Discover the latest AI Engineer jobs within the UK AI industry

Full-Stack Engineer (Backend Leaning)

Build and maintain scalable backend systems powering AI voice and creative tools used by millions. Work across platform, product, and infrastructure to integrate cutting-edge AI models, improve developer APIs, and strengthen cloud-native systems. Collaborate with frontend, growth, and sales teams to deliver intuitive, secure, and high-performance solutions.

ElevenLabs United Kingdom

Remote Permanent

Full-Stack Engineer (Front-End Leaning)

Build and maintain front-end and back-end components for AI-powered voice, creative, and developer platforms used by millions. Work with lean, autonomous teams to deliver end-to-end features, improve UX, and integrate cutting-edge AI models. Collaborate across engineering, growth, and sales to solve customer and internal workflow challenges.

ElevenLabs United Kingdom

Remote Permanent

Machine Learning Engineer, Performance Tooling

Build and scale performance tooling for AI systems across cloud and embedded hardware, focusing on profiling, prediction, and optimization of deep learning models. Analyze bottlenecks across the full AI stack—from models to accelerators—and deliver data-driven insights to guide performance decisions. Collaborate with cross-functional teams to establish standards and drive efficiency in model training and inference.

Wayve United Kingdom

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

Relational Foundation Model Engineer, Modern Data Stack

This role involves designing and experimenting with novel Transformer and Graph Neural Network (GNN) architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. The engineer will work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in fraud detection, forecasting, and recommendation systems. Collaboration with researchers and engineers is central, with a focus on pushing beyond traditional single-table AI models.

NVIDIA

Forward Deployed Engineering - Architect

This role involves working closely with customers to build and productionize data and AI solutions using the Databricks platform. Responsibilities include leading architecture and design decisions, implementing end-to-end systems, and guiding strategic big data projects. The role requires strong technical skills in data engineering, cloud ecosystems, and MLOps, with a focus on delivering measurable business impact.

Databricks London, United Kingdom

Hybrid Permanent

Staff Software Engineer - Backend

Design and build high-performance, reliable backend services for a large-scale data and AI platform. Work on distributed systems, cloud storage integration, and reliability improvements as part of a foundational engineering team. Focus on solving complex technical challenges across product and infrastructure layers in a fast-growing environment.

Databricks London, United Kingdom

On-site 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 Forward Deployed Engineer

Lead the technical direction and delivery of complex AI/ML projects for clients in highly regulated sectors, designing scalable systems and mentoring engineering teams. Drive innovation by building reusable solutions and guiding architectural decisions across full-stack AI deployments. Act as a technical coach for both internal teams and external stakeholders in ambiguous, high-risk environments.

Faculty London, United Kingdom

On-site Permanent

AI/ ML Research Consultant

The role involves applying AI and machine learning to real-world problems, ranging from early-stage research to developing deployable solutions. You will work on a variety of projects, including designing and deploying machine learning systems, conducting experiments, and collaborating with clients to deliver high-quality technical outcomes.

Lynx Recruitment Melbourn, Cambridgeshire, United Kingdom £50,000 – £90,000 pa

Software Test Engineer

The role involves software testing, software releases, and customer support for an AI startup. You will work with Python, Bash, Linux, Docker, and AWS, and have the opportunity to develop skills in automation, cloud, and edge technologies in a fast-moving, collaborative environment.

Lynx Recruitment Oxford, Oxfordshire, United Kingdom £40,000 – £50,000 pa

AI Technical Lead

AI Technical LeadMy client is a leading technology organisation on an exciting opportunity for an AI Technical Lead to define the technical strategy and architecture for AI-enabled Fixed Network solutions, leading the delivery of Generative AI, Agentic AI, and network...

Reperio Human Capital Athlone, Westmeath County, Ireland £69,059 – £86,324 pa

Staff Software Engineer, Continuous Integration

This role involves designing and maintaining large-scale continuous integration infrastructure to support rapid, reliable code deployment across multiple cloud environments. The engineer will build intelligent test selection systems, improve CI reliability through flake detection and automation, and enhance developer productivity with scalable tooling. The position operates within a high-impact research and product environment focused on safe and steerable AI systems.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Staff Software Engineer, Infrastructure (Distributed Systems)

This role involves leading the design and implementation of large-scale distributed systems that support AI model training, serving, and security. You'll drive architectural decisions, improve reliability and scalability, and collaborate closely with research and product teams to evolve infrastructure in line with evolving needs. The position emphasizes technical leadership, operational excellence, and mentoring within a high-impact AI research environment.