Latest machine learning Jobs

Machine Learning Scientist

Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge AI research with practical engineering implementation. Work on geometric deep learning, graph neural networks, and diffusion models applied to biological systems. Collaborate closely with engineers to translate research into tools that accelerate scientific discovery in a well-funded life science technology environment.

Platform Recruitment London, United Kingdom £85,000 – £100,000 pa
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Machine Learning Engineer, Compiler

This role involves owning the end-to-end ML compilation pipeline for Wayve's autonomous driving technology, working with NVIDIA TensorRT and Qualcomm QNN. Responsibilities include designing and implementing compiler passes, ensuring accuracy and latency, and collaborating with model and training teams.

Wayve United Kingdom
Faculty AI logo

Principal Machine Learning Engineer

This role involves leading the technical direction of complex AI systems, particularly within financial services, by designing scalable machine learning architectures and providing expert guidance across projects. The Principal Machine Learning Engineer will solve cross-cutting technical challenges, influence company-wide strategy, and ensure robust, innovative solutions are delivered. Emphasis is placed on architectural leadership, hands-on system design, and translating advanced data science into real-world impact.

Faculty AI London, United Kingdom
Hybrid Permanent
PhysicsX logo

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, United Kingdom
Ocado logo

Senior Machine Learning Engineer (E3)

A Senior Machine Learning Engineer in the Smarties team at Ocado will own the full ML lifecycle for production systems powering intelligent features like recommendations, search ranking, and customer personalisation. The role focuses on building scalable, reliable ML infrastructure while improving data quality and enabling product teams to integrate AI capabilities self-serve. Work spans MLOps, model design, experimentation, and cross-functional collaboration within a high-engineering-culture environment.

Ocado United Kingdom
Hybrid Permanent

Principal Machine Learning Engineer

This role involves leading the design and implementation of scalable, high-impact machine learning systems within complex enterprise and government environments, particularly in the defence sector. The Principal Machine Learning Engineer will act as a technical authority, shaping architectural direction, solving cross-project challenges, and mentoring engineering teams. Work includes strategic innovation, system integration, and hands-on technical leadership in ethical, real-world AI applications.

Faculty London, United Kingdom
Hybrid Permanent

Lead Machine Learning Engineer

This role involves leading a team of ML engineers while maintaining hands-on technical contributions to production-grade machine learning systems. The engineer will shape ML best practices, guide solution design, mentor junior staff, and lead cross-functional teams through the full lifecycle of AI/ML projects—from discovery to deployment and continuous improvement. A strong emphasis is placed on technical leadership, code quality, and clear communication with non-technical stakeholders.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa
Hybrid Permanent

Senior Machine Learning Scientist

This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa
Hybrid Permanent

Senior Machine Learning Research Engineer

Develop and scale generative and predictive machine learning models for cellular behaviour using multi-omic biological data. Build robust distributed training and inference systems, bridging ML research and production deployment in close collaboration with scientists. Optimize performance across compute, memory, and I/O while advancing core ML infrastructure in a highly interdisciplinary environment.

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 scalable data systems and microservices, and provide technical leadership while working at the intersection of research and real-world impact. Mentor team members and contribute to research proposals and capability development.

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

AI (Machine Learning)Engineer

This role involves designing, developing, and deploying secure AI and ML solutions for autonomous and mission-critical systems. Responsibilities include building machine learning models, supporting autonomous capabilities with ROS 2, and ensuring adherence to Responsible AI and safety standards.

Akkodis Bristol, Bristol (county), United Kingdom £80,000 – £85,000 pa
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Senior Machine Learning Engineer, AI Performance

This role involves taking machine learning models from training to production deployment, focusing on optimising model performance under strict runtime constraints such as latency, memory, and power. The engineer will apply techniques like quantisation and distillation, work closely with performance and inference teams, and ensure models meet on-vehicle deployment requirements. The position emphasizes hands-on iteration in PyTorch and cross-functional collaboration in a high-ownership environment.

Wayve London, United Kingdom
Hybrid Permanent
PhysicsX logo

Principal Machine Learning Engineer

This role involves deploying and scaling machine learning models for high-fidelity engineering simulations, working directly with customers to integrate AI into production environments. The Principal ML Engineer will lead technical architecture, build robust data and inference pipelines using Python, PyTorch, and Kubeflow, and mentor teams across global customer sites. The position bridges advanced physics-based challenges with practical AI solutions in industries like aerospace, energy, and semiconductors.

PhysicsX United Kingdom
Hybrid Permanent

Senior Machine Learning Engineer

Design and implement scalable, production-grade machine learning systems from concept to deployment, translating research into robust real-world solutions. Own the full ML lifecycle including data, training, deployment, and optimisation within a small, high-performing technical team. Focus on performance, reliability, and low-latency inference using modern ML infrastructure and GPU acceleration.

Hexwired Recruitment Limited United Kingdom £90,000 – £160,000 pa
Remote Permanent

Lead Machine Learning Engineer - Retail

Lead Machine Learning Engineer to define technical direction for AI projects in retail, designing scalable ML systems and mentoring engineering teams. Focus on innovation, architectural integrity, and delivery of reusable solutions across high-impact client engagements.

Faculty London, United Kingdom
On-site Permanent