Applied Scientist – Forest Lidar & 3D Machine Learning

Wise seeks a Lead Machine Learning Engineer / Scientist based in London. This role centers on developing and refining machine learning models and algorithms that help drive data-informed decisions throughout the company. What you will do Build and enhance machine learning models to support Wise’s products and services. Collaborate with teams from various disciplines to deliver scalable, effective solutions. Apply advanced algorithms to improve decision-making and strengthen product offerings. Collaboration This position involves working closely with colleagues across the business, bringing together expertise from different areas to solve complex challenges and deliver impactful results.

About WheelyWheely is at the forefront of revolutionizing premium transportation across major cities in Europe, the US, and the Middle East. We integrate advanced technology with the art of five-star chauffeuring, providing an experience trusted by over 100,000 active riders and 1,200 corporate partners.As a profitable and rapidly growing scale-up, we have raised $43M and generated over $100M in annual revenue. With our recent expansion into New York City, we are accelerating our growth across the US and EMEA. If you are passionate about your craft and eager to help shape the next phase of our journey, we invite you to connect with us.We are looking for mid-level and senior Data Scientists / Machine Learning Engineers who will take ownership of the entire workflow, from ideation and research to production deployment.Join one of our specialized teams (Mapping, Matching, Pricing, or Supply) to tackle complex and high-impact challenges such as ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration.

At Intercom, we are revolutionizing customer service through artificial intelligence, empowering businesses to deliver outstanding customer experiences.Our AI agent, Fin, stands as the most sophisticated customer service AI agent available, allowing companies to provide continuous, flawless customer support, ultimately enhancing customer interactions. Fin seamlessly integrates with our Helpdesk to form the Intercom Customer Service Suite—a comprehensive solution that offers AI-augmented assistance for more complex or high-touch inquiries that necessitate human intervention.Since our inception in 2011, Intercom has earned the trust of nearly 30,000 businesses worldwide and is setting a new benchmark in customer service. Guided by our core values, we consistently push boundaries, work with speed and intensity, and deliver exceptional value to our clients.What’s the Opportunity?The Machine Learning team at Intercom is tasked with defining innovative ML features, researching suitable algorithms and technologies, and quickly delivering initial prototypes to our customers.Our team is deeply product-focused, collaborating closely with Product and Design teams. Our dedicated ML product engineers enable rapid transitions to production, often launching beta versions just weeks after successful offline testing.We are passionate about harnessing machine learning technology, having productized everything from traditional supervised models to cutting-edge unsupervised clustering algorithms and novel transformer neural network applications. We rigorously evaluate the real customer impact of each model we deploy.What Will I Be Doing?Identifying opportunities where machine learning can add value for our customers.Defining the appropriate ML framing for product challenges.Collaborating with teammates and stakeholders from Product and Design.Conducting exploratory data analysis and research.Gaining a deep understanding of the problem areas.Researching and selecting the most suitable algorithms and tools.Being pragmatic while pushing the boundaries of innovation when necessary.Performing offline evaluations to validate algorithm effectiveness.Working alongside engineers to transition prototypes into production.Planning, measuring, and sharing insights to guide iterative development.Collaborating closely with the team and others to create exceptional ML products.

Isomorphic Labs is pioneering the application of advanced AI technologies to unlock profound scientific insights, expedite breakthroughs, and develop transformative medicines with a vision to eradicate all diseases.The future is on the horizon, made possible by the remarkable capabilities of machine learning. We envision a world where diseases are effectively managed or eliminated through accelerated and enhanced drug discovery.Join our interdisciplinary team to spearhead groundbreaking innovations and play a pivotal role in our mission to achieve ambitious health-related goals, all while contributing to a vibrant and collaborative workplace culture.The future we aspire to is being shaped today. It begins with our culture at Isomorphic Labs. It starts with you.About Isomorphic LabsFounded in 2021, Isomorphic Labs (IsoLabs) strives to enhance human health by building upon the Nobel Prize-winning AlphaFold system. Our diverse team of experts in drug discovery and machine learning has developed groundbreaking predictive and generative AI models that accelerate scientific discovery at an unprecedented pace.Our name reflects our belief in the inherent symmetry between biology and information science. By leveraging AI's robust capabilities, we can model complex biological processes to design innovative molecules, predict drug performance, and develop novel treatments for some of the world's most challenging diseases.Our state-of-the-art drug design engine integrates AI models capable of addressing various therapeutic areas and drug modalities. We are dedicated to continuously innovating model architectures and creating cutting-edge solutions to advance rational drug design.With each significant advancement, we are progressing towards the promise of digital biology, moving closer to our ambitious mission of ultimately solving all diseases through the power of AI.

Join our dynamic team at Faculty as a Lead Machine Learning Engineer. In this pivotal role, you will spearhead innovative machine learning projects while mentoring a talented team of engineers. You will be responsible for designing cutting-edge algorithms and developing scalable models to solve complex business challenges.The ideal candidate will possess a deep understanding of machine learning frameworks, proficiency in programming languages such as Python or R, and a passion for pushing the boundaries of technology. You will collaborate closely with cross-functional teams to ensure the successful implementation of machine learning solutions.

Why Join Faculty?Founded in 2014, Faculty was established with the belief that artificial intelligence (AI) would be the defining technology of our era. Since then, we have partnered with over 350 global clients to enhance their operations through human-centric AI solutions. Discover our real-world impact here.We focus on genuine innovation rather than fleeting trends. Our team excels in creating and implementing responsible AI that delivers substantial results. We offer unmatched expertise in technical, product, and delivery aspects to a diverse clientele, including sectors such as government, finance, retail, energy, life sciences, and defense.As our business and reputation continue to expand rapidly, we seek individuals who share our passion for intellectual exploration and our commitment to creating a lasting positive legacy through technology.Join us at the forefront of AI technology, where you will have the autonomy to conceptualize its most impactful applications and bring them to life.About Our TeamOur Retail and Consumer team is committed to assisting clients in an industry that is being revolutionized by new technologies and shifting consumer expectations. With over a decade of experience in Applied AI, we blend exceptional technical and delivery skills to enable businesses to adapt and flourish.The RoleAs a Lead Machine Learning Engineer, you will take charge of the technical direction and execution of intricate, cutting-edge AI projects. You will serve as a technical authority, applying your expertise across diverse projects from AI strategy formulation to client-side implementations, while ensuring robust architectural decisions.This role requires a mix of advanced technical skills and leadership capabilities, emphasizing innovation, team development, and the creation of reusable solutions throughout the organization. If you are prepared to manage high-stakes projects and deliver practical, innovative results, this is your opportunity to influence our future.Your ResponsibilitiesEstablishing the technical trajectory for complex ML projects, managing trade-offs, and directing team priorities.Designing, implementing, and sustaining reliable, scalable ML/software systems while justifying crucial architectural choices.

Join Vortexa, a leader in the energy data analytics sector, as a Data Scientist specializing in production-grade machine learning. In this role, you will harness the power of advanced algorithms to process thousands of energy data points per second from diverse operational sources. Your expertise will be crucial in managing vast datasets while implementing sophisticated classification and anomaly detection models in real-time. You will maintain comprehensive data lineage and deliver actionable insights through high-performance platforms utilized by energy operators around the world.As a member of the Data Platform Team, you will oversee all machine learning operations across our extensive energy data ecosystem. Your work will span from raw sensor data from millions of energy assets to complex operational datasets, generating high-value predictions such as equipment failure detection, energy demand forecasting, operational anomaly identification, predictive maintenance scheduling, and system optimization recommendations.We pride ourselves on developing a robust suite of statistical and machine learning models that provide the most precise and actionable insights into energy operations. Our models are continuously validated by in-house energy analysts and traders, ensuring the reliability of our predictions. You will play a key role in designing and building ML infrastructure and applications that enhance the design, deployment, and monitoring of ML pipelines and models.Collaborating closely with software engineers, fellow data scientists, and energy analysts, you will help bridge the gap between research experiments and production energy systems, ensuring operational uptime and fault tolerance of our ML platform.

Faculty, founded in 2014, focuses on using artificial intelligence to bring about meaningful change for clients worldwide. The company’s mission centers on developing responsible, human-centric AI solutions that have a real impact across sectors such as government, finance, retail, energy, life sciences, and defense. Faculty’s team brings strong technical, product, and delivery skills, working with over 350 global clients. More about their impact can be found here. Faculty values innovation that lasts, aiming to deliver AI that makes a genuine difference rather than following short-lived trends. The organization looks for people who share a curiosity for technology and a desire to leave a positive legacy. Division focus The Energy, Transition, and Environment team leads Faculty’s work in the clean energy sector. This division partners with major energy providers, GreenTech startups, and national infrastructure bodies to accelerate the move toward net-zero emissions and improve efficiency for utility companies. The team’s projects aim to deliver measurable, sustainable results through responsible AI use. Role overview The Lead Machine Learning Engineer will set technical direction and ensure the successful delivery of complex AI projects. This role involves shaping AI strategies, overseeing client implementations, and making key architectural decisions. The position combines deep technical expertise with leadership, fostering team growth and building reusable solutions across the company. What you will do Guide technical strategy for AI initiatives within the Energy, Transition, and Environment division Oversee project execution from initial strategy through client delivery Make architectural decisions to ensure reliability and scalability Mentor team members and support their development Contribute to reusable solutions that benefit the wider organization

Join our dynamic team as a Lead Machine Learning Engineer at Faculty, where you will spearhead innovative machine learning projects that drive impactful solutions. You will collaborate closely with cross-functional teams to design, develop, and deploy cutting-edge machine learning models that enhance decision-making processes. Your expertise will guide our data-driven initiatives, ensuring we remain at the forefront of technological advancement.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of AI innovation, believing it to be the pivotal technology of our era. With a diverse portfolio of over 350 global clients, we are committed to enhancing performance through human-centric AI solutions. To learn more about our impactful work, click here.We prioritize innovation over fleeting trends, focusing on the development and deployment of responsible AI that drives tangible results. Our expertise in technical, product, and delivery aspects empowers clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business and reputation expand rapidly, we actively seek individuals who share our intellectual curiosity and ambition to leave a positive technological legacy.AI is a transformative force; join us to explore its most powerful applications and make them a reality.About Our TeamOur Energy, Transition, and Environment unit is leading the way in advancing the clean energy revolution. We aim to expedite the shift toward net-zero emissions and enhance efficiencies for the next generation of utility companies.We believe that the responsible and intelligent utilization of AI is essential for achieving our mission. Collaborating with a variety of clients—from major energy operators to GreenTech startups and national infrastructure providers—we create solutions that yield measurable impact, steering us toward a smarter, cleaner, and more sustainable future.Role OverviewAs a Lead Software Engineer focused on Machine Learning, you will guide the technical direction and execution of sophisticated AI projects. Your role will encompass serving as a technical authority, applying your expertise across numerous projects, from client-side deployments to strategic AI advisory, ensuring that architectural choices are robust and dependable.This position requires a blend of advanced technical skills and effective leadership, emphasizing innovation, nurturing team development, and crafting reusable solutions throughout the organization. If you are prepared to manage complex projects and deliver practical, innovative results, this is your opportunity to influence our future.Key Responsibilities:Establishing the technical direction and overseeing the development of AI projects.Leading a team of engineers, providing mentorship and fostering a collaborative work environment.Ensuring best practices in software development and design principles are adhered to.Engaging with clients to understand their needs and translating them into technical solutions.

Join our innovative team at Helical as a Senior Computational Scientist, where your expertise in computational biology and machine learning will directly contribute to transformative drug discovery processes. You will play a pivotal role in bridging the gap between our foundational models and real-world applications, guiding model evaluations and practical use cases that address pressing challenges in drug development and translational research.As a respected senior individual contributor, you will report to the Head of Computational Biology, with ample opportunities for career advancement into management roles as our team expands. You will collaborate closely with our research team, providing mentorship to junior scientists and working in tandem with Product and Business Development to translate advanced biological concepts and machine learning techniques into impactful solutions for our clients.

About UsFounded in the United States in 2022 and now headquartered in London, UK, Recraft is revolutionizing the creative landscape with its cutting-edge AI tool designed specifically for professional designers, illustrators, and marketers. Our platform sets a new benchmark in image generation excellence.Our innovative tool empowers creators to swiftly generate and refine original images, vector art, illustrations, icons, and 3D graphics using AI technology. With over 3 million users across 200 countries, who have collectively produced hundreds of millions of images, Recraft is just at the beginning of its journey.Join us and explore a universe of professional opportunities! Contribute to large-scale projects and help shape the future of creativity. We are dedicated to making Recraft an indispensable daily tool for every designer, setting the industry standard. Our mission is to enable creators to fully control their creative process with AI, equipping them with innovative tools to turn their ideas into reality.If you are enthusiastic about pushing the boundaries of AI, we welcome you to join our team!

About ZegoAt Zego, we believe that traditional motor insurance can be a barrier for exemplary drivers. It's often too complex, costly, and fails to accurately reflect real driving behavior.Since our inception in 2016, we've dedicated ourselves to transforming the insurance landscape. Our goal is to provide the most affordable insurance options for responsible drivers.Our diverse clientele, ranging from van drivers and gig economy workers to everyday car owners, is at the core of our operations.Having successfully sold tens of millions of policies and secured over $200 million in funding, we are just getting started on this exciting journey.Your RoleWe are in search of a Lead Data Scientist to join our Core Pricing team, reporting directly to the Head of Data Science. You will play a critical role in shaping and executing a high-performance data-science operating model, swiftly transforming concepts into production-ready pricing and risk models.Key ResponsibilitiesLead the development and enhancement of next-generation risk models, managing all aspects from innovative feature discovery and sophisticated modeling to dependable pipeline deployment and strategic R&D initiatives.Implement a robust Data Science workflow: ensuring clear guidelines, templates, and documentation throughout the project lifecycle.Accelerate the idea-to-production timeline: from initial data acquisition to live rate adjustments.Promote a culture of collaborative experimentation: integrating Pricing, Data Science, Machine Learning Engineering, and Systems Engineering.Team leadership and mentorship: oversee a team of 2 Data Scientists, guiding their professional growth and development.Establish coding standards and best practices, mapping common processes and creating playbooks.Assist in selecting tools utilized throughout the Data Science project lifecycle.

Are you passionate about data and eager to drive innovation? Join Hudl as a Lead Data Scientist and take the reins in shaping data-driven strategies. In this role, you will leverage advanced analytics to enhance performance across various teams and projects, while mentoring junior data scientists to foster their growth.

Join datatonic as a Machine Learning Engineer and be part of a dynamic team dedicated to leveraging data to drive intelligent decision-making. You will design and implement machine learning models, optimize algorithms, and collaborate with cross-functional teams to deliver innovative solutions.

Join datatonic as a Senior Machine Learning Engineer and be a pivotal part of our innovative team focused on transforming data into actionable insights. In this role, you will leverage your expertise in machine learning to develop and enhance algorithms, contribute to data-driven solutions, and collaborate with cross-functional teams to push the boundaries of data analytics.

Intercom is an innovative AI Customer Service company dedicated to empowering businesses to deliver exceptional customer experiences.Our state-of-the-art AI agent, Fin, is recognized as the leading customer service AI solution available. It enables businesses to provide consistent, high-quality customer service, thereby enhancing their overall customer experience. Fin can seamlessly integrate with our Helpdesk to form the comprehensive Intercom Customer Service Suite, which offers AI-enhanced support for more complex queries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is redefining the customer service landscape. Guided by our core values, we continuously challenge the status quo, act with urgency, and strive to deliver remarkable value to our clients.What is the Opportunity?Our Machine Learning team at Intercom is pivotal in identifying and developing new ML features, exploring suitable algorithms and technologies, and swiftly delivering initial prototypes to our customers.We are a highly product-focused team, collaborating closely with our Product and Design partners. The dedicated ML product engineers on our team enable us to expedite our transition to production, often launching beta versions just weeks after successful offline testing.We are deeply passionate about harnessing machine learning technology, having productized a range from traditional supervised models to state-of-the-art unsupervised clustering algorithms and innovative applications of transformer neural networks. We rigorously test and evaluate the tangible customer impact of each model we deploy.What Will I Be Doing?Actively participate in recruitment, mentoring, and career development initiatives for fellow engineers.Elevate technical standards, performance metrics, reliability, and operational excellence.Pinpoint opportunities where ML can deliver significant value to our customers.Collaborate with team members and Product and Design stakeholders to define the appropriate ML framework for product challenges.Conduct exploratory data analysis and research to gain a deep understanding of the problem domain.Investigate and select suitable algorithms and tools, balancing practicality with cutting-edge innovation where necessary.Execute offline evaluations to validate algorithm efficacy.Collaborate with engineers to transition prototypes to production.Plan, measure, and disseminate insights to guide iterative improvements.

Join Trainline as the Head of Machine Learning Engineering, where you'll lead our innovative machine learning initiatives. In this pivotal role, you will spearhead the development and implementation of advanced ML solutions that enhance our customer experience and optimize our operations.

Join Our Team as a Staff Machine Learning EngineerBecome an integral part of Deliveroo’s mission to revolutionize the shopping and dining experience with a focus on impact, innovation, and growth. Our talented Engineering teams tackle intricate technical challenges within a global, three-sided marketplace, developing and scaling systems that cater to millions of customers, riders, and partners daily.From advanced real-time logistics to robust infrastructure and marketplace optimization, we create and manage the technology that fuels Deliveroo’s expansive growth.We are seeking a Staff Machine Learning Engineer to join our dynamic London team (working in a hybrid model, 3 days in the office). In this pivotal role, you will design and construct intelligent decision-making systems that operate at a large scale, directly influencing the experiences of consumers, riders, and merchants.Explore our Engineering team and discover our motivations, work culture, and what you can expect as part of our community.Your ResponsibilitiesJoin the Consumer Pricing team to tackle complex pricing challenges at Deliveroo. We are advancing towards dynamic, personalized pricing strategies that take into account consumer behavior, loyalty programs, and real-time market conditions.Your daily tasks will include:Designing and developing high-performance machine learning and optimization systems that guide Deliveroo’s core decisions at scale.Leading the technical advancement of our pricing infrastructure, resolving architectural bottlenecks and integrating enhanced model inputs and decision variables.Creating algorithms to enhance real-time marketplace efficiency, including personalized elasticity models and delivery time forecasts.Collaborating closely with Product Managers and Data Scientists to convert complex business challenges into effective algorithmic solutions.Providing technical leadership across various product domains, identifying and prioritizing high-impact algorithmic enhancements.Mentoring and guiding fellow engineers, elevating technical standards and advancing our machine learning and optimization practices across the company.Qualifications for SuccessThe ideal candidate will possess strong expertise in several of the following areas, along with a desire to grow in others: