Latest machine learning Jobs

Spotlight

ML Runtime Engineer

Design and develop high-performance ML runtime systems for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to optimize inference performance. Build low-level runtime components in Rust and contribute to the full stack of ML inference infrastructure.

Fractile London, United Kingdom

Hybrid Permanent

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle using cloud platforms and containerisation technologies.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers and customers to solve complex physics and engineering challenges using AI. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into deployable tools. Engineers will also travel to customer sites globally to implement solutions on-site, ensuring practical, impactful delivery across industries like aerospace, energy, and semiconductors.

PhysicsX England £150,000 – £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, rapidly prototyping and deploying models into functional hardware systems. The role emphasizes innovation, rapid iteration, 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

This role involves deploying machine learning models and engineering surrogates—such as deep learning on CAE/CFD/FEA data, time-series forecasting, and anomaly detection—into customer production environments. The engineer will work closely with data scientists, simulation engineers, and clients across aerospace, energy, semiconductors, and automotive industries to build scalable, geometry-aware ML systems using 3D point-cloud and mesh data. Key responsibilities include designing robust training and inference pipelines, mentoring junior staff, and traveling to customer sites globally to implement AI-driven simulation solutions on-site.

PhysicsX United Kingdom

On-site 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 Engineer Modelling

Develop advanced mathematical and machine learning models for complex industrial and scientific systems, integrating 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. Operate in a high-autonomy role with direct influence on technology strategy and product direction within a mission-driven deep-tech team.

Newton Colmore Guatemala

Hybrid Permanent

Machine learning Engineer

This role involves building and deploying production-grade machine learning systems for clients across energy, infrastructure, and government sectors. The engineer will work on scalable ML solutions, define best practices for deployment, and collaborate with cross-functional teams to deliver real-world AI impact. Emphasis is placed on operationalising models, cloud infrastructure, and translating technical concepts for non-technical stakeholders.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

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 on a variety of projects.

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

On-site Permanent

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.

Platform Recruitment Oxford, Oxfordshire, United Kingdom £85,000 – £160,000 pa

Machine Learning Engineer - Spiking Neural Networks

Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.

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

Hybrid Permanent Clearance Required

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 algorithm development. Work closely with international clients using cutting-edge simulation and modeling technologies. Operate as a senior individual contributor within an established engineering team.

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

Machine Learning Scientist

This role involves designing and prototyping novel generative machine learning models for protein design, with close collaboration between computational and experimental teams. The scientist will build scalable data pipelines, optimize deep learning models for performance, and iteratively refine models based on wet lab feedback. A strong emphasis is placed on code quality, interdisciplinary collaboration, and translating model outputs into real-world biological functions.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

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Machine Learning Engineer (Closed Loop)

Develop next-generation generative world models and interactive simulation systems to enable closed-loop training and evaluation of autonomous driving agents. Focus on high-efficiency, real-time rollouts with strong physics fidelity and scalability, integrating models into production pipelines to bridge sim-to-real gaps. Work at the intersection of ML research and deployment in a fast-paced, interdisciplinary environment.

Wayve London, United Kingdom

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Machine Learning Engineer (Synthetic Data)

Build and scale next-generation world models to generate high-fidelity synthetic data for autonomous driving systems. Bridge research and engineering by integrating synthetic data into training pipelines, improving realism and throughput. Work on generative architectures like GAIA, diagnose 3D geometry failures, and enable training for vehicles with minimal real-world data.

Wayve London, United Kingdom

Machine Learning Engineer

This role involves deploying and managing machine learning models in production using Azure Machine Learning, with a focus on building and maintaining scalable MLOps infrastructure. The engineer will design CI/CD pipelines for ML artifacts, implement monitoring and security controls, and support real-time inference workloads. Collaboration with data scientists, developers, and architects is key to optimizing model performance and platform reliability.

Queen Square Recruitment Wokingham, Berkshire, United Kingdom £460 pd