Artificial Intelligence Jobs

OpenAI · London

Builds the production infrastructure behind Codex agents: sandboxed execution environments, orchestration for multi-step tool-using workflows, state and memory systems for long-running tasks, and model rollouts. Works at the intersection of distributed systems, developer tooling and AI, optimising tokens, latency, reliability and cost across a fleet of frontier agents.

OpenAI · London

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.

Wayve · London

Develops and maintains Wayve's Core Simulation system in modern C++ and Python, integrating driving-stack components, simulated robot systems and vehicle-platform capabilities. Initially focused on high-scale open-loop evaluation, the role involves debugging on-road versus simulated behaviour, improving reproducibility, observability and automated testing, and profiling simulator performance across a shared codebase.

Wayve · London

Works at the boundary between onboard software and vehicle hardware, bringing up new vehicle platforms on benches, HiL systems and vehicles, including at international test locations. Builds and maintains vehicle-facing components and shared frameworks in C++, Python or Rust on Linux-based robotic and automotive systems using ROS2, CAN and Automotive Ethernet, with diagnostics, tooling and documentation for long-term supportability.

Faculty · London

Lead the technical direction and delivery of complex AI projects for enterprise clients in financial and professional services, acting as primary technical authority from discovery to production. Balance hands-on full-stack work in Python and TypeScript/React with mentoring a squad of engineers and shaping reusable architecture. Distinct for its client-facing, highly regulated context and emphasis on safe, responsible AI deployment.

Faculty · London

Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing advisory work and mentoring junior engineers. It sits within a cross-functional life sciences team focused on AI for therapy research and commercialisation.

Aveni · United Kingdom

Builds and scales products on top of FinLLM and other LLMs, engineering event-driven microservices, APIs, cloud-native AWS systems and React front-ends that bring AI into real financial workflows. Works closely with product and PhD-level AI specialists, using Node.js, TypeScript, NestJS and AI coding assistants in a remote-first team.

Aveni · United Kingdom

Hands-on full-stack role building and shipping production AI products that integrate LLMs, RAG and agentic workflows into financial services processes. You own features end-to-end across Node.js/TypeScript microservices, React frontends and AWS cloud infrastructure, with a focus on evaluation, observability, reliability and mentoring engineers.

Entrust · London

Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines, and mentors engineers within a squad-based team.

Entrust · Lisbon, Portugal

Builds and operates production ML systems for document classification and extraction, using VLM/LLMs and traditional ML to power identity verification for millions of users. Leads technical design from RFC to deployment, optimises GPU inference, and designs training, evaluation and labelling pipelines. Works in a squad-based team alongside Applied Science, Product and Data Science, mentoring engineers and driving reliability and scalability.

Hyre Ai · London · £50,000 – £60,000 pa

Design and evolve production multi-agent systems using Anthropic, OpenAI and Perplexity models on AWS, extending the company's MCP server with new tools. Build the eval and observability layer with golden datasets, regression suites and LLM-as-judge, own AWS infrastructure (ECS Fargate, Lambda, Step Functions, Bedrock) and guard against prompt injection and PII leakage. Set technical direction and mentor engineers.

NVIDIA · Bristol

Internship on NVIDIA's embedded computing team in Bristol, working with Tegra SoC, DGX Spark and the Jetson Embedded Platform. The role involves building Linux kernel and user-space software, improving the Jetson Developer Kit experience, and accelerating deep learning and neural network technologies for autonomous vehicles, robotics and analytics alongside hardware and software engineers.

Relation Therapeutics · London

Join the Platform Team to design and scale Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services and APIs. You will own CI/CD pipelines, monitoring, backup and disaster recovery, and work closely with Machine Learning and Data Science teams to support their computational needs.

Ncounter · Reading · £120,000 – £140,000 pa

Hands-on engineering leadership role in a technology consultancy serving National Security & Defence, blending people management with technical ownership. You'll lead a multidisciplinary software, platform and DevOps team, define architecture and standards across cloud-native, AI/ML and MLOps platforms, and oversee production delivery into customer environments. Distinct for requiring SC or DV clearance and defence experience while remaining close to the technology.

Ncounter · Reading · £120,000 – £140,000 pa

Hands-on engineering leadership role overseeing a multidisciplinary team of software, platform and DevOps engineers. You'll own technical architecture and standards across cloud-native applications, AI/ML platforms and MLOps, while remaining close to delivery and shaping longer-term technical strategy for National Security and Defence customers.