1,501 to 1,525 of 1,918 Data Science Jobs in London

build and scale AI platform capabilities, including agent frameworks, orchestration, and call summarization. You will translate platform strategy into shippable capabilities, work with engineers, data scientists and product teams, and drive the backlog to deliver reusable AI services across the AM landscape. #J-18808-Ljbffr ...

build customer-facing recommendation and ranking algorithms within the Customer department, focusing on the Partner recommendations product and homepage ranking. You’ll work with data scientists and engineers to translate requirements into algorithms, define KPIs, and run experiments while leading product discovery through user research and competitive analysis. #J ...

enforcement for financial products across all brands. You will design and ship high-throughput, low-latency services in Go, and collaborate with risk analysts, data scientists and product managers to prevent fraud and losses. The role is based in London, UK, with opportunities to work across DoorDash, Wolt ...

existing offerings, create new products from scratch and drive a growth stream to help advertisers reach customers. You’ll work closely with engineers, designers, data scientists and commercial teams to ship iteratively and experiment with pricing, performance and value. #J-18808-Ljbffr ...

mentor junior annotators in a fast-moving AI-driven environment. The role emphasizes governance, bias mitigation, and rigorous quality standards while coordinating with data scientists, engineers, and product teams. #J-18808-Ljbffr ...

Pleo is hiring an Staff Applied AI Engineer to shape AI-powered product features using its rich spend data. You will work with engineers, data scientists and product teams to move ideas from prototype to production, delivering value to 40,000+ customers. You’ll own evaluation, monitoring and safe ...

Apple Inc. in London seeks a seasoned Data Scientist to reimagine how Apple Pay measures and optimizes marketing. You’ll define the measurement framework, quantify cross‐channel effectiveness, and isolate lift with causal inference methods. You’ll build production‐grade ML pipelines, apply segmentation and propensity models, and translate ...

seeks a mid-level Responsible Gambling/Player Protection Expert to lead research on gambling safety and AI-driven protections. You will collaborate with data scientists, product teams, and regulators to implement best practices and present findings to leadership. The role focuses on developing AI-based tools to detect ...

will build production-grade Python models and work with customer actuarial teams to solve complex modelling problems. You’ll collaborate with engineers, actuaries and data scientists, mentor junior developers, and help raise the team’s quality through best-practice guidance. Equity is part of total compensation. #J-18808-Ljbffr ...

Forward Deployed Engineer to design, develop, and deploy full‐stack AI-driven applications on the C3 AI Platform. You will work directly with customers, data scientists, and engineers to deliver production-ready solutions and proofs-of-technology. You will join frontline projects in UK and European defence, contributing ...

outputs against gold standards, create and review annotation schemas, and drive quality improvements across use cases. You’ll work closely with AI engineers, data scientists, and product teams to ensure accuracy, traceability and governance, while mentoring junior staff and advancing best practices in annotation and QA. #J-18808-Ljbffr ...

Meta seeks an experienced Product Manager to own initiatives tackling scam ads, partnering with engineers, designers, data scientists, and researchers to deliver scalable AI-powered defenses. You will drive the product vision, roadmaps, and milestones across multiple orgs while ensuring rigorous tradeoffs and rapid execution. The role requires deep ...

Recommend team in our London office, focusing on the recommendation platform, rewards, and onboarding experiences for customers worldwide. You will work with engineers, data scientists, and product teams to design scalable systems, APIs, and product experiences that simplify international money transfers and improve our customers’ journey. #J-18808-Ljbffr ...

campus/graduate level to design, develop, test, and deploy AI-enabled solutions for enterprise clients. You will collaborate with AI engineers, product managers, data scientists, and consultants to prototype scalable capabilities integrating Claude and other AI technologies with ServiceNow. This early-career role emphasizes hands-on development, prompt ...

help build and manage security services that detect and mitigate threats across AWS infrastructure. You will join a team of engineers, security experts, and data scientists to deliver scalable solutions that protect customers at cloud scale. You’ll work with Lambda, Kinesis, and DynamoDB, shaping system design for reliability ...

decide, and act within our lead generation platform. You will own agents end-to-end, from understanding workflows to running in production, collaborating with data scientists, and product managers. You will implement safe-to-trust automation with logging, governance, and scalable architecture, using Claude, GLM, and our framework across ...

drive MVP iterations and deliver an AI-based product that enhances ecommerce content. The role requires leading a small team, coordinating with designers and data scientists to ship features rapidly while maintaining high quality. You will oversee technical decisions, foster rapid release cycles, and help scale the platform. ...

responsible gambling and player protection policies. Developing AI-based tools and solutions to detect and mitigate problem gambling behaviors. Collaborating with regulatory bodies, data scientists, and product teams to implement best practices. Presenting findings and recommendations to senior leadership and external stakeholders. Estimated Benefits Health insurance Paid time ...

Depop Limited - Nova is seeking a Senior Data Platform (Enablement) Engineer to architect, build, and scale our data platform. You will empower teams with self-serve capabilities and own data transformation tooling, orchestration, and governance across Databricks, Airflow, dbt, and more. You will collaborate with product data scientists, ML engineers, analytics engineers, and data teams to shape data-as-a-product practices while maintaining data privacy and governance. #J-18808-Ljbffr ...

Great Lakes Insurance in London, UK is seeking a Claims Data Scientist to transform claims data into reliable insights for portfolio oversight and operational improvement. You will design robust data models, ensure data quality, and create KPI reports for internal stakeholders with root-cause analyses. ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software … long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates with engineers, data scientists, and product owners, to deliver products to production. Builds and maintains data pipelines for analytics, model evaluation, and training (includes versioning, compliance ...

Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software Engineers, Product Management and Government business stakeholders across the full lifecycle, from hypothesis through to production deployment. Leveraging our AWS-based infrastructure you will … track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph ...

learning models, natural language processing (NLP), knowledge representation, and reasoning techniques. Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow. Conduct research and experimentation with new AI paradigms and technologies to continuously improve agent performance and capabilities. Collaborate with product managers, data … accuracy, reliability, and scalability. Contribute to the development of internal AI frameworks, tools, and best practices. Job Qualifications Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related quantitative field. Proven experience (3+ years) in designing and implementing AI agents or intelligent systems. Strong ...

Customer Product Analytics team, you'll play a key role in enhancing the customer journey for users across our website and app by delivering data-driven insights and optimising our product experience. Your analytical expertise will help us understand product performance, identify improvement areas, and drive impactful decisions. Working … closely with product managers, UX teams, and data scientists, you’ll translate complex data into actionable insights that shape our global user experience. Want to take on a key role in our London tech hub, helping a talented team create the best product based on data? Then ...

production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future … enabling the next generation of AI-powered products, agents, automation, and personalisation. We’re excited about you because... BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing ...