Top Machine Learning Jobs in London

Lead discovery and shape AI product strategy by identifying high-value AI opportunities, creating business cases and roadmaps, mobilising cross-functional teams, validating technical feasibility, and establishing governance to deliver scalable, measurable AI solutions.

Lead design, development and deployment of production-grade ML systems. Architect scalable ML infrastructure, implement best practices, advise clients, mentor engineers, and collaborate cross-functionally to deliver responsible AI solutions.

Lead technical pre-sales for AI and data opportunities across the UK public sector. Shape solution strategies, conduct client workshops, lead bids and procurements, advise on responsible AI adoption, and develop differentiated AI propositions. Provide expertise in generative and agentic AI, machine learning, LLM solutions, data foundations, governance, evaluation, and production adoption. Build senior stakeholder relationships, support demonstrations and proofs of concept, mentor colleagues, and ensure proposed solutions are practical, secure, scalable, ethical, and deliverable.

Build and own pricing data science capabilities, including demand and elasticity models, forecasting, willingness-to-pay models, pricing optimization, experimentation, and causal analysis. Deploy and monitor machine learning systems, establish governed pricing metrics, and partner with Commercial, Finance, and Product to improve margin and revenue. Set analytical standards for pricing decisions and build reusable analytical capabilities.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

The Product Owner (AI) will lead Nevis' AI-driven product development, defining requirements, managing cross-functional teams, and enhancing user experience for financial advisors.

As a Principal Machine Learning Engineer, you will design and develop scalable AI solutions, influencing company strategy and providing authoritative guidance on complex projects in the financial sector.

The software engineer will develop AI tools for sustainability reporting, collaborating on product strategy and ensuring code quality while leveraging LLMs.

Provide technical leadership and architecture for defence-focused edge systems. Translate ambiguous customer problems into deliverable solutions for bids and delivery, ensure supplier assurance, assess hosting/integration options, manage technical risk, produce high-quality bid content, and support mobilisation and governance for consistent delivery.

Drive revenue and strategic partnerships by selling Neural Concept's AI-driven design and simulation platform to engineering-led enterprise customers in the UK and Europe. Leverage engineering background to engage technical stakeholders, identify new business, manage long sales cycles, close large enterprise deals, and strengthen customer relationships.

The Machine Learning Engineer will develop AI systems for optimizing physical technologies, ensure high engineering standards, and push ML research boundaries while collaborating with domain experts.

The VP of Engineering will lead the engineering teams overseeing cloud, platform, data, and application engineering, focusing on execution, reliability, and scalability of Hypervolt's systems while collaborating with hardware and firmware teams.

The Quantitative Researcher will research market anomalies, perform data processing, optimize strategies, and maintain portfolio trading systems.

Lead architecture, design, and production deployment of scalable Generative AI and Machine Learning systems. Develop end-to-end GenAI features and integrate LLMs, optimizing and monitoring them within Anaplan's platform, ensuring high-quality AI solutions for business planning workflows.

The Principal Engineer will lead the design and deployment of AI systems, develop GenAI features, and integrate LLMs, requiring deep ML knowledge and software engineering skills.

Leads global strategic sourcing and procurement for digital technology and Food & Nutrition categories. Manages $125M+ in spend, SaaS and professional services suppliers, sourcing strategies, RFPs, contracts, supplier governance, performance, risk, and cost optimization. Partners with senior stakeholders, Legal, Infosec, sourcing teams, and suppliers to support digital transformation, standardization, automation, and commercial objectives.

Leads European defense business development for autonomous sensing and edge-AI payloads used in military uncrewed aerial systems. Responsibilities include entering European markets, building relationships with Ministries of Defence and aerospace OEMs, sourcing and closing major opportunities, leading capture strategies and proposals, coordinating demonstrations and flight trials, and providing market intelligence to product teams. The role requires deep European defense, UAS, procurement, and technical expertise, frequent travel, and an EU/NATO Secret or equivalent clearance.

Lead the design, development, and verification of high-performance autonomy solutions for the defense industry, involving algorithms, system architecture, and mentoring.

Apply advanced data science, machine learning and Gen-AI to build AI-native products, perform technology due diligence, competitive intelligence, forecasting, and benchmarking. Develop analytics frameworks, KPIs, visualizations, and collaborate with Technology and AI teams to prototype AI/ML solutions and automate market and technology insights for strategic decision-making.

Lead business development and high-impact transformation engagements, advise C-suite on strategy and AI adoption, build client relationships, coach consulting teams, and create thought leadership to grow the practice.

Contract Finance Business Analyst for International Cash and Treasury Management project: capture and validate requirements, map current and target treasury processes and data flows, assess bank feeds and landscape, produce FSDs/user stories, gap analyses, and strategic recommendations; collaborate with solution architects; lead workshops, change management, training, and author test scenarios with traceability.

Lead product delivery for TCA and best-execution/surveillance platform: gather and refine requirements from compliance users and stakeholders, translate regulatory needs into specifications, prioritise initiatives, collaborate with development and data teams on models, participate in UAT and releases, document methodologies, support model calibration and optimisation, and deliver training and product documentation to maximise user adoption.

The Senior Product Manager will set product direction, own the development lifecycle, collaborate with teams, and ensure high-quality outputs. This role requires strong opinions on product quality and customer insights.

Lead a team of product managers to define and execute global AI-driven fraud prevention strategy for New Account Opening. Drive customer discovery, prioritize roadmap, measure portfolio KPIs, partner cross-functionally, analyze ML-driven data, manage product profitability, and support global stakeholders to deliver measurable business outcomes.

Drive new enterprise SaaS business by prospecting, managing, and closing high-value deals. Build territory and account plans, collaborate with Sales Engineering, Marketing, Customer Success and Partners, and sell Conga revenue lifecycle solutions (CPQ, CLM, doc-gen, e-sign). Focus ~90% on new business and consistently exceed quota.