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.

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.

Darktrace · Cambridge

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.

Darktrace · London

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.

CrowdStrike · London

Builds and operates an end-to-end validation pipeline for CrowdStrike's Cloud Detections Platform, verifying component, system and application-level features across processing, data and customer-facing layers. Manages CI/CD with Jenkins or GitHub Actions, improves automated test coverage, and diagnoses root causes of production outages in large-scale distributed systems.

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.

eFinancialCareers · London · £150,000 – £180,000 pa

Lead the AI labs for a finance firm's UK office, building Agentic AI solutions from inception to production for investment, sales and marketing departments. Work with AWS, Strands Agents, LangChain and LangGraph on roughly three-month delivery cycles, then hand solutions to departmental tech teams. Also showcase solutions to clients and potentially form partnerships, alongside a manager and two seniors.

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.

Anthropic · London · £325,000 – £390,000 pa

Builds and operates large-scale CI infrastructure supporting thousands of daily builds across multiple cloud providers, including intelligent test selection, merge queue management, and flake detection. Works within the Developer Productivity org to improve reliability and developer velocity across a monorepo.

Anthropic · London · £325,000 – £390,000 pa

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, databases and observability tooling, partnering with research and product teams while mentoring engineers and shaping incident response and on-call practices.

Infused Solutions · London · £65,000 – £75,000 pa

Hands-on full-stack role building brand-new AI-powered products from concept to production within a small, senior engineering team. You'll architect scalable solutions, develop PoCs, prototypes and MVPs, build React UIs and Node.js/Express/Python APIs on Azure, and use AI-assisted development tools to accelerate delivery.

Wayve · London

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works with Python, Airflow/Dagster/Flyte, Ray or Spark and Kubernetes to run hundreds of parallel pipeline steps, batch inference and evaluations reliably at scale.

Thought Machine · Lisbon, Portugal

Owns complex, ambiguous technical challenges end-to-end, shaping long-term platform architecture and company-wide engineering standards. Drives adoption of AI tooling, leads technical interviews, and mentors senior engineers while acting as a link between leadership and engineering teams. Based in the Lisbon office, requiring three days a week onsite.

Thought Machine · London

Owns complex, ambiguous technical challenges end-to-end, shaping long-term architecture and engineering standards across cloud-native banking platforms. Acts as a link between senior leadership and engineering teams, driving systemic change, mentoring senior engineers, and improving production operations. Uses Go/Python and AI tooling to scale developer velocity.

Wayve · London

Owns shared onboard runtime foundations for autonomous vehicles: application frameworks, communication middleware, lifecycle management, health monitoring and observability. Day to day involves C++ development, end-to-end latency and performance profiling across OS scheduling, memory hierarchy and thread synchronisation, plus porting the stack to new operating systems and compute platforms.