Top Machine Learning Jobs in London

Lead the development of AI infrastructure and ML operations, ensuring compliance and scaling capabilities across Apex Group while collaborating cross-functionally.

Design, develop, and productionise ML models for Ads ranking, bidding, and relevance. Build monitoring/evaluation frameworks, collaborate with product and engineering, and ensure scalable, reliable ML solutions.

Design, build, and scale production-grade ML systems for forecasting, labour planning and operational optimisation; own end-to-end deployment, monitoring, and iteration; measure business impact and partner with Product, Engineering, and Commercial teams.

Lead design and production of autonomous, stateful AI agents and multimodal ML pipelines (RAG, vector search, recommendations). Build observability, time-series forecasting, async APIs, containerized services, and research-to-production workflows while collaborating across product, data, and engineering teams.

The Financial Crime Product Manager will oversee the lifecycle of financial crime tools, manage the engineering backlog, develop product roadmaps, and align them with compliance and business goals.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Contribute to projects, implement research ideas, and run training and evaluation experiments for the Waymo Driver simulation.

As a Senior Machine Learning Scientist at Depop, you'll design and deliver ML solutions for search and ranking, conduct experiments, and collaborate with product and engineering teams.

The Machine Learning Engineer will research algorithms for networking, develop ML infrastructure, maintain documentation, and assist in technical communication.

Build and maintain scalable, modular training libraries and data pipelines for large-scale ML training. Improve engineering quality, observability, and support ML engineers on distributed training, checkpointing, and data preparation for production-scale model training.

Lead technical direction and delivery of complex ML projects: design and operate scalable ML systems, define roadmaps, build reusable libraries, mentor engineers, hire, and advise clients on architecture and estimates to deliver safe, production-grade AI solutions.

Build, deploy and productionise ML systems and infrastructure; design scalable, reusable ML solutions; lead technical scoping and architecture; collaborate with engineers, data scientists and clients; act as technical advisor to stakeholders.

As a Graduate Machine Learning Researcher, you will design, test, and implement machine learning models to enhance predictive analytics for sports betting. The role demands creativity and a solid understanding of Machine Learning principles and core statistics, working closely with a quantitative modeling team.

The Senior Platform Engineer in Machine Learning at Monzo will design, maintain infrastructure for ML models, and work with various cloud technologies.

Design and implement ML and graph-ML solutions to analyze, extract, and generate knowledge from heterogeneous biomedical data. Enrich and reason over a biological knowledge graph using classification, relationship discovery, RAG/LLM techniques, and production-ready models. Collaborate cross-functionally to architect, train, deploy, and monitor scalable ML systems and provide technical leadership on Knowledge Enrichment projects.

Develop data and analytics products using machine learning and MLOps, build scalable language services, and automate testing and deployment in a SaaS environment.

The Senior Machine Learning Engineer will lead the deployment of ML models, design scalable systems, mentor team members, and collaborate with customers to solve engineering challenges.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

Design, research and deliver ranking ML solutions powering personalised feed and search. Build and evaluate models, run large-scale experiments, collaborate with product and engineering, share findings and ML best practices.

Lead design, deployment, and iteration of large-scale ranking models (recommendations and search). Collaborate cross-functionally, manage end-to-end ML lifecycle, drive research and innovation, and mentor team members while delivering measurable product outcomes.

Lead the development and optimization of AI and machine learning models, mentor junior engineers, and enhance AI-driven features for the platform.

Develop and apply machine learning solutions for autonomous driving, collaborating with teams to design, train, and evaluate ML models.

Waymo seeks a summer intern to contribute to projects, implement research ideas, and run training and evaluation experiments in autonomous driving technology.

Conduct applied research in machine learning for autonomous driving, focusing on large deep learning models and their deployment. Collaborate with teams to enhance model performance.