Latest Machine Learning Engineer Jobs

Senior Applied Engineer

Develop and scale AI-driven physical foundation models for engineering simulation, bridging research and production. Translate scientific prototypes into robust, distributed ML systems using high-performance computing and cloud infrastructure. Collaborate closely with researchers, engineers, and customers to solve real-world physics and engineering challenges.

PhysicsX United Kingdom

Hybrid Permanent

Relational Foundation Model Engineer, Modern Data Stack

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...

NVIDIA

Senior Software Test Engineer

A Senior Software Test Engineer will lead quality assurance efforts within a cross-functional team, designing and developing automated test frameworks for web, backend, and mobile products built on microservices and machine learning. The role involves mentoring team members, improving CI/CD pipelines, and championing test culture using tools like Playwright, Cypress, and k6. The engineer works closely with product and engineering to define acceptance criteria and drive quality improvements across the development lifecycle.

Entrust

Lead AI Engineer

This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, collaborate with product teams, and act as a key partner to the Director of AI.

Harnham - Data and Analytics Recruitment London, United Kingdom £85,000 – £95,000 pa

Hybrid Permanent

Research Infrasructure Engineer

This role involves supporting and developing large-scale research computing environments, including HPC, AI, and data-intensive infrastructure. The engineer will work closely with researchers to deliver secure, reliable, and scalable technical solutions, while also contributing to automation, documentation, and user training. The position supports advanced computing platforms in a hybrid working environment.

Tate London City Southampton, United Kingdom £41,000 – £49,000 pa

Hybrid Permanent

Applied AI Engineer

Design and build AI-native applications using LLMs, agentic systems, and multimodal AI technologies across the full stack. Develop intelligent agent workflows with Google's Gemini Enterprise Agent Platform and implement RAG architectures with vector search and long-term memory. Create scalable front-end interfaces with React and Next.js, and robust backends to support AI-powered solutions in a financial sector context.

Tenth Revolution Group London, United Kingdom £150,000 – £190,000 pa

Embedded Systems Engineer - AI innovation

Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible....

SAFRAN ACTUATION SYSTEMS UK LIMITED Llantarnam, Gwent, United Kingdom

[Expression of Interest] Research Engineer / Scientist, Alignment - London

About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers,...

Anthropic London, United Kingdom

Applied AI Engineer, Global Public Sector

Build and deploy end-to-end AI applications for public sector clients, leveraging cutting-edge models and open-source tools. Collaborate with cross-functional teams to create high-quality training datasets and evaluation frameworks. Engage in customer projects with occasional travel, focusing on real-world AI impact at scale.

Scale AI United Kingdom

Hybrid Permanent

Principal AI Developer Technology Engineer

Research and optimize AI workloads for GPU acceleration, focusing on deep learning, machine learning, and HPC algorithms across modern CPU and GPU architectures. Collaborate with experts in academia and industry to analyze and improve performance, while contributing to developer education and future hardware/software design. Publish findings and influence next-generation computing platforms through deep technical optimization and innovation.

NVIDIA Bristol, United Kingdom

Data & AI Engineer

Design and build scalable data pipelines and AI solutions on Snowflake and Azure platforms, supporting analytics and machine learning workloads. Collaborate with technical and non-technical stakeholders to implement best practices in data engineering and drive adoption of generative AI technologies. Work within Agile frameworks to continuously improve data platform performance and support MLOps and governance standards.

Hastings Insurance Services Bexhill-on-Sea, TN39 3JX, United Kingdom

Senior AI Engineer

This role involves leading a two-year R&D project to develop emotionally responsive virtual humans for soft-skills training. Responsibilities include setting technical direction, building AI systems that perceive and respond naturally, and collaborating across multiple disciplines to turn research into a reliable product.

Bodyswaps London, United Kingdom

Hybrid Permanent

Full Stack Software Engineer

Build and scale AI-powered full-stack systems for global clients in regulated industries, collaborating with data scientists and product managers. Take ownership of frontend and backend architecture, turning machine learning outputs into production-ready solutions. Work in a technically rigorous environment focused on responsible AI deployment and long-term maintainability.

Faculty AI London, United Kingdom

Hybrid Permanent

iOS Mobile Software Engineer II

Design and develop iOS SDKs for secure document capture and identity verification, focusing on high-quality image processing, accessibility, and seamless integration into customer applications. Collaborate with cross-functional teams in an agile environment to enhance mobile SDK performance and user experience across multiple platforms.

Entrust London, United Kingdom

Hybrid Permanent

Platform Engineer

This role involves building and maintaining the MLOps and deployment infrastructure that supports data science teams in transitioning machine learning models from exploration to production. The engineer will work across multiple cloud platforms, design containerised microservices architectures, and implement DevSecOps and infrastructure-as-code practices. Collaboration with customer-facing teams ensures platform solutions are scalable, secure, and effectively integrated into client environments.

Faculty AI London, United Kingdom

Hybrid Permanent