Latest Machine Learning Engineer Jobs

Senior CFD Engineer - Plasma Specialist

You will develop high-fidelity computational plasma models for semiconductor manufacturing processes such as etching and deposition, working directly with customers on-site to solve niche engineering challenges. You'll integrate simulations with AI workflows using tools like COMSOL and CFD-ACE+, validate models against real-world data, and collaborate with data scientists and ML engineers. The role involves global travel and combines technical leadership with mentoring junior colleagues.

PhysicsX London, United Kingdom

Hybrid Permanent

Principal CFD Engineer

As a Senior CFD Engineer, you will work closely with Data Scientists and Machine Learning Engineers to deliver high-fidelity simulations and address complex engineering challenges. Your role involves building multi-physics models, automating simulation pipelines, and collaborating with customers to integrate AI-driven solutions, while traveling globally to support on-site projects.

PhysicsX United Kingdom

Hybrid Permanent

Platform Engineer

Design and deploy secure, scalable cloud infrastructure for AI and machine learning workflows using AWS and Azure. Enable data scientists and ML engineers through infrastructure-as-code, reusable libraries, and best practices. Work cross-functionally to solve complex technical challenges in life sciences and other sectors.

Faculty London, United Kingdom

Hybrid Permanent

Senior Product Designer - Defence

Lead the design of bespoke, AI-native solutions for high-stakes defence clients, shaping intuitive user interfaces from concept to delivery. Conduct user research, develop wireframes and prototypes, and evolve design systems in collaboration with ML engineers and data scientists. Operate at the strategic level, influencing product direction and driving design excellence across the organisation.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

Senior Computer Vision Engineer - Deep Learning

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £70,000 – £95,000 pa

Hybrid Permanent Clearance Required

ML Research Engineer, London

Develop and optimise cutting-edge AI models at the intersection of machine learning and drug discovery, translating research into scalable, production-ready systems. Work closely with scientists to build predictive and generative models using advanced deep learning techniques, with a focus on innovation in computational biology and chemistry. Contribute to a collaborative, interdisciplinary team advancing a digital biology platform for transformative medicine development.

Isomorphic Labs London, United Kingdom

On-site Permanent

Senior Software Engineer, Chem-Bio

Design and build core platform systems to support technical research on AI-related chemical and biological risks, translating ambiguous research needs into scalable, maintainable software solutions. Work within a multidisciplinary team to develop LLM-based agent systems, evaluation frameworks, and shared infrastructure while mentoring engineers and shaping technical direction. Operate in a high-impact environment with direct influence on AI policy and global governance.

AI Security Institute London, United Kingdom

On-site Permanent Clearance Required

Full-Stack Software Engineer, Model Development Platform

Design and build full-stack applications that streamline model development workflows for autonomous driving systems, including experiment management, training, and on-road testing. Develop scalable backend services and intuitive web interfaces while mentoring engineers and shaping platform architecture. Work closely with researchers and cross-functional teams to deliver secure, observable, and reliable systems that accelerate AI development in a safety-critical environment.

Wayve United Kingdom

Research Scientist (Biological Models), Chem-Bio

This role involves conducting empirical research into the capabilities of specialised biological AI models, particularly in protein design and genomics, to assess their potential for misuse. The researcher will design experiments to evaluate in-silico predictions against real-world biological outcomes, test the effectiveness of technical safeguards, and translate findings into actionable insights for government and policy stakeholders. Work spans machine learning, computational biology, and biosecurity, requiring close collaboration with wet-lab scientists, AI developers, and security experts.

AI Security Institute London, United Kingdom

Senior Machine Learning Applications and Compiler Engineer, LPX

Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, optimizing neural network workloads for future hardware. Collaborate with hardware teams to co-design features and prototype novel compilation techniques. Focus on end-to-end inference optimization using LLVM/MLIR, deep learning frameworks, and performance analysis tools.

NVIDIA Cambridge, United Kingdom

Hybrid Permanent

Senior Machine Learning Applications and Compiler Engineer, LPX

Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, optimizing neural network workloads on future spatial processors. Collaborate with hardware teams to co-design features and implement end-to-end optimizations across compiler, runtime, and deployment layers. Focus on graph transformations, scheduling, and memory layout for domain-specific AI hardware.

NVIDIA

Hybrid Permanent

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves advancing reinforcement learning in large language models, focusing on developing agentic systems for computer use, code generation, and reasoning. The engineer will build scalable RL infrastructure, design training environments, and collaborate across research and engineering to implement safety and performance improvements at scale.

Anthropic London, United Kingdom £260,000 – £630,000 pa

Research Engineer, Machine Learning (RL Velocity)

This role involves building and optimizing the machine learning infrastructure that supports Anthropic’s reinforcement learning research. You'll work closely with researchers to improve training efficiency, debug performance bottlenecks, and develop tooling that accelerates model development. The position focuses on high-leverage platform improvements that scale across the entire research team.

Anthropic London, United Kingdom £370,000 – £630,000 pa

Machine Learning Scientist

This role involves designing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. The scientist will build and evaluate models, collaborate across interdisciplinary teams, and iterate based on wet lab feedback. A significant emphasis is placed on high-performance code, scalable data pipelines, and staying current with advances in ML and synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Machine Learning Scientist

Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge AI research with practical engineering implementation. Work on geometric deep learning, graph neural networks, and diffusion models applied to biological systems. Collaborate closely with engineers to translate research into tools that accelerate scientific discovery in a well-funded life science technology environment.

Platform Recruitment London, United Kingdom £85,000 – £100,000 pa