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 Engineer

This role involves deploying and managing machine learning models in production using Azure Machine Learning, with a focus on building and maintaining MLOps infrastructure and CI/CD pipelines. The engineer will support real-time inference, data pipelines, and scalable ML workloads while collaborating with data scientists and DevOps teams. Responsibilities include monitoring, security, governance, and technical documentation within an Azure cloud environment.

Queen Square Recruitment Wokingham, Berkshire, United Kingdom £460 pd

Machine Learning Engineer, Platform

This role involves building and owning end-to-end machine learning components within a generative AI platform, with a focus on retrieval systems, knowledge representation, and RAG pipelines. The engineer will design and implement systems for knowledge retrieval, vector indexing, and context engines that power enterprise AI agents. Work includes developing evaluation frameworks, integrating with enterprise data sources, and collaborating across ML, product, and infrastructure teams to deliver high-impact AI solutions.

Scale AI London, United Kingdom

Hybrid Permanent

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

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

AI/Machine Learning Consultant

This role involves applying advanced AI, machine learning, and data science techniques to solve complex challenges within UK defence, security, and government sectors. You'll work across the full project lifecycle—from prototyping to deploying scalable, enterprise-grade AI solutions—while collaborating directly with clients and contributing to high-impact national programmes. The role emphasizes innovation in areas like Generative AI and transformer models, alongside mentoring teams and supporting business development in a security-cleared environment.

Experis United Kingdom £45,000 – £75,000 pa

Hybrid Permanent Clearance Required

Senior Machine Learning Applications and Compiler Engineer, LPX

Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, optimizing neural network workloads for future hardware. Collaborate with hardware teams to co-design features and prototype novel compilation techniques. Focus on end-to-end inference optimization using LLVM/MLIR, deep learning frameworks, and performance analysis tools.

NVIDIA Cambridge, 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

Senior Machine Learning Applications and Compiler Engineer, LPX

Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, optimizing neural network workloads on future spatial processors. Collaborate with hardware teams to co-design features and implement end-to-end optimizations across compiler, runtime, and deployment layers. Focus on graph transformations, scheduling, and memory layout for domain-specific AI hardware.

NVIDIA

Hybrid Permanent