Top Machine Learning Jobs in London

The Staff Machine Learning Engineer builds and scales ML systems for content detection and policy enforcement, collaborating with various teams to ensure safety and compliance in Spotify's user experiences.

The Staff Technical Product Manager will own the product roadmap for Global Defense, design AI products, collaborate with engineers, and understand defense workflows to drive product outcomes.

Lead technical design, build, and operate backend systems powering high-traffic web and data platforms. Serve as a Staff-level technical authority, mentor peers, drive cross-team technical direction, and own operational health, reliability, and reporting pipelines. Transition into people management, directly managing engineers and participating in hiring and performance processes.

The Machine Learning Engineer will design, train, deploy, and evaluate AI models to address public sector challenges, ensuring high-quality data training and evaluating systems.

Lead strategy and growth for Clinisys Ordering solutions across the UK. Define product vision, prioritise AI and data-driven features, drive commercial adoption, influence cross-functional teams, and ensure regulatory and clinical alignment. Use telemetry and customer insight to optimise outcomes and deliver high-impact, market-leading diagnostic informatics.

As an ML Research Engineer, you will develop computational methods and infrastructure to enhance molecular simulations and machine learning force fields for materials discovery.

Lead design and delivery of cloud-based data engineering, analytics and AI solutions. Advise clients, capture requirements, create solution architectures, build data platforms and ETL/ELT pipelines, develop Power BI dashboards, integrate ML/Generative AI, and lead/mentor project teams to deliver scalable, secure data products.

Lead design and scaling of enterprise AI, ML, and cloud data platforms for UK & Ireland. Define AI strategy, architect generative/agentic AI and MLOps solutions, drive multi-cloud implementations (AWS, GCP), partner with cross-functional teams, deliver measurable commercial impact, and advise executive leadership while representing the organisation externally.

Lead product initiatives in Payment Flows to speed and secure settlement using ML and open banking. Define strategy, prioritise problems, run data-led experiments, and collaborate with engineering, data science, product marketing, and customer success to deliver revenue-driving outcomes and excellent merchant experiences.

Lead and develop a team of ML specialists to deliver production ML systems for fraud and financial crime. Set priorities, ensure model lifecycle practices (development, deployment, monitoring, governance), partner with Product, Risk, Engineering and Data, and raise standards for performance, explainability, reproducibility and observability while building an inclusive high-performing team.

Lead end-to-end backend projects for the Customer Operations Platform: design, build, and operate distributed services, integrate AI/ML to automate workflows, collaborate with operations stakeholders, mentor junior engineers, and migrate monolithic Django systems into smaller services to improve reliability and developer experience.

Develop, implement and monitor statistical and machine learning models for commercial lending. Optimize and experiment with model frameworks, source alternative data, present insights to stakeholders, mitigate risks, and apply AI/advanced prompting to automate workflows and drive value.

Deliver and validate statistical logic for a company-wide experimentation platform. Prototype analyses in Python, perform independent QA of platform outputs, investigate discrepancies, automate QA where possible, collaborate with Data Engineering, BI, ML and product teams, and contribute to future statistical and ML initiatives.

Provide first-line technical support for Cameramatics products via phone, email and other channels. Troubleshoot hardware and software issues using diagnostic and remote-support tools, document tickets, escalate to Engineering/Product when needed, contribute knowledge-base articles, support shift rota for a global customer base, and drive improvements by identifying recurring issues.

Join Waymo to enhance AV simulations using deep learning. Collaborate globally, design metrics, train models, and hire diverse engineers.

Lead product strategy and roadmap for AI, data, and integration capabilities across Trade and Channels. Manage full product lifecycle, define data and API requirements, identify AI/ML and automation use cases, ensure scalability and governance, drive cross-functional initiatives, support go-to-market and adoption, and provide executive reporting.

Lead product-led growth for DeepL Translate with an initial focus on media translation. Define high-value use cases, build growth loops, own PQL definition and instrumentation, drive adoption across web, extensions, apps and APIs, coordinate with Sales/Marketing/Pricing, and measure product usage impact on pipeline, revenue and retention.

Design, build, and deploy AI and automation solutions to accelerate clinical trial data workflows. Develop scalable document processing, data extraction, and analytical tools, ensure regulatory and data-quality compliance, and provide technical leadership to drive adoption across scientific teams.

Lead product strategy and execution for Funds Middle Office, driving operating model transformation, platform redesign, data capabilities, and AI deployments. Manage cross-functional programs, mentor Agile teams, translate strategy into delivery plans, engage senior stakeholders and clients, and ensure integration across Trade Matching, Settlement, IBOR, reporting, and compliance.

Lead finance transformation delivering a next-generation AI-enabled EPM, redesign ERP/finance data structures, embed AI across planning and forecasting, own global budget/forecast processes, and lead delivery, governance and stakeholder alignment across Finance, IT, Data and external partners.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

10-week internship developing client-facing solutions, financial research, and technical systems. Tasks include debugging Python, deploying infrastructure, building REST APIs and data pipelines, shipping production-quality code, supporting clients, testing bespoke workflows, and liaising between clients, product, and engineering to drive product enhancements.

The Research Scientist Manager will lead a global team in foundational machine learning research, focusing on advanced algorithms and AI systems, mentoring team members, and participating in the entire research lifecycle including coding and experimentation.

Own strategy and delivery for US personal loans: productionise credit models, build automations for operations, run A/B tests, improve post-origination experience, and leverage LLMs/AI to boost customer service and collections. Collaborate with engineering, data science, credit risk, growth, and operations to drive measurable business outcomes.

As a Principal Consultant, lead engagements in Capital Markets, driving innovation, digital transformation, and improving user experience across multiple financial sectors while collaborating with cross-functional teams.