Latest Machine Learning Engineer cambridge Jobs

Spotlight

Programme Manager (Forward Deployed)

Act as a Programme Manager embedded within a client's technology programme, owning delivery while identifying inefficiencies that can be automated using AI. You'll run programme governance, manage risks and dependencies, and prototype AI workflows to solve real delivery bottlenecks. The role blends hands-on client delivery with innovation to scale solutions through the M-1 platform.

M-1 Intelligence London, United Kingdom £60,000 – £75,000 pa

Remote Permanent

Spotlight

AI Compiler Engineer

Design and develop AI compiler infrastructure targeting specialised hardware platforms, working across compiler pipelines, optimisation passes, and performance-critical software components. Optimise ML workloads and computational graphs for efficient execution on next-generation AI and edge computing systems. Contribute to compiler technologies using LLVM/MLIR and closely integrated hardware-software stacks.

IC Resources Bristol, Eng, United Kingdom £80,000 pa

Hybrid Permanent

Senior Machine Learning Engineer

Senior Machine Learning Engineer | Cambridge / Hybrid | £80,000–£120,000 + BonusJoin a fast-growing FinTech/InsurTech company in Cambridge that is transforming how financial and insurance products are built using machine learning and data-driven decision-making.Their platform leverages advanced ML models to...

Platform Recruitment Cambridge, United Kingdom

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.

Platform Recruitment Cambridge, Cambridgeshire, United Kingdom £85,000 – £160,000 pa

On-site Permanent

AI Engineer

This role involves leading the technical delivery of AI, Machine Learning, and Algorithmic solutions for complex Defence and Security projects. You will work with multidisciplinary teams, provide technical oversight, engage with customers, and contribute to business development and technical standards.

Meritus Cambridge, Cambridgeshire, United Kingdom £50,000 – £90,000 pa

Machine Learning Research Engineer

This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal...

Luminance Cambridge, United Kingdom

Hybrid Permanent

Foundation Model Engineer

Design and implement end-to-end LLM training pipelines, fine-tune open-weight models, and optimise for performance, cost, and scalability. Develop evaluation frameworks and data workflows while experimenting with modern AI tooling. Work across the full AI lifecycle in a mission-driven environment focused on responsible AI development.

Pure Resourcing Solutions Cambridge, Cambridgeshire, United Kingdom £90,000 – £110,000 pa

Head of Programme Management

This role involves leading the OKR-driven operating model, coordinating cross-functional delivery of an ambitious AI/ML-based product roadmap, and managing a team of project managers. The Head of Programme Management will work closely with senior leadership, ensuring alignment and disciplined execution across technical and non-technical teams.

Walker Cole International Cb10An, United Kingdom £100,000 – £120,000 pa

On-site Permanent

Machine Learning Researcher

Conducts machine learning research to advance Darktrace's AI-driven cybersecurity platform, prototyping new models and integrating them into production systems. Works across research, engineering, and security teams to solve novel problems using language models, neural networks, and statistical methods. Focuses on developing optimised, deployable ML solutions for diverse environments including edge devices.

Darktrace Cambridge, CB2 3BJ, United Kingdom

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Work across the full ML lifecycle, from scalable architecture design to operationalisation, using cloud platforms and containerisation tools. Collaborate with cross-functional teams to deliver ethical, reliable AI solutions in real-world environments.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to solve complex physics and engineering challenges using AI. The role involves building scalable, reliable ML data pipelines, working with 3D point-cloud and mesh data, and translating R&D into reusable tools and products. Frequent customer site visits across multiple continents are expected to support on-site solution development and deployment.

PhysicsX England US$150,000 – US$190,000 pa

On-site Permanent Clearance Required

Machine Learning Engineer

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.

ECM Selection Cambridge, Cambridgeshire, United Kingdom £40,000 – £70,000 pa

On-site Permanent Clearance Required

Machine Learning Engineer

Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and engineering teams to solve real-world industrial challenges. Focus on building reliable data pipelines, manipulating 3D point-cloud and mesh data, and translating research into production-grade tools. The role involves significant customer collaboration, on-site problem solving, and travel across multiple regions.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote Permanent

Machine Learning Engineer

Design and optimize machine learning models for hardware acceleration on platforms such as GPUs and QPUs, focusing on low-latency distributed systems and simulation. Work independently within an established team to support international clients using cutting-edge technologies. The role involves algorithm development in C++, Python, or Rust, with a strong emphasis on performance and hardware integration.

Hexwired Recruitment Limited London, United Kingdom £80,000 – £120,000 pa

Machine Learning Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. The engineer will lead technical architecture decisions, operationalise models using frameworks like TensorFlow and PyTorch, and develop scalable ML infrastructure. Collaboration with cross-functional teams and direct client engagement are key, with a focus on translating complex AI concepts into real-world solutions.

Faculty London, United Kingdom

Hybrid Permanent

Machine Learning Engineer / ML Engineer - Roleplay Sessions

Build and improve the AI engine powering interactive roleplay training with AI avatars, focusing on real-time performance scoring, feedback generation, and dynamic response logic. Work on applied machine learning models integrated into a product-driven environment, collaborating closely with engineering and product teams to enhance learning-by-doing experiences. The role emphasizes fast iteration and delivering tangible impact through scalable AI systems.

Synthesia London, Europe, United Kingdom

Permanent

Machine Learning Engineer Modelling

Develop advanced mathematical and machine learning models for complex industrial and scientific systems by combining first-principles physics with AI techniques. Work across the full modelling lifecycle using large-scale sensor and operational data to build predictive digital representations of physical processes. Collaborate with a high-calibre team to improve model performance through experimental design and real-world validation.

Newton Colmore Guatemala

Hybrid