Latest Machine Learning Jobs

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

Machine Learning Engineer

Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and engineering teams to solve real-world industrial challenges. Focus on building reliable data pipelines, manipulating 3D point-cloud and mesh data, and translating research into production-grade tools. The role involves significant customer collaboration, on-site problem solving, and travel across multiple regions.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote 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 in complex real-world environments.

Platform Recruitment Oxford, Oxfordshire, United Kingdom £85,000 – £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 in complex real-world environments.

Platform Recruitment Cambridge, Cambridgeshire, United Kingdom £85,000 – £160,000 pa

On-site Permanent

Machine Learning Scientist – Sequence Modelling

Develop and apply advanced machine learning models to DNA and genetic data to uncover associations between genetic variants and diseases. Collaborate with computational and experimental scientists to validate hypotheses and integrate ML into target discovery pipelines. Work on sequence modelling tasks such as variant interpretation, gene discovery, and regulatory mechanism analysis using large-scale genomic datasets.

Relation Therapeutics London, United Kingdom

Permanent

Machine Learning Engineer, Platform

This role involves building and optimizing retrieval and knowledge representation systems for a generative AI platform. The engineer will design RAG pipelines, develop context retrieval systems balancing performance metrics, and create evaluation frameworks to measure retrieval quality and agent effectiveness. Work includes integrating ML components with enterprise data sources and vector databases while collaborating across product and infrastructure teams.

Scale AI London, United Kingdom

Hybrid Permanent

Machine Learning Engineer

Job title: Machine Learning EngineerLocations: Manchester or Haywards Heath (hybrid working)Role overviewMarkerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning...

Vermelo RPO Manchester, United Kingdom

Machine Learning Engineer, Global Public Sector

Design and build reliable, multi-step agentic systems for high-stakes government applications, focusing on AI safety, red-teaming, and model optimization in regulated environments. Develop novel architectures and evaluation frameworks to ensure sovereign AI systems are performant, unbiased, and production-ready at scale.

Scale AI United Kingdom

On-site Permanent Clearance Required

Machine Learning Ops Engineer

This role involves designing, building, and deploying machine learning models in Azure Machine Learning Studio to support actuarial and analytics teams in a pensions and insurance context. The engineer will manage the full MLOps lifecycle, including model monitoring, retraining pipelines, and integration with data workflows using Azure Data Factory and CI/CD practices. A key focus is ensuring model reliability and translating technical outputs into actionable business insights for both technical and non-technical stakeholders.

Proactive Appointments London, United Kingdom £45,000 – £60,000 pa

Remote Permanent

Machine Learning Engineer (Computer Vision)

Design and deploy advanced computer vision models using large-scale image datasets in cloud, edge, and on-premise environments. Work across the full ML lifecycle with significant technical ownership within a small engineering team. Focus on real-world applications involving object detection, tracking, and classification.

Sanderson Bristol, United Kingdom £61,000 pa

Machine Learning Engineer

Design and implement scalable infrastructure to deploy, monitor, and manage machine learning models in production across Azure and GCP. Collaborate with data scientists and engineers to productionise research models, build CI/CD pipelines, and establish MLOps practices. Focus on building robust APIs, model registries, and automated lifecycle management for real-time and batch inference systems.

Method Resourcing County Durham, United Kingdom £60,000 – £70,000 pa

Machine Learning Engineer

This role involves developing and deploying automated machine learning pipelines for insurance risk modelling and pricing. The engineer will tune, refine, and maintain ML models using DevOps and MLOps practices, with a focus on high-quality, production-grade code and test-driven development. The position supports innovation across motor, home, and commercial insurance lines while mentoring junior engineers and promoting data science excellence.

Vermelo RPO M43Aq, M4 3AQ, United Kingdom

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

Lead Machine Learning Engineer

Leads the technical direction and delivery of complex machine learning projects, designing scalable and reliable AI systems while guiding architectural decisions and mentoring engineering teams. Focuses on building reusable solutions and driving innovation within regulated environments across financial services and other sectors. Works closely with clients and stakeholders to translate strategic goals into practical, high-impact AI implementations.

Faculty AI London, United Kingdom

Hybrid Permanent

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