Discover the latest ML Jobs in the UK

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Senior Machine Learning Engineer, AI Performance

This role involves taking machine learning models from training to production deployment, focusing on optimising for real-world constraints like latency and memory. The engineer will collaborate closely with performance and inference teams to deliver efficient, deployable models for autonomous driving systems, using techniques such as quantisation and distillation. The position emphasizes hands-on iteration in PyTorch and cross-functional delivery in a high-ownership environment.

Wayve London, United Kingdom

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Technical Product Manager - Robotaxi

This role involves defining and delivering Level 4 autonomous driving features using embodied AI and end-to-end learning systems. The Technical Product Manager will lead cross-functional teams to translate deep tech innovation into safe, user-centric AV products, aligning technical development with customer needs and regulatory standards. The position emphasizes ownership of the full product lifecycle, from concept to deployment, within a fast-paced, innovation-driven environment.

Wayve United Kingdom

On-site Permanent

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

Act as a technical advisor to academic and research institutions, driving adoption of NVIDIA's AI and accelerated computing technologies. Collaborate on large-scale research projects involving LLMs, deliver training workshops, and translate researcher needs into product feedback. Focus on integrating NVIDIA's full software and hardware stack into cutting-edge AI and HPC workloads.

NVIDIA United Kingdom

Research Scientist, AI RL and LLMs

Conduct cutting-edge research in reinforcement learning and large language models, focusing on advancing general intelligence in AI systems. Collaborate on developing novel models, publish high-impact work, and contribute open-source code to ensure reproducibility. Work within a world-leading AI research team pushing the boundaries of machine learning and intelligent systems.

NVIDIA

Anthropic Fellows Program, AI Safety & Security

This role involves conducting empirical AI safety research over a 4-month fellowship, working on projects such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows receive mentorship from Anthropic researchers, access to compute resources, and produce public outputs like research papers. The program supports remote participation in the UK, US, or Canada, with optional co-location in London or Berkeley.

Anthropic United Kingdom

Hybrid Internship

Associate Director - Lead AI Architect

Lead the design and delivery of production-grade AI and Generative AI systems for high-impact public sector and security programmes. This hands-on technical leadership role involves architecting scalable, secure solutions, building MLOps/LLMOps practices, and mentoring engineering teams. Focus on translating complex challenges into practical, responsible AI systems using cloud platforms and modern tooling.

eFinancialCareers London, United Kingdom £90,000 – £120,000 pa

Senior AI/ML Engineer

Design and build scalable AI systems using large language models and machine learning to power intelligent learning experiences such as personalised tutoring, content generation, and adaptive recommendations. Collaborate with product, data, and learning teams to deliver production-grade AI features while establishing best practices in AI governance and engineering standards. Mentor engineers and help shape the technical direction of the platform’s AI strategy.

eFinancialCareers London, United Kingdom £90,000 – £110,000 pa

Hybrid Permanent

Anthropic Fellows Program

A 4-month, full-time fellowship program offering mentorship and funding for technical talent to conduct empirical AI research aligned with Anthropic’s safety and security priorities. Fellows work on projects in areas like scalable oversight, adversarial robustness, or AI economics, with access to compute resources and a collaborative research environment. The program supports diverse backgrounds and encourages applications from underrepresented groups.

Anthropic United Kingdom

Hybrid Internship

Quantitative Analyst - Research & Analytics

The role involves conducting in-depth quantitative analysis of hedge fund performance, developing and maintaining proprietary analytical frameworks, and building predictive models using alternative datasets and machine learning. The position is fully remote, requiring strong technical skills and the ability to work in a distributed environment.