Data Science and Machine Learning Engineer

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.

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.

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.

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.

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.

About RecraftFounded in the US in 2022 and now thriving in London, UK, Recraft is revolutionizing the creative landscape with an innovative AI tool designed for professional designers, illustrators, and marketers. We are committed to setting a new benchmark in the realm of image generation.Our platform 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 producing hundreds of millions of stunning images, Recraft is just getting started in its journey to redefine creativity.Join us in a world of professional growth, contribute to large-scale projects, and help shape the future of creativity. Our mission is clear: to make Recraft an indispensable tool for every designer and to elevate the industry standard. We are dedicated to ensuring that creators retain full control over their creative processes, providing them with cutting-edge tools to transform their ideas into reality.If you are driven by the passion to push the boundaries of AI, we invite you to join our team!Position OverviewAs a part of Recraft, you will play a pivotal role in developing the next generation of generative models for images and text. We are seeking an ML Data Engineer to enhance our data pipelines for unstructured data, primarily focusing on images. Your work will ensure our training workflows are efficient, reliable, and scalable. You will design and manage high-throughput ingestion and preprocessing on Kubernetes, evolve our internal data-pipeline framework, and collaborate closely with ML engineers to deliver datasets that significantly improve model quality.Key ResponsibilitiesDesign and maintain robust data-ingestion pipelines to source and prepare large-scale datasets of images (and occasionally text/HTML) from open, publicly accessible, and authorized sources.Manage the complete data flow: from raw data to quality filtering, deduplication, validation, and creation of training-ready artifacts. Enhance our Kubernetes-based data-pipeline framework, including distributed job handling, retries, monitoring, and automation.Utilize S3-style object storage for efficient data layouts, lifecycle management, throughput optimization, and cost considerations.Implement additional tools for pipeline observability, including progress tracking, health visualization, performance metrics, and alert systems to facilitate rapid iteration.Collaborate intimately with ML engineers to align datasets with training requirements and expedite experimentation processes.

At Perplexity, we empower millions of users every day with accurate, high-quality answers through our innovative LLM-first search engine and specialized data sources. Join our Answer Quality team, where we focus on enhancing user experience by ensuring our prompts, tools, search capabilities, and specialized datasets, combined with both cutting-edge and in-house models, provide the best results. As a Data Scientist/Engineer, you will analyze online signals derived from user interactions to connect shifts in answer quality with actual user behavior.Key ResponsibilitiesIdentify and validate online signals from user interactions that act as dependable indicators of true answer quality.Develop and implement innovative online metrics for tracking in A/B testing and product health dashboards, ensuring alignment with ground-truth evaluations.Evaluate experimental results to validate these metrics, ensuring they accurately reflect user satisfaction and guide product decisions.Construct and sustain data pipelines that compute these metrics at scale, providing actionable quality signals to Search, Product, and model training teams.Share insights and foster collaboration with Product and Search teams to enhance clarity and understanding.Contribute to a small, high-impact team where your work is instrumental in shaping how Perplexity measures and enhances Answer Quality.QualificationsMaster's degree in a technical field or equivalent professional experience.4+ years of experience in roles such as Data Scientist, Analytics Engineer, or similar positions.Proven experience with search, recommendation, or LLM-based products, particularly in designing online metrics and analyzing A/B tests.Strong coding skills in Python and SQL, with the ability to produce production-grade code.In-depth knowledge of statistical analysis methodologies.Experience using Business Intelligence (BI) tools for data visualization and reporting.Comfortable with coding workflows and using AI-assisted development tools for rapid iteration.Preferred QualificationsFamiliarity with Apache Spark and Databricks.Experience in developing or validating LLM-as-a-judge systems.Previous experience supporting large-scale customer-facing products.

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 Faculty as a Machine Learning Engineer and be at the forefront of innovation in artificial intelligence. In this role, you will leverage your expertise in machine learning to develop and implement cutting-edge algorithms and models that drive impactful solutions across various industries.As a part of our dynamic team, you will work collaboratively to transform complex data sets into actionable insights, optimizing our products and enhancing client offerings. If you are passionate about technology and eager to make a difference, we would love to hear from you!

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.

Join our dynamic team at Trainline as a Data Scientist, where you will leverage data to drive insights and influence strategic decisions. You will work with cross-functional teams to develop models that enhance our customer experience and optimize our operations. If you have a passion for data and want to make a real impact in the travel industry, this is the opportunity for you!

Join Almedia as a Machine Learning Engineer, where you'll be at the forefront of innovation in artificial intelligence and machine learning technologies. Your role will involve designing and implementing machine learning models to solve complex real-world problems. Collaborate with a talented team of engineers and data scientists to enhance our products and services through cutting-edge algorithms and data-driven solutions.

Join Canva as a Senior Machine Learning Engineer specializing in Multimodal Data! In this pivotal role, you will leverage your expertise in machine learning to develop innovative solutions that integrate various data types. Collaborate with cross-functional teams to enhance our product offerings and drive user engagement through advanced AI technologies.

Join our dynamic team at comind as a Senior Machine Learning Engineer. In this pivotal role, you will leverage your expertise in machine learning and data analysis to develop innovative solutions that drive our business forward. You will collaborate with cross-functional teams to design, implement, and optimize algorithms that enhance our products and services.

Join Ravelin, the forefront of fraud detection technology! We leverage cutting-edge machine learning and network analysis to tackle significant challenges in online transaction security. Our mission is to ensure that online transactions are safe, allowing our clients to confidently serve their customers.We believe in fostering a vibrant workplace culture characterized by empathy, ambition, unity, and integrity. At Ravelin, we emphasize work-life balance and maintain a flat hierarchy across the company. By becoming part of our team, you will quickly gain insights into the latest technologies while collaborating with some of the brightest minds in the industry. Check out our Glassdoor reviews!If you resonate with our values and enthusiasm for preventing fraud, we encourage you to explore our blog to see how you can contribute to safeguarding the world's largest online businesses.The RoleWe are excited to welcome a Junior Data Scientist to our dynamic team of client-facing data scientists and support analysts. In this pivotal role, you will delve into client data to uncover patterns and trends related to fraud. By applying exploratory analysis, you will create meaningful narratives from data, probing not just “what” and “how” but also “why.” Your interactions with clients will be crucial in helping them understand their fraud landscape and refining our focus on targeted solutions.ResponsibilitiesEngage directly with clients to deliver insights from fraud analytics and machine learning models.Examine large datasets to pinpoint fraud patterns, trends, and emerging threats, enhancing client outcomes.Collaborate with clients to address specific fraud challenges, developing effective and innovative solutions.Compile reports and present analytical findings to clients as needed.Identify new model features and enhance model efficacy.Optimize graph network performance through network analysis.Gain practical experience with our cloud infrastructure and utilize available tools to enhance client data and performance.Develop internal tools in Python to improve our analytical abilities.

Join our dynamic team at Faculty as a Data Scientist, where your analytical prowess will help drive impactful decisions across various sectors. In this role, you'll leverage advanced statistical techniques and machine learning algorithms to extract insights from complex datasets, delivering actionable recommendations to stakeholders. Collaborate with cross-functional teams to innovate and optimize data-driven solutions that enhance our clients' operational efficiency.

Join Perplexity, a cutting-edge company serving millions of users each day with high-quality answers powered by an LLM-first search engine and specialized data sources. We strive to leverage the latest models as they become available, navigating the complexities of the intelligence frontier where traditional benchmarks may fall short. In this pivotal role, you will be responsible for creating specialized evaluations aimed at enhancing answer quality across Perplexity, specifically focusing on search-based LLM responses and other user-favored scenarios.ResponsibilitiesDesign and manage automated evaluation pipelines that measure answer quality across Perplexity's products, ensuring adherence to high standards of accuracy and usefulness.Create tailored evaluation datasets and methodologies to assess the influence of tool calls, particularly in web search retrieval, on the quality of final answers.Develop VLM-based solutions to programmatically analyze the visual rendering of final answers across various platforms and devices.Consistently evaluate public benchmarks and academic assessments for their relevance to Perplexity's offerings, adapting and integrating them into our ongoing performance evaluations.Collaborate within a small, high-impact team where your evaluation metrics will directly influence product enhancements, working closely with technical leadership to measure and elevate Answer Quality.QualificationsPhD or MS in a technical discipline or equivalent practical experience.A minimum of 4 years of experience in data science or machine learning.Proficient in Python and SQL, with the ability to write production-quality code.Experience with modern cloud data stacks, particularly AWS and Databricks.Familiarity with agentic coding workflows and utilizing AI-assisted development tools for efficient iteration.Preferred QualificationsAt least 1 year of experience working with LLMs at scale, especially in LLM-as-a-judge configurations.Experience developing customer-facing web products or consumer applications with significant user traffic.A robust research background, demonstrating the application of research methodologies to real-world machine learning challenges.Experience in defining evaluation metrics, such as factual consistency, hallucination rate, and retrieval precision, along with creating ground truth datasets.

Are you ready to drive change? Join AnyVan and transform the way we move anything, anywhere. Here, you can build a fast-paced career that matches our innovative approach to logistics.Founded in 2009 by our visionary CEO Angus, AnyVan was born from a simple observation: too many vans were on the road half-empty. We set out to revolutionize logistics technology, aiming to reduce wasted miles by efficiently filling those empty spaces.Today, we proudly serve over 5 million customers across the UK and Europe, supported by a dedicated team of 400 AnyVanners based in London, Cape Town, and Bogota. Together, we are committed to making a difference by saving 8,520 tonnes of carbon emissions annually.At the heart of our rapidly growing logistics marketplace is a dynamic interplay of supply, demand, and the customers eager to receive their belongings.This is where you come in.We are seeking a Senior Pricing Data Scientist—a professional who blends data science, economics, and storytelling to create models that elegantly manage complex systems.If you're passionate about transforming chaotic marketplaces into well-functioning systems, we want you to shape our pricing engines, conduct adaptive experiments, develop new data science products, and articulate complex insights into impactful narratives for the business.If you're excited about driving impact through experimentation, refining state-of-the-art pricing models, and tackling high-stakes challenges, come take the wheel! Key Responsibilities: Develop and Enhance ML Pricing Engines Craft and implement innovative pricing models that empower AnyVan to make informed decisions and foster a thriving marketplace. Conduct Adaptive Experiments Deploy systems that learn dynamically from customer behaviors, ensuring our pricing adapts to the ever-evolving marketplace. Innovate Data Science Products Identify opportunities, devise solutions, and deliver tools that elevate business processes and make data indispensable. Communicate Complex Insights Clearly Transform intricate models into engaging, impactful narratives for stakeholders.

About LendableLendable is on an ambitious journey to create the world's leading technology for enabling access to credit and facilitating savings. We are rapidly emerging as one of the foremost fintech firms globally, with a remarkable trajectory:Recognized as one of the UK's newest unicorns, our talented team exceeds 700 individuals.We are among the fastest-growing tech companies in the UK.Achieved profitability since 2017.Supported by prestigious investors such as Balderton Capital and Goldman Sachs.Adored by customers, boasting top reviews (4.9 stars across thousands of reviews on Trustpilot).To date, we have reimagined the Big Three consumer finance products from the ground up: loans, credit cards, and car finance. Our innovative approach ensures that customers receive funds within minutes instead of days.With our rapid growth, we are poised to tackle the two largest Western markets (UK and US), where vast financial assets are managed by traditional banks with outdated systems and cumbersome processes.Why Join Us?Embrace ownership across diverse responsibilities. From day one, you will have the autonomy to make impactful decisions that shape Lendable's success.Collaborate with exceptional teams who are committed to resourcefulness in solving problems and developing innovative solutions.Develop cutting-edge technology in-house, utilizing advanced data sources, machine learning, and AI to optimize our processes.About the RoleWe are thrilled to welcome a new Data Scientist to our dynamic team! As a leader in real rate risk-based pricing, Lendable provides consumers with clear insights and product assurance during the application process. Data Science is integral to this unique selling proposition, crafting robust credit risk models for our loan and credit card offerings.You will leverage the latest machine learning methodologies alongside a comprehensive data repository to construct market-leading risk models.