Latest Machine Learning Jobs

Spotlight

Senior AI Engineer

This role involves leading a two-year R&D project to develop emotionally responsive virtual humans for soft-skills training. Responsibilities include setting technical direction, building AI systems that perceive and respond naturally, and collaborating across multiple disciplines to turn research into a reliable product.

Bodyswaps London, United Kingdom

Hybrid Permanent

Spotlight

Solution Architect (Power Platform)

The role involves shaping the adoption of automation, low-code development, and AI across the university by establishing and leading a Power Platform capability. The Solution Architect will define technical standards, guide solution design across applications, data, and integration, and support a community of citizen developers. They will collaborate with stakeholders and enterprise architecture to deliver secure, scalable, and sustainable digital solutions using Microsoft Power Platform technologies.

Loughborough University Loughborough, Leicestershire, United Kingdom £47,389 – £56,535 pa

Hybrid Permanent

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 North Tyneside, NE29 8EP, United Kingdom US$150,000 – US$190,000 pa

On-site Permanent Clearance Required

Machine Learning Software Engineer, Research

Develop and optimize machine learning models for high-fidelity, multi-physics simulation in engineering and scientific domains. Translate research prototypes into scalable, production-grade systems using distributed training and cloud infrastructure. Work across the full ML lifecycle, from foundational model design to deployment, while mentoring team members and collaborating with research scientists on real-world industrial applications.

PhysicsX London, United Kingdom

On-site Permanent

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 Integration Engineer

This role involves integrating and optimizing machine learning models into Darktrace’s cybersecurity platform, focusing on improving runtime, scalability, and effectiveness against unknown threats. You'll work closely with machine learning specialists and security researchers to prototype and deploy innovative AI solutions. The position emphasizes production-quality Python development, model acceleration, and performance optimization across diverse technology stacks.

Darktrace Cambridge, CB2 3BJ, United Kingdom

Hybrid Permanent

Machine Learning Researcher

This role involves developing machine learning algorithms for radio frequency (RF) signal detection and exploitation in electronic warfare contexts, with a focus on real-world defence applications. The researcher will design novel AI-driven solutions for congested electromagnetic environments, publish high-quality research, and contribute to national security through proof-of-concept development. Work is conducted in a hybrid setting with minimal office attendance, supported by a strong professional development framework.

ECM Selection United Kingdom £50,000 – £58,000 pa

Hybrid Contract Clearance Required

Machine Learning Engineer, ADAS

Train and improve computer vision and 3D perception models for ADAS systems, working across the full ML lifecycle from data to deployment. Build scalable data pipelines, including auto-labelling and 3D reconstruction, to enhance model performance. Focus on real-world impact with a balance of online (in-car) and offline (data generation) work in a fast-paced, product-driven environment.

Wayve London, United Kingdom

Hybrid Permanent

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

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

This role involves building and deploying production-grade machine learning systems for diverse clients, translating research into real-world applications. You'll work across the full ML lifecycle, design scalable software architectures, and collaborate with cross-functional teams to deliver impactful AI solutions. The position emphasizes technical leadership, cloud infrastructure, and best practices in ML deployment.

Faculty London, United Kingdom

Hybrid Permanent

Machine Learning Engineer

This role involves designing, building, and deploying advanced machine learning models to solve complex operational challenges in real-world environments. You will work closely with a high-calibre founding team, industrial data, and customer environments to take machine learning systems from early validation through to scalable deployment.

Platform Recruitment London, United Kingdom £60,000 – £70,000 pa

On-site Permanent

Machine Learning Scientist

We’re Aioi R&D Lab – an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future.We’re looking for dynamic,...

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £55,934 – £83,386 pa

Machine Learning Engineer - Spiking Neural Networks

Develop an engineering-grade spiking neural network (SNN) engine for real-world machine vision applications in high-stakes environments. Translate advanced research into robust, production-ready C++ software, integrating SNNs, CNNs, and Transformers. Work closely with researchers and engineers on synthetic data generation, image analysis, and deployment in defence and security contexts.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £75,000 – £100,000 pa

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models, working across the full machine learning lifecycle. You will build production-ready systems, evaluate model performance, and contribute to technical decisions across various projects, collaborating closely with engineers, data scientists, and domain experts.

Platform Recruitment London, United Kingdom £80,000 – £160,000 pa

On-site Permanent

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