Top Machine Learning Jobs in London

Design, maintain, and optimize studio IT infrastructure and production pipelines for creative projects. Align UK technical needs with global IT, anticipate and resolve production bottlenecks, manage hardware and server setups, onboard/offboard freelancers, audit production kits, and provide in-engine and build support while collaborating with central IT and external developer/client tech teams.

Own a from-scratch rebuild of Nory's mobile app using React Native and TypeScript, ensuring reliability on low-spec devices and poor connectivity. Set architecture, design system, and migration plan, ship an MVP, integrate AI agents to speed development, and grow the codebase into a platform for cross-functional teams while maintaining high UX and reliability standards.

Join as a founding engineer building AI-powered control systems for industrial robots. Design, build, and deploy software and hardware integrations across perception, robot control, edge deployments, and industrial workflows. Work hands-on in an on-site lab and customer sites, installing and calibrating sensors and welding systems, tuning motion planning, and collaborating with vendors and partners.

Own and design Bazel rules and extensions to scale a multi-language monorepo (Python, C++, Rust, SystemVerilog) for ML, kernel, and simulation workloads. Build reproducible multi-language build pipelines, optimise CI across large compute clusters, define developer build experience, and contribute upstream to Bazel rules.

As a Senior Machine Learning Engineer, you will develop and optimize AI models for specialized hardware, scale systems, and collaborate with cross-functional teams.

Lead and grow a North America power analytics team delivering fundamental market research, trading desk support, and analytic tools. Define strategy, manage analysts, ensure 24/7 coverage for critical windows, develop supply-demand and price forecasts, track generation fleets and fuel markets, build scalable models and dashboards, partner with trading and data engineering, and present actionable analysis to senior stakeholders.

Lead development of enterprise commercial intelligence: build data models (pipeline, forecasting, segmentation), deploy AI/ML for forecasting and churn, create dashboards, establish data governance, partner with senior leaders to drive insight-led decisions and adoption across global teams.

Surgo Health seeks a Senior Product Manager for AI and Data Products to define product strategy, lead product initiatives, and collaborate with cross-functional teams. The role emphasizes building AI-driven solutions in healthcare and requires strong product management skills with a technical background.

As a Research Co-Founder, you'll lead the scientific and machine learning core, architecting systems for biomedical research and managing evidence extraction frameworks.

Lead the full lifecycle of AI development, drive innovation from research to deployment, design scalable AI systems with Python, and overcome complex challenges in real estate.

As a Customer Success Manager, you will oversee the customer lifecycle, engage with customers, and influence product development, leveraging your technical and commercial expertise.

Own the end-to-end ML capability for a child safety product, focusing on ML model design, optimization, and evaluation. The role involves real-time AI implementation and production deployment.

The Global Named Account Manager drives revenue growth through strategic sales to global enterprise brands, managing complex sales cycles and collaborating with key teams.

Design and develop novel machine learning models and training algorithms for drug discovery. Lead and run research projects, implement and scale training/inference frameworks, analyze experiments, and collaborate across disciplines. Mentor and provide technical guidance to other ML researchers and contribute to research direction and presentations.

Join the Data Science team to innovate solutions for data problems, develop forecasting models, and enhance quant strategies using machine learning.

The Director of Compute & Datacenter will lead the design and optimization of on-premise services, ensuring performance, security, and efficiency while managing infrastructure costs and teams.

The Treasury Manager will oversee treasury operations, manage cash flow, implement risk management practices, and lead a high-performing team while aligning strategies with business objectives.

Lead end-to-end client research projects focused on CX: manage project teams, budgets and trackers; design surveys; analyse trend data into actionable insights; present findings; support business development and mentor junior staff.

Ship AI product features combining engineering and ML; build and improve agent workflows; optimize latency, cost, and reliability; track AI research and turn it into product; build self-improving loops that run experiments and learn from feedback.

Lead subscriber growth and health analytics for Disney+ EMEA: generate insights from data, design experiments, develop dashboards and visualisations, communicate clear recommendations to stakeholders, embed self-serve analytics, and collaborate across regional and international teams to inform acquisition, retention and product strategy.

Design and develop image/video diffusion models, perform large-scale model training, maintain data for training, and optimize models for production use.

The Internal Audit Manager enhances audit effectiveness via advanced analytics, delivers data insights on risk, and manages audit-related data projects.

As a Reinforcement Learning Engineer, you will own production trading systems, design reward functions, validate frameworks, and lead RL efforts to drive trading volume safely with real capital.

Lead and grow the creative function for a rebranding initiative at Lendable, overseeing brand direction, team management, and AI adoption in creative workflows.

Lead the Domain Platform Engineering and AI team to rebuild an enterprise data platform, driving innovation, aligning technical roadmaps, and improving engineering practices while fostering a high-performance culture.