Latest machine learning engineer Jobs

Spotlight

ML Runtime Engineer (Mid-Level and Senior)

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 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

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

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 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

Machine Learning Engineer

Design and develop advanced AI/ML solutions from concept to deployment within a multidisciplinary R&D team. Focus on prototyping, model training, and applying cutting-edge techniques from research. Work spans diverse real-world applications requiring strong analytical and technical skills.

Hexwired Recruitment Limited Cambridge, Cambridgeshire, United Kingdom £60,000 – £120,000 pa

On-site 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 by iterating on detection, classification, and segmentation for lanes, objects, and traffic infrastructure.

Wayve London, United Kingdom

Hybrid Permanent

Machine Learning Engineer II, Intelligent Talent Acquisition - Lead Generation & Detection Services

This role involves building and scaling AI/ML-powered systems to transform talent acquisition at Amazon, with a focus on developing foundational data platforms and knowledge graphs. You'll work closely with scientists and engineers to deliver machine learning solutions across the full recruitment lifecycle, leveraging deep learning and generative AI. The position emphasizes software development for large-scale systems that support hiring at global scale.

Amazon Edinburgh, Alba / Scotland, United Kingdom

Hybrid 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 on a variety of projects.

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

On-site Permanent

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- World-Leading Prop Trading Fund

This role involves working on the ML platform of a leading prop trading fund, focusing on enhancing research workflows, building and maintaining training and inference infrastructure, and applying various ML techniques to aid decision-making. The team values a strong mathematical foundation and a passion for the latest advancements in ML.

eFinancialCareers London, United Kingdom

On-site Permanent

Lead Machine Learning Engineer

Lead Machine Learning Engineer to define technical direction for complex AI projects, design scalable ML systems, and guide delivery across high-risk, ill-defined environments. Will lead architectural decisions, mentor engineers, develop reusable tools, and act as a technical advisor to clients in regulated sectors. Focus on operationalising models using Python and major cloud platforms with containerised deployment via Docker and Kubernetes.

Faculty AI London, United Kingdom

Hybrid Permanent