Latest Machine Learning Engineer 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

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 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

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulation, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using technologies like PyTorch, Kubeflow, and fastAPI. Frequent international travel is required for on-site collaboration.

PhysicsX United Kingdom

Hybrid Permanent

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 Engineer

Job title: Machine Learning EngineerLocations: Manchester or Haywards Heath (hybrid working)Role overviewMarkerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning...

Vermelo RPO Manchester, United Kingdom

Machine Learning Engineer

This role involves developing and deploying automated machine learning pipelines for insurance risk modelling and pricing. The engineer will tune, refine, and maintain ML models using DevOps and MLOps practices, with a focus on high-quality, production-grade code and test-driven development. The position supports innovation across motor, home, and commercial insurance lines while mentoring junior engineers and promoting data science excellence.

Vermelo RPO M43Aq, M4 3AQ, United Kingdom

Hybrid Permanent

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 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 Engineer 1

Design and build privacy-preserving generative AI systems within a regulated insurance context, focusing on secure data handling, model deployment, and integration with research outputs. Work across the full ML lifecycle in a multi-partner environment, translating experimental AI into production-ready, compliant solutions.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £69,350 – £83,386 pa

Hybrid Permanent

Machine Learning Engineer, Platform

This role involves building and optimizing retrieval and knowledge representation systems for a generative AI platform. The engineer will design RAG pipelines, develop context retrieval systems balancing performance metrics, and create evaluation frameworks to measure retrieval quality and agent effectiveness. Work includes integrating ML components with enterprise data sources and vector databases while collaborating across product and infrastructure teams.

Scale AI London, United Kingdom

Hybrid Permanent

Machine Learning Engineer, Global Public Sector

Design and build reliable, multi-step agentic systems for high-stakes government applications, focusing on AI safety, red-teaming, and model optimization in regulated environments. Develop novel architectures and evaluation frameworks to ensure sovereign AI systems are performant, unbiased, and production-ready at scale.

Scale AI United Kingdom

On-site Permanent Clearance Required

Lead Machine Learning Engineer

Leads the technical direction and delivery of complex machine learning projects, designing scalable and reliable AI systems while guiding architectural decisions and mentoring engineering teams. Focuses on building reusable solutions and driving innovation within regulated environments across financial services and other sectors. Works closely with clients and stakeholders to translate strategic goals into practical, high-impact AI implementations.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Machine Learning Engineer (E3)

This role involves owning the full ML lifecycle for production systems that drive personalisation, recommendations, and search ranking in Ocado's e-commerce platform. The engineer will work across data, modelling, and deployment to build scalable, reliable AI features while improving data quality and mentoring others in best practices for MLOps and technical design.

Ocado United Kingdom

Hybrid Permanent