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.

Aveni · United Kingdom

Builds production-grade Python services and serverless, event-driven AWS systems that power AI-driven workflows for regulated financial services. Designs policy enforcement, safety guardrails, behavioural monitoring and evaluation frameworks for LLM-based agentic systems, owning features end-to-end and mentoring engineers.

Aveni · United Kingdom

Senior technical co-lead of a product squad, owning architectural decisions, technical risk and engineering quality while remaining hands-on across Node.js or Python backends, event-driven AWS and React. Leads LLM feature development, drives AI coding tool adoption across the SDLC, and mentors engineers in an FCA-regulated fintech context.

Faculty · Remote (UK)

Lead backend and edge/IoT engineering for high-stakes Defence projects, bridging proof-of-concept work and robust production systems. You will mentor a squad of engineers, design complex components, and build CI/CD and containerisation pipelines with Docker and Kubernetes while shipping Python and compiled-language code alongside ML engineers and data scientists.

NVIDIA · Switzerland

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.

NVIDIA · United Kingdom

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.

Entrust · Paris, France

Owns planning, coordination and execution of testing across a cross-functional identity verification product team, covering web, mobile, backend services and ML-powered products. Builds maintainable automated test frameworks and suites, mentors colleagues, and contributes to org-wide quality and tooling initiatives. Combines automation with exploratory testing in a team of nine embedded test engineers.

Entrust · London

Owns test planning, coordination and execution within a cross-functional identity verification product team, covering web, mobile, backend and ML-powered journeys. Builds maintainable automated test frameworks, combines automation with exploratory testing, and mentors colleagues while improving CI/CD pipelines and release feedback loops.

Medtronic · London · £76,800 – £115,200 pa

Designs and builds automated test frameworks for embedded and connected hardware used in operating rooms, covering device software, firmware integrations and hardware-software interaction rather than web or mobile apps. Works with Android AOSP, Linux edge devices and IoT gateways, validating drivers, connectivity, OTA updates and service APIs, and embedding quality gates into CI/CD pipelines alongside hardware, firmware and systems engineers.

Palo Alto Networks · London

Design and build software solving Workload Identity challenges across client and server, from prototyping to production. The role spans networking, security, authorization, SDKs, cloud and Kubernetes, with scope to lead and mentor a close-knit team and shape product direction with stakeholders.

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.

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

Hands-on full stack engineering role guiding a small development team while collaborating with Product and Architecture. You will build and shape delivery standards across C#, .NET, Python, Azure PaaS and React, with an AI edge using GenAI tools and taking experiments to production. Mainly remote with occasional Birmingham office visits.

eFinancialCareers · London · £70,000 – £125,000 pa

Builds and evolves production backend systems in Go for a start-up's agentic development platform, with some work in React and TypeScript. Collaborates closely with Product, Design and other engineers, contributing to design and code reviews while solving complex technical problems. Fully remote within the UK, with a strong emphasis on hands-on engineering and LLM or agentic workflow experience.

CrowdStrike · Germany

Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design and prototyping through production deployment and long-term maintenance. Works fully remotely with analysts as internal customers, choosing your own tech stack across Go, Python, SQL/NoSQL and cloud.

CrowdStrike · Ireland

Builds and operates large-scale distributed data pipelines, storage and presentation layers for the Intelligence team, owning systems from design and prototyping through production operations. Works autonomously with internal analyst customers, choosing the tech stack and maintaining both new and legacy Go and Python services.

Maxwell Bond · London · £150,000 – £175,000 pa

Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.