Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Matchtech · Cambridgeshire · £450 – £650 pd

Contract Python developer role focused on building and maintaining software for integration with a defence cloud environment. Day-to-day work spans data and AI, automation and tooling, and DevOps, using Red Hat OpenShift, Quay, HashiCorp Vault, Tekton Pipelines, GitHub, ArgoCD and SonarQube within agile teams. Requires UK Eyes Only clearance eligibility and is based on-site/hybrid in Cambridgeshire.

Darktrace · Cambridge

Partners with developers and product teams to embed quality from the start, designing and maintaining automated test frameworks across API, UI, integration and regression layers. Builds scalable suites into CI/CD pipelines, drives shift-left testing, and contributes to test strategy, code reviews and architecture discussions.

Darktrace · Cambridge

Builds and maintains a macOS codebase in modern C++ and Swift, leading projects from rapid prototyping to structured platform development. Works with cross-functional R&D teams on cyber-threat defence, contributing to code reviews, testing and mentoring, with Docker and cloud environments in the stack.

Adecco · Cambridge

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.

Adecco · Cambridge

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.

Be-IT Resourcing Ltd · United Kingdom · £90,000 – £100,000 pa

Technical leadership role shaping a SaaS product from first design conversation through to production code, moving between hands-on delivery and architectural decision-making. Works across a modern JavaScript/TypeScript stack with daily deployments, championing AI-assisted development where most code is agent generated, and leading a new Scottish engineering chapter.

Carrington Recruitment Solutions · London · £95,000 – £105,000 pa

Hands-on AI solutions engineering role at a City of London professional services firm, designing, building, deploying and supporting practical AI solutions and turning proofs of concept into production. Combines AI platform work (Co-Pilot Studio, Azure AI Foundry, agentic AI, LLMs, NLP) with strong software development in C#/.NET, Python and JavaScript, working directly with senior business stakeholders in a heavily regulated environment.

Cortech Talent Solutions · Glasgow · £45,000 – £65,000 pa

Hands-on full stack role building and maintaining web applications and backend services for a digital platform, working from Python services to customer-facing interfaces. You'll integrate front-end elements with server-side logic, support AI/ML and IoT-dependent systems, and work across the full development lifecycle in a small team where work reaches production quickly.

eFinancialCareers · London · £110,000 – £140,000 pa

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.

NVIDIA · United Kingdom

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.

NVIDIA · Switzerland

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.

Medtronic · London · £95,200 – £142,800 pa

Builds and maintains the internal platform tooling that other engineering teams rely on, spanning Infrastructure as Code with OpenTofu, EKS and Helm, CI/CD automation, and observability with OpenTelemetry. Works across software groups to remove developer productivity gaps and supports AI agentic workflows, with technical mentorship expected. Based in London with two to three days a week in the office.

Carrington Recruitment Solutions · Leeds · £70,000 – £75,000 pa

Hands-on full stack engineering role guiding a small development team while collaborating with Product and Architecture. You'll build and shape delivery standards across C#, .NET, Python, Azure PaaS and React, with an AI-native edge using GenAI tooling and taking experiments through to production.

Spectrum IT Recruitment · Eastleigh · £50,000 – £70,000 pa

Full-stack role building and maintaining features end-to-end, from UI through APIs, databases and deployment, working across frontend, backend, data and web rather than specialising. Developers own features from concept to deployment and use AI-assisted tools such as Claude, Copilot or Cursor daily for coding, testing and documentation.

OpenAI · London

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.