Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Senior

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. They design and run experiments, analyse model performance, and advise on bringing models to production, working closely with research scientists in a cross-disciplinary team.

JAX · PyTorch · XLA +6

• United Kingdom
• Remote
• Mid-level
• Permanent

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams like Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

dbt · Python · SQL +2

• United Kingdom
• Remote
• Permanent

Sits between enterprise customers and the product, gathering requirements and deciding whether to build bespoke integrations or generalise improvements for all users. Requires strong full-stack skills across APIs, auth and enterprise plumbing like SSO and access control, shipping end-to-end with little direction in a lean, remote-first team.

• London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses covering data prep, evaluation and serving, applying SFT, preference optimisation, RLHF/RLAIF, distillation and verifier-based approaches. Works closely with Research and platform teams, with a roadmap spanning SaaS, VPC and air-gapped deployments.

PyTorch · LLMs · SaaS +1

• London
• Hybrid
• £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. The role spans ML, computational biology, chemistry and biosecurity, with findings shared with AI companies and government. It is an expression of interest for research engineers and scientists at any seniority.

• London
• Hybrid · 3 days in office
• Senior

Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.

AWS · Kubernetes · Slurm +2

• London
• Remote
• Temporary

Four-month, full-time research fellowship in the Economics & Policy workstream, mentored by Anthropic researchers. Fellows design empirical studies on AI's economic effects, labour markets, and cyber/bio offense-defense balance, using external infrastructure like open-source models and public APIs, with the goal of producing a public output such as a paper submission.

Open-Source Models · Public APIs

• Singapore
• Hybrid
• Lead

Join a new Singapore research team building physical foundation models for industrial engineering, translating physics challenges into mathematical formulations and training deep learning models on large datasets. You will own research workstreams, run experiments, and communicate results to customers and at publication venues, with a focus on operator learning, geometric deep learning, or generative models for geometry and spatiotemporal data.

NumPy · SciPy · Pandas +2

• London
• On-site
• £47,500 pa
• Entry level
• Contract

Lead a computational project modelling how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. Develop graph neural networks, transformers and generative AI on large-scale spatial transcriptomics, single-cell and imaging data, in a cross-institutional collaboration with the Wellcome Sanger Institute's Lotfollahi Lab.

PyTorch · JAX · NumPy +1

• London
• On-site
• Entry level
• Permanent

Builds and maintains scalable training and inference pipelines for biological foundation models such as Transformers and SSMs, optimising latency and throughput. Works with researchers and product engineers to turn notebooks into production systems, owning ML infrastructure like data loading, distributed compute and experiment tracking while prototyping post-training methods.

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

Builds and operates large-scale CI infrastructure supporting thousands of daily builds across multiple cloud providers, including intelligent test selection, merge queue management, and incident response automation. Works within the Developer Productivity org on Kubernetes-based test infrastructure, flake detection, and developer tooling for a monorepo.

Buildkite · Jenkins · GitHub Actions +2

• London
• Hybrid
• Mid-level · manages people
• Permanent

Lead and grow a London-based engineering team building real-time safety and oversight systems for AI agents, including the Auto-review permission-boundary model. The role blends hands-on technical work—shaping architecture, reviewing designs, debugging, and coding—with hiring, coaching, and setting the operating cadence. It is highly cross-functional, partnering with alignment researchers, product, security, and infrastructure teams.

OpenAI

• London
• Hybrid
• Senior
• Permanent

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

PyTorch · GAIA · CUDA +1

• London
• Hybrid
• Mid-level
• Permanent

Design, build and operate core components of the Auto-review and Guardian platform, evaluating agent actions in real time to detect harmful behaviour and support safe recovery or escalation. Work spans architecture, implementation, evaluation and operations, partnering closely with alignment researchers, product, security and infrastructure teams to make agent safety a foundational capability.

OpenAI

• Sheffield
• £50,000 – £60,000 pa

Build and deploy AI-powered tools, automations and integrations that solve real business problems, working directly with stakeholders to translate requirements into working solutions. The role spans Python, JavaScript or PHP development, LLM integration and process automation, with a focus on rapid delivery, testing and safe adoption across the business.

AI · Large Language Models