Top Machine Learning Jobs in London

Lead the development and integration of AI solutions, focusing on advanced modeling, generative AI architecture, and building user interfaces for decision-making tools.

Lead end-to-end product for UK loans onboarding, improving conversion across web and app. Define roadmap, run hypothesis-driven experiments, use Python/SQL for analysis, apply AI to automate workflows, and collaborate with engineering, credit, data science, design and operations to scale origination and ensure regulatory and risk alignment.

Lead a platform team owning shared backend services and frameworks used across engineering. Balance hands-on development, architectural ownership, roadmap delivery, and line management to improve developer experience, service health, and reliability.

Senior client-facing role owning strategic accounts and leading delivery of software, data and AI solutions. Drive technical oversight, stakeholder engagement, account growth, value realisation, and delivery governance while mentoring teams and supporting proposals, commercial performance and continuous improvement.

Lead the Large Enterprise AI Deployment Engineering team across EMEA to drive GenAI use cases into production. Manage customer technical journeys, align engineering and product roadmaps, mentor ADEs, and serve as primary technical escalation and industry thought leader.

Pre-sales solution engineer driving AI Data Cloud adoption: lead technical demos, design and support proofs-of-concept, articulate value to executives and technical teams, and close enterprise deals while collaborating with product and engineering.

Work with account teams and partners to solve complex data problems, demonstrate Snowflake via demos and proofs-of-concept, design solutions, build technical champions, and represent Snowflake at events while collaborating with Product, Engineering, and partners to drive customer success and close deals.

Lead development of network and AI strategy, governance and roadmaps. Identify, prioritise and scale AI use cases for network planning, operations and assurance. Ensure safe, auditable deployments and partner across security, data, procurement and operating companies to deliver measurable network and business outcomes.

Lead enterprise sales for Media & Entertainment in the UK: develop market strategies, engage customers and partners, drive adoption of NVIDIA solutions, create references/case studies, identify emerging use cases, and act as NVIDIA's central ecosystem contact to grow business and partnerships.

Own post-sale customer lifecycle for Portuguese utility accounts: onboard, embed Neara into workflows (vegetation management, clearance analysis, CAPEX), run QBRs, monitor health scores, drive renewals and upsell, and align product roadmap with local market needs.

Serve as the technical AI/ML lead in customer engagements: translate customer needs into robust solution designs, build stakeholder relationships, contribute to proposals and product roadmaps, prototype approaches, and ensure delivered ML systems are operationally valuable.

Build and extend the platform layer: design shared backend services and APIs, improve reliability and correctness, collaborate with product teams to remove platform bottlenecks, mentor engineers, shape architecture and migrations, and write high-quality fullstack code with a backend focus.

Lead market pricing for the UK pet insurance book: develop demand, elasticity, and price-optimisation models, monitor competitors and market trends, make rate recommendations, present findings to stakeholders, support pricing strategy, and line-manage one pricing analyst.

Develop and deploy credit risk and behavioural models for US unsecured loans and credit cards using machine learning. Translate business problems into data questions, run experiments, implement models, monitor performance, and communicate results to stakeholders.

Lead global pricing strategy and modernization for wholesale and specialty insurance, driving analytics, AI/ML integration, pricing model governance, catastrophe and transaction-level pricing support, and talent development to improve underwriting performance and return on capital.

Lead design and delivery of production-grade ML and GenAI solutions on the Databricks platform. Architect end-to-end ML pipelines, optimize training/inference, implement MLOps/LLMOps, build MVPs for sales, influence product roadmap, mentor peers, and present technical content externally.

Lead advanced statistical and machine learning analyses to generate actionable business insights; partner with cross-functional teams to design data-driven solutions; manage large datasets with strong governance; develop and maintain predictive models to forecast trends; communicate findings to stakeholders and stay current on industry technologies.

Lead programme-level project management for an osteoporosis discovery programme, coordinating interdisciplinary internal teams and CROs, translating scientific goals into integrated plans, managing budgets, risks, governance, and resource allocation, and communicating status to leaders and partners to drive timely milestone-based progression through discovery stages.

The EMEA Events Marketing Manager will develop and execute strategic event marketing programmes while overseeing multiple projects, ensuring high-quality attendee experiences, and collaborating with cross-functional teams.

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

Build and maintain production Golang backend services and data pipelines for an AI-driven investment platform. Design APIs, improve performance, reliability, and observability, debug production issues, and collaborate with AI and product teams to ship scalable, low-latency systems.

Lead dna's product strategy, roadmap, and delivery across campaign booking, targeting, measurement, and reporting. Make portfolio trade-offs, drive integrations and scalable data flows, use prototypes and AI to validate decisions, own adoption and commercial outcomes, mentor PMs, and represent the Product Director to stakeholders and executives.

Lead full implementation lifecycle from kickoff to go-live, configure Hook for customers, shape datasets for ML models, run multiple parallel projects to 28-day timelines, query and clean data with SQL, provide technical presales support, and feed product feedback to roadmap.