Artificial Intelligence Jobs

• Cambridge
• Hybrid
• Director · manages people

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures on Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

LangGraph · LangChain · Semantic Kernel +7

• Cambridge
• Hybrid
• Director · manages people

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures across Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

LangGraph · LangChain · Semantic Kernel +7

• Cambridge
• Hybrid · 2 days in office
• Senior

Works within Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, providing expert technical direction and mentoring engineers across languages such as Python, JavaScript, Rust and C++. Involves advancing methodology for defending against unknown cyber-attacks, shaping technical strategy, and engaging with executive leadership. Hybrid role with two days a week in the Cambridge office.

Docker · Git · Cloud Computing

• London
• Hybrid · 2 days in office
• Senior

Works within the Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, advancing methodology for defending against unknown cyber-attacks. Provides expert technical direction, mentors engineers across languages like Python, JavaScript, Rust and C++, and engages executive leadership on technical strategy. Requires Docker, cloud, CI/CD and Git proficiency with a strong interest in cyber-security and malware forensics.

Docker · Git · Cloud Computing

• Southampton
• Hybrid · 2–3 days in office
• £65,000 – £75,000 pa
• Senior

Build cloud applications, customer portals, APIs and integrations that turn complex data into useful products, while developing AI capabilities such as document intelligence, semantic search, RAG and intelligent agents. Use tools like Claude Code and Codex, shape architecture and engineering practices, and work directly with users and domain specialists in a hybrid team near Eastleigh.

Azure · PostgreSQL · Claude Code +4

• London
• Hybrid · 3 days in office
• £110,000 – £150,000 pa
• Senior

Builds agentic AI solutions for a UK asset manager's investment, sales and marketing teams, working in a small AI labs team of three senior engineers. Uses Python with AWS Strands Agents, LangChain and LangGraph, delivering solutions on roughly three-month cycles before handing them to departmental tech teams, and occasionally showcasing work to clients.

AWS · AWS Strands Agents · LangChain +7

• London
• Hybrid · 3 days in office
• £110,000 – £140,000 pa
• Senior

You will join a small AI labs team as one of two senior engineers, building Agentic AI solutions for internal investment, sales and marketing departments, taking projects from inception to production in roughly three-month cycles. Work centres on Python, AWS, LangChain and LangGraph, with client demos and potential partnerships, before handing solutions to departmental tech teams.

AWS · AWS Strands Agents · LangChain +7

• United Kingdom
• Remote
• Senior

Builds production-quality C++ components, APIs and integrations for NVIDIA's AI-powered developer-tools ecosystem, connecting native C++ tools to the Genie knowledge service via Python, MCP and REST APIs. Also contributes to agentic workflows, retrieval and ingestion pipelines, evaluation infrastructure and enterprise integrations, mentoring engineers and driving initiatives from exploration to deployment.

MCP · REST APIs · Python +3

• Switzerland
• Remote
• Senior
• Permanent

Builds production-quality C++ components, APIs and integrations for NVIDIA's AI-powered developer-tools ecosystem, connecting native C++ tools to retrieval and agentic services via Python, MCP and REST. Involves systems architecture, concurrency, performance optimisation, mentoring and driving initiatives from exploration to production.

MCP · REST APIs · Python +2

• Southampton
• On-site
• £40,000 – £50,000 pa
• Mid-level

Build and maintain features end-to-end, from UI through APIs, databases and deployment, working across the full stack rather than specialising in one layer. The team takes ownership of features from concept to deployment and actively uses AI-assisted tools like Claude, Copilot and Cursor for coding, testing and documentation.

Claude · GitHub · Copilot +3

• London
• Remote
• £500 – £525 pd
• Senior
• Contract

Builds an Enterprise AI Gateway for a government AI programme, integrating AI models, developer tooling and security controls. Day to day involves production backend services and APIs in Python, TypeScript/Node.js, Java or Go, plus AWS Bedrock, LLM APIs, prompt management, tool calling and agentic workflows, with CI/CD and observability.

AWS · AWS Bedrock · AI Gateways +3

• London
• Hybrid
• Permanent

Builds and optimizes the large-scale compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers work across the stack, profiling training workloads, improving NCCL and collective communication, and creating tooling that makes heterogeneous clusters reliable and usable.

Kubernetes · NCCL · RDMA +3

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, operational automation and capacity management. Works with research, infrastructure and product teams to turn complex operational processes into reusable, scalable platform capabilities, with a focus on reliability, observability and developer experience.

ChatGPT · GPU

• London
• Hybrid
• £325,000 – £390,000 pa
• Senior

Lead and scope multi-month infrastructure projects, making architectural decisions for large-scale distributed systems that train and serve AI models. Work spans Kubernetes clusters, data pipelines, observability and developer tooling, partnering with research and product teams while owning reliability, scalability and security.

Kubernetes · AWS · GCP +6

• London
• Hybrid
• Permanent

Builds reusable Python libraries and platform tooling for multimodal data loading, distributed training, inference, checkpointing and observability, supporting ML teams running models across thousands of GPUs. Partners closely with researchers to turn complex workflows into stable, scalable software, leading projects from discovery to delivery. A software and platform engineering role rather than ML modelling.

PyTorch · TensorFlow · Azure +3