Latest machine learning Jobs

Machine Learning Engineer, Driving Product

Develop and train end-to-end AI driving models for Level 2 to Level 4 automated driving systems, with ownership across the full lifecycle from data curation to on-road validation. Work on model architecture, training algorithms, and iteration planning to deliver production-grade embodied AI for real-world deployment in vehicles. Collaborate in high-ownership teams to ship intelligent, mapless driving solutions with direct impact on commercial products like Nissan integration and Robotaxi.

Wayve United Kingdom

Machine Learning Engineer, Performance Tooling

Builds performance analysis tools to optimize AI models across the full stack, from compilers to hardware. Measures, predicts, and advises on latency, throughput, and compute efficiency using profiling data. Works cross-functionally with model, runtime, and hardware teams to drive data-informed performance decisions.

Wayve United Kingdom

Machine Learning Engineer

Design and deploy production-grade machine learning systems for high-impact clients in national security and AI safety. Work across the full ML lifecycle, from prototyping to scalable deployment, using cloud infrastructure and modern MLOps practices. Collaborate with cross-functional teams to deliver secure, reliable AI solutions that solve real-world challenges.

Faculty London, United Kingdom

Hybrid Permanent

Machine Learning Scientist – Sequence Modelling

A Machine Learning Scientist will develop and apply advanced sequence modelling techniques to DNA and genetic data to uncover associations between genetic variants and diseases. The role involves building and evaluating ML models for variant interpretation, gene discovery, and regulatory modelling, in close collaboration with computational and experimental scientists. Work is grounded in real-world therapeutic discovery, leveraging both internal and large-scale external genomics datasets.

Relation Therapeutics London, United Kingdom

Permanent

Machine Learning Intern/Co-op (Winter 2027)

As a Machine Learning Intern, you will design, train, and improve cutting-edge AI models, develop novel research ideas, and build training/deployment pipelines. You will work closely with product teams and experienced senior staff, contributing to the development of safe and efficient AI solutions.

Cohere United Kingdom

Remote Internship

Machine Learning Quant Data Scientist Energy Trading - Bonhill Partners

Develop and enhance machine learning-based forecasting models for energy markets, focusing on power and gas. Analyse large, complex datasets from market, weather, and trading sources to identify predictive signals that inform front-office trading decisions. Collaborate with data scientists, quants, and traders in a cross-functional environment.

eFinancialCareers London, United Kingdom

Machine Learning Systems / AI Infrastructure Engineer- Quant / Systematic Trading Firms

Engineer cutting-edge machine learning infrastructure at scale within high-performance quantitative trading environments. Focus spans distributed training, GPU optimisation, low-latency inference, and full-stack ML systems, integrating hardware and software to accelerate research and production deployment. Work closely with researchers to build robust platforms for rapid model iteration and deployment on massive compute estates.

eFinancialCareers London, United Kingdom £250,000 – £700,000 pa

Senior Machine Learning Engineer

Lead the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. Focus on scalable, ethical AI solutions using cloud platforms and modern MLOps practices. Mentor junior engineers and shape engineering standards while working across technical, product, and client teams.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

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

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling globally to co-develop solutions on-site. The engineer will work with 3D data, CAE/CFD/FEA models, and time-series forecasting, translating R&D into robust, reusable tools.

PhysicsX England US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

Staff Machine Learning Software Engineer, Research

This role involves leading machine learning research initiatives in a high-performance computing environment, focusing on scalable AI models for multi-physics simulation in engineering and science. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, mentoring junior staff, and shaping technical strategy. Work spans cloud and on-premise infrastructure with a strong emphasis on MLOps, software engineering best practices, and real-world deployment across advanced industries.

PhysicsX London, United Kingdom

On-site Permanent

Senior Machine Learning Engineer (E3)

This role involves owning the full machine learning lifecycle for production systems that enhance customer experience in online grocery, including personalisation, recommendations, and search ranking. The engineer will work within a cross-functional data science team to build scalable, reusable ML components while championing data quality, MLOps best practices, and platform thinking. A strong focus is placed on system reliability, technical leadership, and collaboration across disciplines.

Ocado United Kingdom

Hybrid Permanent

Lead Machine Learning Engineer

Leads the technical direction of complex AI/ML projects, designing scalable production systems and guiding engineering teams in high-risk environments. Focuses on building robust ML infrastructure, CI/CD pipelines, and deploying AI platforms for government and public sector clients. Provides architectural leadership and mentors engineers while driving innovation in responsible AI.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

Senior Machine Learning Research Engineer

This role involves building and scaling generative and predictive machine learning models for cellular behaviour using multi-omic and interventional biological data. The engineer will implement large neural networks, optimise distributed training and inference pipelines, and collaborate closely with ML scientists and biologists to translate research into production-grade systems. Work focuses on robust infrastructure development, performance optimisation, and integrating cutting-edge ML tooling within an interdisciplinary team.

Relation Therapeutics London, United Kingdom

Permanent

Senior Machine Learning Engineer - National Security (TIRE)

Develop and deploy advanced machine learning and AI solutions for national security challenges in collaboration with cross-disciplinary teams. Lead technical projects, build production-ready systems, and mentor junior staff. Work involves rapid prototyping, deploying scalable models, and translating research into operational capabilities with real-world impact.

The Alan Turing Institute Cheltenham, South West England, United Kingdom £57 – £62 pa

Contract