intelligence systems tailored for regulated sectors, including finance. By integrating cutting-edge models with insights from industry experts, we aim to revolutionize the way AI operates in finance, healthcare, and legal contexts. Our leadership team boasts experience from esteemed firms such as Lazard and Partners Group, with operations spanning both London and San Francisco. We collaborate with AI research labs and specialized companies to enhance the reasoning capabilities of our models.The OpportunityThis fellowship is crafted for individuals eager to leverage advanced financial training within pioneering AI environments.Your work will be positioned at the nexus of:· Corporate finance and investment analysis· Financial modeling and valuation· Evaluation of AI systems and model behaviorYour ResponsibilitiesYou will collaborate closely with Aptura's founders, finance experts, and machine learning teams on initiatives that influence the performance of advanced AI systems in financial contexts. Typical tasks include:Building and validating financial models: Create Discounted Cash Flow (DCF) models, comparable company analyses, precedent transaction analyses, leveraged buyout (LBO) scenarios, and credit assessments, which will serve as benchmarks for evaluating AI systems.Assessing financial reasoning quality: Analyze outputs generated by models to identify logical errors, incorrect assumptions, flawed methodologies, or misinterpretations of the market that a seasoned analyst would detect.Developing decision frameworks: Convert the thought processes of finance professionals regarding trade-offs, uncertainties, and scenario analyses into structured frameworks for testing model efficacy.Creating robust evaluation tasks: Assist in defining financial problems that distinguish high-quality model reasoning from subpar reasoning across areas such as mergers & acquisitions (M&A), debt structuring, earnings analysis, and capital allocation.Conducting human-model comparisons: Compare AI-driven analyses with human expert approaches to pinpoint gaps in model context, incorrect assumptions, or unsupported conclusions.Collaborating with research and ML teams: Work cross-departmentally to enhance prompts, refine task designs, and improve the reliability of finance-specific model behaviors.
Join a pioneering journey in AI innovation!We are seeking a Founding Applied AI Engineer to be part of our client’s dynamic team in London. As an early hire in a rapidly growing startup moving from Seed to Series B funding, you will play a crucial role in shaping the future of intelligent systems.
Role overview ASOS Ltd. seeks an Applied Scientist for its Technology department in London. The focus is on applying advanced data analytics and machine learning to enhance customer experience and streamline internal operations. Key responsibilities Design and build algorithms, predictive models, and analytical tools in partnership with teams across the business. Use data-driven methods to support technology initiatives and advance strategic objectives at ASOS. Contribute to new solutions that have a measurable effect on customer service and operational efficiency. Collaboration This position works closely with colleagues from different disciplines to ensure technical solutions support the company's wider goals.
Role overview The Trade Desk seeks a Staff Applied Scientist for its London office. The position centers on building advanced algorithms and machine learning models that enhance the digital advertising platform. Collaboration with both scientists and engineers is a key part of the role, all with the aim of improving how brands connect with their audiences. What you will do Develop and improve algorithms that support programmatic advertising solutions Apply machine learning methods to analyze and interpret large-scale data sets Work alongside a multidisciplinary team to advance the platform Offer scientific insight to projects that influence the direction of digital advertising Requirements Background in data science, applied science, or machine learning Strong skills in algorithm development Interest in the technical aspects of digital advertising Comfort working with diverse technical teams Location This role is based in London.
About Sylvera Sylvera empowers organizations to make informed investments in carbon and commodity markets. Our independent assessments of carbon project quality, market pricing, and supply signals, alongside our geospatial and carbon intensity data, provide clients with the vital insights needed for impactful climate action.Our diverse team of over 130 scientists, engineers, and market analysts operates across major cities including London, New York, São Paulo, Singapore, and Tokyo. We specialize in market intelligence, geospatial analytics, multi-scale lidar research, and policy analysis, partnering with governments to enhance transparency and rigor in carbon markets.With backing from over $96 million in investment from prominent firms like Fidelity, Balderton Capital, Index Ventures, and Insight Partners, we are trusted by Fortune 500 companies and major financial institutions globally.If you are passionate about climate science, enjoy tackling complex challenges, and wish to work with a dedicated team committed to our mission, we invite you to explore this opportunity.Role Overview We are seeking a dedicated Applied Scientist – Forest Lidar & 3D ML to join our Earth Analytics (EA) team.Your primary focus will be to address a significant research challenge in a high-impact commercial context: the automation of tree segmentation from intricate terrestrial laser scanning (TLS) point clouds. Your work will be pivotal in enhancing Sylvera’s innovative Biomass Atlas product, which is increasingly utilized for carbon accounting within carbon markets. You will gain exclusive access to a premier ground-truth, labeled dataset of 3D forest point clouds sourced from global forests.Key Responsibilities:Designing, training, and implementing advanced 3D deep learning models (e.g., sparse convolutions, PointNet, TreeLearn, or similar architectures) for automating tree instance segmentation and Quantitative Structure Model (QSM) generation.Converting experimental machine learning research into reliable, reproducible code, collaborating closely with our production engineering team to deploy models at scale.
Isomorphic Labs is at the forefront of artificial intelligence, striving to unveil profound scientific insights, accelerate breakthroughs, and develop transformative medicines with the aim of eradicating all diseases.The future is unfolding—a future enriched by the remarkable capabilities of machine learning, where diseases are managed or cured through enhanced and expedited drug discovery.Join our interdisciplinary team, where your contributions will play a pivotal role in driving innovation and achieving our ambitious objectives, all within a collaborative and inspiring culture.The world we aspire to create begins today, with the culture we foster at Isomorphic Labs, and it starts with you.Research Scientist - Applied Large Language ModelsYour ImpactAs a Research Scientist specializing in Large Language Models (LLMs), you will be instrumental in leveraging cutting-edge technology across our research domains to revolutionize the drug discovery landscape.Working in a dynamic and creative environment, you will collaborate with leading researchers and engineers to envision, design, and develop state-of-the-art LLM applications that unlock new modeling capabilities and enhance predictive power—critical elements for the organization’s success.
About NevisNevis is pioneering the first-ever AI-driven wealth management platform, recently surpassing $50 billion in assets under management and projected to exceed $100 billion by year-end.Backed by prominent investors, Nevis has successfully secured $40 million in funding from Sequoia Capital, ICONIQ, and Ribbit, positioning itself as one of Europe’s most well-funded and rapidly expanding Series A startups.The RoleWe are on the lookout for an innovative and passionate Applied AI Engineer to join our dynamic team at Nevis. In this critical role, you will influence the development of our cutting-edge AI wealthtech product by creating LLM-driven automation solutions to tackle essential challenges faced by our corporate clients.You will engage with state-of-the-art LLM models, partnering with industry-leading vendors to enhance our product’s reasoning capabilities and achieve superior quality in our models’ outputs.Working alongside a distinguished team of engineers and product creators, including the ex-Head of AI at Revolut, you will have a unique opportunity to make a significant impact in one of the world’s largest industries.What You’ll DoDesign and develop LLM and ML-powered features for the Nevis platform.Collaborate with engineers and product teams to transition new AI capabilities from concept to production.Establish best practices for AI development, testing, observability, and reliability.Continuously assess and enhance AI product performance and reasoning accuracy.Work in tandem with product and design teams to prototype and refine new AI features.Stay abreast of advancements in Generative AI, including agentic systems and context engineering.Who You AreHands-on experience with LLMs.Demonstrated ability to solve real-world challenges using AI/ML.Strong statistical and data analysis skills.A STEM degree from a leading university.A passion for transformative AI technologies.A product-oriented mindset focused on practical solutions.
Join our team at physicsx as a Senior AI Engineer - Applied and be at the forefront of artificial intelligence innovation. This role involves leveraging cutting-edge technologies to develop AI solutions that address real-world challenges. You will collaborate with a talented team of engineers and researchers, contributing to projects that push the boundaries of AI applications.
Join 9fin as an Applied AI Manager!At 9fin, we are revolutionizing the global debt markets — the largest asset class exceeding $145 trillion. Our innovative AI platform transforms fragmented data, PDFs, and manual workflows into a cohesive system that centralizes proprietary credit data, in-depth analysis, and high-impact workflows across the globe.Trusted by over 300 leading institutions, including major banks, asset managers, private equity firms, law firms, and advisory services, we are experiencing rapid growth, particularly in the US market, driven by our exceptional retention rates and deep integration into client workflows.As we reach a pivotal moment in our journey with a proven product-market fit and significant global demand, we invite you to be a part of our mission to become the go-to platform for debt market solutions worldwide.The Role:We are excited to expand our Data Science team! As an Applied AI Manager, you will harness cutting-edge technologies to develop data-driven products utilizing machine learning, computer vision, natural language processing, and more. You will lead the charge in applying AI across teams and products, creating large-scale AI systems while collaborating with top-tier researchers and engineers.Your daily responsibilities will include:Overseeing the design and implementation of sophisticated ML and GenAI systems, ensuring they are robust, scalable, and aligned with our business objectives.Leading the team through the end-to-end model development process, focusing on reproducibility and reliability from experimentation through deployment and monitoring.Making architectural decisions for data-intensive, AI-driven applications while balancing cutting-edge techniques with practical production readiness.Mentoring engineers of all levels, sharing best practices in software engineering, ML/AI, and cloud infrastructure.Collaborating cross-functionally with stakeholders to shape project roadmaps and deliver ambitious projects while maintaining a balance between technical innovation and execution.Promoting engineering excellence through best practices in coding standards, CI/CD processes, observability, and incident management, fostering a culture of technical rigor and continuous improvement.
About UsAt Percepta, we are dedicated to revolutionizing essential industries through applied AI. Our goal is to harness cutting-edge technology to enhance sectors that drive the global economy, such as healthcare, manufacturing, and energy.To achieve this, we collaborate closely with top-tier clients, facilitating their AI transformation journeys. Our unique strengths include:Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit designed for the swift deployment of intelligent workflows.Strategic alliances with industry leaders like Anthropic, McKinsey, AWS, and more.Our rapidly expanding team comprises Applied AI Engineers, Embedded Product Managers, and Researchers, all driven by the mission to integrate AI into tangible improvements in everyday life.Percepta operates as a direct partnership with General Catalyst, a global transformation and investment firm.Role OverviewWe are seeking Applied AI Engineers to engage with customer executives, operators, and technical teams to devise and implement impactful AI systems. As we expand our footprint in Europe, your role will be pivotal in shaping our strategic direction and success in the region. Unlike many roles that focus on prototypes or laboratory projects, you will be responsible for designing, building, and deploying production-grade AI agents and workflows that generate substantial business value for our clients.Key ResponsibilitiesDefine AI Vision: Partner with client stakeholders to outline their long-term AI strategy and transformation roadmap.Identify Opportunities: Work backward from the long-term vision to highlight and prioritize specific AI applications that translate our ambitions into measurable business outcomes.Deliver Real Products: Quickly develop and deploy AI solutions that operate effectively in real-world scenarios with actual users and data.Enhance Our Core Product: Integrate insights from customer engagements into our Mosaic product, consistently introducing new features, patterns, and frameworks.
About UsXapien is revolutionizing the way businesses understand their connections, whether it’s with suppliers, investors, partners, or third parties. We harness the power of advanced AI to provide organizations with unmatched speed, scale, and accuracy in their due diligence processes.Since our inception in 2018, we've transformed from a deep-tech startup into a global leader in AI-driven risk intelligence and due diligence solutions. In 2024, we celebrated a milestone achievement by securing $10M in Series A funding, receiving accolades in the Chartis RiskTech100® and Everest Group’s Leading 50™, and broadening our product offerings, markets, and customer base.2025 has brought even greater opportunities: With increasing compliance demands, emerging regulations, and heightened reputation risks, organizations worldwide are seeking innovative and efficient solutions, placing their trust in Xapien. From renowned law firms and financial institutions to educational and non-profit organizations, our clients rely on us to transform cumbersome manual research into actionable insights delivered within moments.Our growth trajectory:As we expand our reach beyond the UK, we are witnessing a surge in demand across continents, particularly in the Middle East, Asia, and Oceania, with significant growth in sectors such as wealth management, financial services, and supply chain onboarding.Why Join Us Now?This role presents a unique chance to influence the future of the due diligence industry with our leading-edge product, trusted by organizations globally. Regardless of your background—whether in marketing, sales, finance, or communications—you’ll be pivotal in driving growth, establishing credibility, and connecting our product to a dynamic market landscape.We are rapidly scaling, facing new regulatory challenges, and responding to heightened customer expectations. At Xapien, due diligence now embodies real-time insights delivered efficiently and effectively. You will not just execute tasks; you will influence strategies, optimize procedures, and contribute to a brand that is redefining standards for trust and transparency.If you are passionate about learning, innovating, and making a meaningful impact, now is the perfect time to join Xapien.The RoleWe are on the lookout for a detail-oriented Applied Research Engineer to assist in the development of the next generation of algorithms at the core of our systems. With our product experiencing rapid growth, your contributions will be crucial in shaping our solutions.
Role Overview bluefishai is looking for a Senior Applied AI Engineer to help shape how AI is implemented and integrated across the company. This position focuses on driving projects that improve developer productivity, streamline workflows, and introduce new product capabilities. The work is highly cross-functional and centers on delivering measurable business results. Key Responsibilities Lead initiatives that bring structure and clarity to AI adoption, setting standards for teams as they experiment with new approaches. Work closely with engineering, product, and leadership to identify impactful AI use cases and integrate them into the software development lifecycle. Advise on the application of emerging technologies, including agentic capabilities, to both products and internal processes. Mentor engineers, define best practices, and guide teams in adopting AI solutions that scale across the organization. Encourage collaboration and help align teams around practical, measurable solutions that boost productivity. Collaboration and Reporting This role reports directly to the VP of Engineering. Regular collaboration with engineering, product, and leadership teams is expected to ensure AI initiatives are impactful and aligned with business goals. Work Environment bluefishai is in the early stages of its AI journey, with a strong sense of curiosity and momentum. Teams are experimenting with different methodologies, and this role will be central in establishing effective, scalable AI practices across the company. Location This position is based in London or can be performed remotely within the UK.
About AnthropicAt Anthropic, we are committed to developing safe, interpretable, and steerable artificial intelligence systems. Our mission is to ensure that AI technology is both reliable and beneficial for users and society at large. Our rapidly expanding team comprises dedicated researchers, engineers, policy experts, and business leaders collaborating to create impactful AI solutions.About the Role: As an Applied AI Engineer in our Startups team, you will serve as a vital technical advisor to leading AI-native startups, guiding them in leveraging the Claude Developer Platform as they transition from early-stage products to scalable solutions. You'll engage in deep technical collaborations, working directly with startup engineering teams to assist them in product development, agent design, and pioneering advancements in AI.In close partnership with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you’ll navigate startups through intricate technical engagements. Utilizing your expertise in AI engineering, you will create custom evaluation frameworks, design scalable architectures, and produce the technical resources necessary for startups to thrive with Claude.
Role overview The Senior Applied AI Engineer at Taktile will play a central part in building and refining AI-driven solutions for the company's product suite. This position requires direct involvement with AI models and regular collaboration with colleagues across different teams. The work will help guide both the technical and product direction at Taktile. What you will do Design, develop, and implement applied AI models to enhance Taktile’s products. Collaborate with engineering, product, and other teams to take AI features from initial idea to production deployment. Participate in shaping product and AI strategies through active contribution to team discussions and decision-making. Location This is an in-office role based at Taktile’s London location.
About Our TeamThe Applied Foundations team at OpenAI is committed to ensuring that our state-of-the-art technology remains both innovative and resilient against various adversarial challenges. Our mission is to uphold the integrity of our platforms as they evolve and expand. As a vital part of this team, you will be at the forefront of safeguarding against financial exploitation, large-scale attacks, and other forms of misuse that could jeopardize the user experience and operational stability.The Integrity division within Applied Foundations is tasked with developing scalable systems that identify and respond to harmful activities on OpenAI's platforms. We are establishing a pioneering team in London to design next-generation systems that will enhance and scale the capabilities of experts addressing harms associated with our technology.Key ResponsibilitiesDesign and implement scalable foundational systems for the detection, tracking, and enforcement of harmful activities using our technologies.Collaborate closely with both technical and non-technical specialists to gain insights into the harms we observe stemming from our platforms, guiding your design and implementation processes.Utilize OpenAI’s cutting-edge technologies to automate and enhance our ability to swiftly and accurately detect and analyze complex harms with minimal human intervention.Work alongside policy, trust and safety operations, legal teams, and engineers specializing in harm mitigation to comprehensively address abusive behaviors leveraging OpenAI’s technology.Stay updated on the latest techniques and tools to remain ahead of resourceful adversaries.Ideal Candidate ProfileMinimum of 5 years of software engineering experience focusing on backend and data systems.At least 2 years of experience in trust and safety analysis, investigations, and/or operational roles.Passionate about learning from leading experts on AI-related harms and eager to collaborate within an interdisciplinary team comprising both technical and non-technical roles.Ability to navigate our codebase intuitively, providing insights that strengthen our engineering capabilities.A relentless desire to learn and acquire new skills, coupled with the ability to effectively communicate this knowledge to others.
Application Deadline: We are actively interviewing candidates and seek to fill this position promptly with a suitable applicant. THE OPPORTUNITYBecome a vital member of our groundbreaking AGI safety product team and play a key role in transforming intricate AI research into actionable tools aimed at minimizing AI-related risks. In your role as an applied researcher, you will collaborate closely with our CEO (who also acts as Head of Product), product engineers, and the Evals team’s software engineers to develop solutions that enhance AI agent safety for our clients. Currently, we are concentrating on the oversight of AI coding agents to identify failures in safety and security. You will be part of a compact team, which allows you to significantly influence both team dynamics and technological approaches while quickly assuming greater responsibilities. This position is perfect for you if you have a fervent desire to employ empirical research methodologies to enhance the safety of AI systems in practical applications. If you relish the challenge of converting theoretical AI risks into tangible detection mechanisms, thrive in fast-paced environments, and are eager to see your research make a meaningful impact on real-world AI safety, then we would love to hear from you.KEY RESPONSIBILITIESResearch & Development- Collect and catalog coding agent failure modes systematically from real-world instances, public examples, research literature, and theoretical predictions.- Design and execute experiments to evaluate monitor effectiveness across various failure modes and agent behaviors.- Develop and maintain evaluation frameworks to track advancements in monitoring capabilities.- Refine monitoring strategies based on empirical findings, optimizing detection accuracy alongside computational efficiency.- Stay updated with the latest research in AI safety, agent failures, and detection methodologies.- Keep abreast of advancements in coding security and safety vulnerabilities.Monitor Design & Optimization- Create a comprehensive library of monitoring prompts tailored to specific failure modes (e.g., security vulnerabilities, goal misalignment, deceptive behaviors).- Experiment with various reasoning strategies and output formats to enhance monitor reliability.- Design and evaluate hierarchical monitoring architectures and ensemble approaches.
Artificial Intelligence is increasingly essential across all sectors of society. At Scale AI, our mission is to expedite the evolution of AI applications. For the past eight years, we have been at the forefront of AI data innovation, driving some of the most groundbreaking advancements in AI, such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding, we are enhancing the application of frontier data and models by developing sophisticated agents for enterprises globally through our Scale Generative Platform (SGP).The SGP ML team is at the forefront of the AI revolution. We engage directly with clients to design state-of-the-art products utilizing the extensive proprietary research and resources cultivated at Scale. As an Applied AI Engineer, you will collaborate with clients to develop machine learning solutions tailored to their business challenges. Your responsibilities will span from constructing next-generation AI cybersecurity firewalls to transforming AI experiences in journalism and employing foundational genomic models for life-saving drug protein predictions. Daily data-driven experiments will yield critical insights regarding model capabilities and deficiencies, which you will leverage to enhance product performance. If you are passionate about shaping the future of the AI landscape, we are eager to hear from you!
Technical Staff Member - Applied AIExciting Opportunity Awaiting YouWe are seeking a talented Member of Technical Staff specializing in generative modeling to bridge the gap between our cutting-edge models and the clients who rely on them. You will be a part of a diverse team comprising machine learning experts, protein engineers, and biologists, all collaboratively working to revolutionize biological control and disease treatment. In this role, you will gain a thorough understanding of our proprietary generative models and leverage that expertise to adapt, deploy, and optimize these models in client environments, especially within the pharmaceutical and biotech industries.This is a hybrid position requiring a research-oriented mindset coupled with excellent communication skills to effectively translate complex concepts into practical production systems that yield scientific benefits for our partners.About Latent LabsAt Latent Labs, we are committed to developing pioneering models that grasp the fundamentals of biology. Our ambitious goals are driven by curiosity and an unwavering commitment to scientific excellence. Our team previously contributed to the award-winning AlphaFold project at DeepMind, invented latent diffusion, and established groundbreaking lab data management and high-throughput protein screening systems. At Latent Labs, you'll collaborate with some of the brightest minds in generative AI and biology.We foster an environment of interdisciplinary exchange, continuous learning, and collaboration. Our offsite team-building activities promote a culture of trust across our London and San Francisco offices.We are looking for innovative thinkers who are passionate about solving complex challenges and making a positive global impact. Join us on our ambitious mission!
Are you a passionate data scientist looking to make a significant impact in a dynamic environment? Join Marshmallow as a Staff Data Scientist and leverage your expertise to drive innovative data solutions. In this role, you will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our product offerings.
About AnthropicAt Anthropic, our mission centers around the creation of trustworthy, interpretable, and controllable AI systems. We aim to ensure that AI remains safe and advantageous, benefiting both our users and society at large. Our rapidly expanding team comprises dedicated researchers, engineers, policy specialists, and business leaders collaborating to construct beneficial AI systems.About the RoleAs the Manager of the Applied AI Architect team for Northern European Industries at Anthropic, you will spearhead the implementation of cutting-edge AI technologies by facilitating the deployment of Anthropic's products—Claude for Enterprise, Claude Code, and API—across large enterprises in various non-tech sectors within the UK, Ireland, and the Nordics. Your technical expertise and consultative sales background will empower you to drive impactful AI transformations that cater to our customers' business objectives, fulfill their technical specifications, and ensure high reliability and safety.Your responsibilities will include leading and expanding the Northern Europe Applied AI Architect team, establishing processes and best practices for pre-sales engagements in your segment based on your extensive market knowledge and experience. You will assist each team member in achieving success, enhancing productivity, and advancing their careers while representing Anthropic as a technical authority on significant partnerships.In collaboration with Sales, Product, and Engineering teams, you will guide large enterprise clients in integrating advanced AI systems into both internal business transformation projects and consumer-facing products. Additionally, you will develop technical go-to-market strategies for Anthropic's offerings and outline high-value industry solutions. Utilizing your exceptional communication skills, you will effectively explain and demonstrate intricate solutions to both technical and non-technical stakeholders. Your role will be pivotal in identifying avenues for innovation and differentiation in our AI systems while adhering to our exemplary safety standards and ensuring compliance with local regulations across Northern Europe.
About Aptura AIAptura AI specializes in developing domain-specific artificial intelligence systems tailored for regulated sectors, including finance. By integrating cutting-edge models with insights from industry experts, we aim to revolutionize the way AI operates in finance, healthcare, and legal contexts. Our leadership team boasts experience from esteemed firms such as Lazard and Partners Group, with operations spanning both London and San Francisco. We collaborate with AI research labs and specialized companies to enhance the reasoning capabilities of our models.The OpportunityThis fellowship is crafted for individuals eager to leverage advanced financial training within pioneering AI environments.Your work will be positioned at the nexus of:· Corporate finance and investment analysis· Financial modeling and valuation· Evaluation of AI systems and model behaviorYour ResponsibilitiesYou will collaborate closely with Aptura's founders, finance experts, and machine learning teams on initiatives that influence the performance of advanced AI systems in financial contexts. Typical tasks include:Building and validating financial models: Create Discounted Cash Flow (DCF) models, comparable company analyses, precedent transaction analyses, leveraged buyout (LBO) scenarios, and credit assessments, which will serve as benchmarks for evaluating AI systems.Assessing financial reasoning quality: Analyze outputs generated by models to identify logical errors, incorrect assumptions, flawed methodologies, or misinterpretations of the market that a seasoned analyst would detect.Developing decision frameworks: Convert the thought processes of finance professionals regarding trade-offs, uncertainties, and scenario analyses into structured frameworks for testing model efficacy.Creating robust evaluation tasks: Assist in defining financial problems that distinguish high-quality model reasoning from subpar reasoning across areas such as mergers & acquisitions (M&A), debt structuring, earnings analysis, and capital allocation.Conducting human-model comparisons: Compare AI-driven analyses with human expert approaches to pinpoint gaps in model context, incorrect assumptions, or unsupported conclusions.Collaborating with research and ML teams: Work cross-departmentally to enhance prompts, refine task designs, and improve the reliability of finance-specific model behaviors.
Join a pioneering journey in AI innovation!We are seeking a Founding Applied AI Engineer to be part of our client’s dynamic team in London. As an early hire in a rapidly growing startup moving from Seed to Series B funding, you will play a crucial role in shaping the future of intelligent systems.
Feb 7, 2026
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