Top Machine Learning Jobs in London

The Machine Learning Engineer will develop ML and GenAI solutions, deploy algorithms in production, mentor teams, and drive data strategy initiatives while fostering a collaborative culture in the data science community.

The Senior ML Runtime Engineer will integrate AI acceleration hardware with open source projects, develop high-performance Rust runtime, and collaborate on hardware-software design.

Develop the ML compiler stack for AI acceleration hardware and optimize performance for large language models in a collaborative environment.

Seeking a motivated Senior Weather Analyst/ML Researcher for applied research in weather analysis related to commodities trading. Requires programming expertise and knowledge in atmospheric science.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

As a Lead Machine Learning Engineer, you will set technical direction for ML projects, design scalable systems, mentor engineers, and drive innovation. You'll ensure successful project outcomes while balancing trade-offs and guiding team priorities.

The ML Data Engineer will design and manage data pipelines for large-scale unstructured data, primarily images, ensuring efficient ingestion and preprocessing while collaborating with ML engineers for model training.

The role involves developing and optimizing AI models, conducting research, and innovating new features for generative AI tools, enhancing creative user experiences.

The Senior Software Engineer will develop scalable backend systems and AI features using Python and LLMs, driving technical standards and mentorship.

As a Senior ML Researcher at JetBrains, you will train LLMs for software engineering agents, design experiments, and mentor junior colleagues.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

The Senior Machine Learning Engineer will develop production-ready trading models, design tooling and frameworks, and optimize performance using Python and modern ML libraries.

The Machine Learning Scientist will develop state-of-the-art models for personalized recommendations, collaborate with teams, conduct experiments, and stay updated with ML advancements.

As the ML Platform Tech Lead, you will develop AI infrastructure, mentor engineers, manage project lifecycles, and collaborate with research and engineering teams.

As a Machine Learning Engineer, you will deploy AI/ML systems, translate client needs into solutions, and engage with users to provide support and improvements.

The Staff Software Engineer - AI/ML will lead development of AI solutions, manage AI/ML teams, and optimize model performance and data pipelines.

Seeking a Senior Data Science Engineer to build and deploy scalable ML systems, collaborating with teams to develop models for customer insights and personalization.

Lead end-to-end ML initiatives: integrate and fine-tune models, optimize GPU inference for latency and throughput, build evaluation and monitoring tooling, collaborate on scalable serving systems, and mentor engineers.

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.