Top Machine Learning Jobs in London

Lead iwoca's data science function, developing probabilistic models for lending decisions and embedding AI across the business, while managing team growth and strategic direction.

The Director of Engineering will lead the Simulation Team in London, overseeing technical roadmap, project management, team recruitment, and collaborations with DeepMind for generative model advancements.

As a Senior Machine Learning Scientist, you will identify ML opportunities, design algorithms, conduct analyses, and collaborate with product teams to build effective ML solutions for customer service enhancement.

The Staff AI Product Designer will shape AI capabilities and behavior within user workflows, creating reliable and valuable AI experiences, while also focusing on quality and reliability of AI systems and their integration with human users.

As a Staff Machine Learning Scientist, you will focus on hiring and mentoring staff, raising technical standards, and applying machine learning to improve customer experiences. You'll research algorithms, conduct data analysis, and collaborate with teams to produce ML products.

Lead end-to-end product development for personalization and optimization systems—defining APIs, SDKs, data infrastructure, and AI-driven automation. Partner with engineering, design, research, and go-to-market teams, engage customers to validate solutions, and balance near-term delivery with long-term technical investments to deliver scalable B2B SaaS capabilities.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

Deliver end-to-end data science projects: build and deploy ML/NLP and generative-AI solutions, design scalable data pipelines, integrate cloud services and APIs, implement RAG/vector-search applications, and collaborate with cross-functional teams to produce reusable tools and client-facing products.

As a Senior Research Engineer, you will develop generative video technology, optimizing models and building ML pipelines while collaborating with cross-functional teams.

Drive strategic revenue and transform enterprise client relationships through long-term engagements, navigating challenges and delivering measurable business value.

The role involves designing, implementing, and running experiments to study AI's societal effects, focusing on high-impact risks from frontier AI deployment.

Lead assessment and redesign of backend architecture to improve reliability, scalability, multi-tenancy, and security. Design core abstractions and pipelines with platform/infrastructure teams, set technical direction for scaling to thousands of customers and tens of millions of documents, raise engineering standards, and ship production-grade systems while remaining hands-on.

The Data Science Manager at Wayflyer leads a team of Data Science and ML Engineers, overseeing the ML lifecycle and collaborating on data-driven strategies to support business growth.

As Senior Product Manager, you'll lead the integration of global airline partners, optimize supply metrics, and enhance product specifications for seamless booking automation, focusing on AI solutions and API performance.

The Senior Product Manager leads product implementation, collaborates with cross-functional teams, validates roadmaps, and utilizes AI for product improvements. They guide junior team members and represent the product vision during planning and launch sessions.

Define and execute product strategy for Speechmatics' Voice AI portfolio. Gather market and customer insights, prioritize roadmap, collaborate with engineering and GTM teams, launch and iterate products, and drive Product-Led Growth to accelerate adoption and business impact.

The AI Applications Ops Lead will design and maintain production AI applications, ensuring their reliability and performance across international government agencies while bridging technical insights to officials.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

Lead the Autoplanner team to develop AI systems for logistics, integrating data science models with backend services while mentoring team members and improving processes.

The Data Science Lead will lead a team of data scientists in developing ML systems for logistics, overseeing the entire lifecycle from research to production.

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

As Engineering Manager, you will lead a hands-on team building AI infrastructure, improving developer experience, and supporting ML teams while also contributing to production code.

The Account Executive will drive the full sales cycle for enterprise-level cybersecurity solutions, manage existing accounts, and build relationships with key stakeholders in Central and Eastern Europe.

As Lead Data Scientist, oversee project teams delivering AI solutions, mentor junior team members, and shape technical strategy for financial services clients.

As a Machine Learning Engineer, you will develop software solutions using machine learning, collaborate with clients, and deliver impactful projects working within cross-functional teams.