Latest machine learning scientist Jobs

Senior/Principal Machine Learning Scientist (Generative Modelling)

Develop generative and predictive models of cellular behaviour using multi-omic and perturbation data, with a focus on causal inference and counterfactual prediction. Collaborate closely with experimental teams to iteratively design and validate hypotheses in wet-lab settings. Work in a highly interdisciplinary environment combining machine learning, biology, and engineering to drive novel therapeutic discovery.

Relation Therapeutics London, United Kingdom

On-site Permanent

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems using non-traditional and multi-modal data. Design and train neural networks such as LSTMs, RNNs, and Transformers, bridging research with production deployment. Collaborate with stakeholders to drive data science initiatives from prototype to impact, while mentoring junior team members and shaping technical direction.

Capital One Boultham, Lincolnshire, LN6 7TG, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional and multi-modal data. Work closely with stakeholders to translate R&D into production solutions, using advanced neural networks like LSTMs, RNNs, and Transformers. Operate in a collaborative, innovation-driven environment with strong support for professional growth and technical excellence.

Capital One Loughborough, Leicestershire, LE11 2QG, United Kingdom

Machine Learning Engineer Modelling

Develop advanced mathematical and machine learning models for complex industrial and scientific systems by combining 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. Collaborate with a high-calibre team to improve model performance through experimental design and real-world validation.

Newton Colmore Guatemala

Hybrid

Machine Learning Engineer - Spiking Neural Networks

Develop an engineering-grade spiking neural network (SNN) engine for real-world machine vision applications in high-stakes environments. Translate advanced research into robust, production-ready C++ software, integrating SNNs, CNNs, and Transformers. Work closely with researchers and engineers on synthetic data generation, image analysis, and deployment in defence and security contexts.

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

Machine Learning Fellow - Human Frontier Collective (UK)

This role involves collaborating on high-impact machine learning projects, evaluating and optimizing PyTorch models, and contributing to AI research publications. Fellows work remotely on flexible schedules, engaging with cutting-edge generative AI systems and interdisciplinary experts. The position emphasizes research, model interpretation, and advancing responsible, human-centered AI through technical evaluation and publication.

Scale AI United Kingdom

Remote Contract Flexible

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 England US$150,000 – US$190,000 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

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Machine Learning Engineer (Synthetic Data)

Build and scale next-generation world model architectures to generate high-fidelity synthetic data for autonomous driving systems. Bridge ML research and engineering by optimizing generative models, ensuring training-grade video output, and integrating synthetic data into real-world training pipelines. Work across GPU-scale infrastructure, 3D geometry, and multi-sensor simulation to accelerate development across new vehicle platforms and safety-critical scenarios.

Wayve London, United Kingdom

Machine Learning Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. The engineer will lead technical architecture decisions, operationalise models using frameworks like TensorFlow and PyTorch, and develop scalable ML infrastructure. Collaboration with cross-functional teams and direct client engagement are key, with a focus on translating complex AI concepts into real-world solutions.

Faculty London, United Kingdom

Hybrid Permanent

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

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 Engineer

Lead the development and deployment of cutting-edge, production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, define best practices for ML deployment, and act as a technical advisor while mentoring junior engineers. Work in a cross-functional environment with strong emphasis on ethical, reliable AI and client collaboration.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

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