Top Machine Learning Jobs in London

The Principal Product Manager will lead the Agentic AI experiences and platform capabilities, collaborating across teams to define product vision and requirements, ensuring operational scalability and customer value.

The Customer Success Manager will onboard and support Portuguese utility accounts, ensuring effective use of digital twin technology and driving long-term partnerships and customer satisfaction.

Design, build, and operate production-grade ML infrastructure for real-time feature serving, low-latency event streaming, and decisioning systems. Collaborate with ML, data, backend, and product teams to translate requirements into reliable, scalable platform capabilities; define reusable engineering patterns; mentor peers and improve engineering ownership.

Translate data-science prototypes into production ML pipelines and APIs. Deploy, monitor, retrain, and test models in production. Collaborate with data scientists, engineers and product teams to integrate ML solutions, implement MLOps best practices, and maintain CI/CD for reliable, scalable model delivery.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

The Executive Partner manages a portfolio of clients, providing expert guidance in Data & Analytics, mentoring executives, and ensuring client value through various engagements. Responsible for retention and growth, the role emphasizes collaboration with internal teams and requires strong executive presence.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Join Depop as a Senior Machine Learning Engineer to design and implement ML pipelines for recommendations, collaborating with teams to enhance product personalization.

Depop seeks a Senior Machine Learning Engineer for the Ranking team to develop and maintain machine learning systems for personalized rankings. Responsibilities include designing training pipelines, collaborating with ML scientists, and optimizing model serving systems.

Lead the development and deployment of scalable AI systems, mentor junior engineers, and collaborate with teams to solve client challenges.

As an AI/ML Software Engineer, you'll develop systems that transform audio and video data into structured insights, focusing on prompt engineering, agent systems, and model optimization.

As the senior ML Engineer, you'll design and launch production LLM systems and workflows for major clients, driving AI adoption in marketing.

Lead a multidisciplinary team in machine learning and visual computing, managing timelines, project delivery, and innovation in game rendering technologies.

Lead the Research team in developing scalable machine learning solutions, mentoring junior engineers, optimizing model training, and collaborating on real-world engineering problems.

Develop machine learning models for real-world physics problems, optimize model performance, implement distributed training, and mentor less experienced colleagues.

Lead the development and operation of production ML systems at scale, providing technical leadership and mentoring for teams. Shape architectural strategies for ML platforms, ensuring compliance and operational excellence in machine learning engineering.

As a Principal Machine Learning Engineer, you'll develop and deploy advanced speech systems, mentor teams, and define technical vision for ML, focusing on innovation and excellence in model management.

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

Develop machine learning systems for Deliveroo's marketplace, focusing on projects like rider pricing and delivery time predictions. Collaborate with cross-functional teams, design ML models, and ensure effective productionization of solutions.

As a Staff Product Manager, you'll lead growth initiatives for the ads and promotions business, collaborating with various teams to optimize ad supply and relevance, build a unified retail media platform, and drive strategic investments based on customer insights.

Manage and design Ebury's global Financial Crime program, ensuring compliance through policy drafting, automation, and strategic business partnerships while providing oversight and reporting to management.

The Manager of Commercial Operations collaborates with sales and finance to devise commercial strategies, manage forecasting, and drive sales efficiency while leveraging AI and data analytics.

The Senior Staff Machine Learning Engineer will develop and scale ML systems for content classification, moderation, and decision-making, ensuring quality and compliance across Spotify's platform.

Work with the ML team on a focused internship project involving on-device ML: optimize computer vision models for mobile, fine-tune and deploy multimodal vision-language models, develop data-centric ML systems, and improve model robustness across real-world edge environments. Receive mentorship and deliver experiments to production-aligned evaluation.

Own and evolve the platform infrastructure for deployed ML and NLP systems: deploy and monitor models via Azure ML and AKS, build orchestration pipelines (Dagster), ensure observability and Responsible AI/GDPR compliance, and support scaling across multi-tenant local authority clients while advising across the organisation.