Artificial Intelligence Jobs

• London
• Hybrid
• Lead · manages people
• Permanent

Set technical direction for complex AI/ML projects, leading delivery of large-scale platforms in high-risk national security environments. Define roadmaps across multiple workstreams, justify architectural decisions to senior stakeholders, and coach engineers while building shared deployment and CI/CD infrastructure. Requires DV eligibility and occasional on-site client work.

Kubernetes · TensorFlow · PyTorch +1

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade machine learning systems for clients across pharma, healthcare and other sectors. Work spans architectural decisions, scalable infrastructure, MLOps standards and mentoring junior engineers, with a strong client-facing advisory element. Requires deep Python, TensorFlow or PyTorch, and cloud plus Docker/Kubernetes experience.

TensorFlow · PyTorch · AWS +5

• London
• Hybrid
• Senior

Develops production-grade ML models and pipelines for physics simulation, working with research scientists and simulation engineers. Involves scaling training and inference across multi-GPU/multi-node systems, optimising from job scheduling down to CUDA/Triton/Warp kernels, and building cloud infrastructure on CoreWeave and AWS.

AWS · Azure · GCP +7

• London
• Hybrid
• Senior
• Permanent

Develop next-generation generative world models and planners such as GAIA, simulating complex driving environments for faster training and scalable deployment. Work spans diffusion and transformer architectures, latent compression, context pruning and inference-latency optimisation, with closed-loop agent interaction and sim-to-real evaluation. The role combines ML research, multi-modal modelling and production deployment, including mentoring and publishing.

PyTorch · GAIA

• London
• Hybrid
• Mid-level
• Permanent

Builds ground-truth datasets and computer vision classifiers that describe complex driving scenes across Wayve's data corpus, drawing on the World Foundation Model to surface rare scenarios and performance gaps. Day to day spans defining annotation tasks and quality criteria, curating datasets, training and evaluating models in PyTorch, and integrating classifiers into enrichment infrastructure for corpus-wide inference.

PyTorch · SQL

• London
• Hybrid · 3 days in office
• Lead

Design and evolve a large-scale ML infrastructure platform that supports distributed training and inference workloads, working closely with research, engineering and product teams. The role also explores deploying agents to improve platform robustness and reliability, in a hybrid London setup requiring three office days a week.

Kubernetes · Google Cloud Platform · GCP

• London
• Hybrid · 3 days in office
• Senior

Join a newly formed LLM Engineering team to architect and own systems bringing large language models into scientific and business processes. Work spans LLM serving stacks, agentic infrastructure, RAG, evaluation frameworks, and fine-tuning, partnering with researchers to translate scientific needs into technical AI specifications.

vLLM · GCP · MCP

• Gateshead
• £25,900 pa
• Junior

Join an educational software support company to help build an AI Agent, working across data preprocessing, exploratory analysis, model fine-tuning and implementation of machine learning algorithms. Collaborate with cross-functional teams to define requirements and deliver scalable solutions while keeping up with the latest AI advancements. Aimed at early-career candidates with no prior experience required.

• South Shields
• £25,900 pa
• Junior

An early-career role building an AI Agent for an educational software support company, covering data preprocessing, exploratory analysis, model fine-tuning and implementing machine learning algorithms. The position works with cross-functional teams to define requirements and deliver scalable solutions, and is aimed at someone new to the industry with no prior experience required.

• London
• Hybrid · 1–2 days in office
• £75,000 – £85,000 pa
• Senior

Owns the infrastructure, deployment and operational excellence of production machine learning systems within a growing AI and data organisation serving the public sector. Builds ML orchestration pipelines with Dagster, Airflow or Prefect, runs Kubernetes and Terraform/Bicep infrastructure, and maintains CI/CD and observability for models and LLM-powered solutions, working closely with data scientists and client-facing teams.

Dagster · Airflow · Prefect +5

• London
• On-site
• £90,000 – £120,000 pa
• Senior
• Permanent

Design and build full-stack AI-powered product features, working across front-end, back-end, AI and infrastructure. Develop and optimise LLM, computer vision and agent-based systems, plus evaluation, prompt engineering and fine-tuning frameworks. High-ownership role shaping product direction and AI strategy in a scaling financial crime prevention start-up.

TypeScript · React · Node.js +1

• Switzerland
• Remote
• Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python skills plus deep knowledge of ML framework internals and CPU/GPU architectures.

JAX · PyTorch · TensorFlow +4

• United Kingdom
• Remote
• Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python, ML framework internals, and CPU/GPU architecture expertise.

JAX · PyTorch · TensorFlow +4

• Cork, Ireland
• Hybrid · 3 days in office
• Senior

Lead the design and deployment of scalable AI solutions, including LLM-powered applications such as enterprise search, document summarisation and conversational AI. Work with RAG architectures, vector databases and MLOps pipelines on Azure OpenAI and related cloud platforms, while mentoring engineers and shaping AI strategy across business units.

Azure OpenAI · Azure ML · Hugging Face +7

• Huddersfield
• Hybrid
• £35,000 – £45,000 pa
• Junior

Supports AWS infrastructure, CI/CD pipelines and automation for software and machine learning workloads, including packaging, versioning and deploying ML models. Works alongside software and AI engineers to keep development, testing and production environments consistent, monitoring pipelines and fixing issues. Suited to an early-career engineer with cloud, scripting and Git foundations and an interest in MLOps.

AWS · GitHub · Git +5