Artificial Intelligence Jobs

• London
• Hybrid
• Senior
• Permanent

Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving experience. Own the loop end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.

PyTorch · GAIA · GPU +1

• United Kingdom
• Remote
• Senior

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.

JAX · PyTorch · TensorFlow +4

• London
• Hybrid · 1 day in office
• Senior · manages people
• Permanent

Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.

TypeScript · React · Node

• London
• £18,000 pa
• Entry level
• Contract

Develops an AI-enabled decision-support framework combining building-performance simulation, machine learning, GIS and remote sensing to optimise green roofs and façades for energy, carbon and thermal performance. Primarily computational, with no routine lab or fieldwork, and scope refined with the successful candidate.

GIS

• London
• Hybrid · 3 days in office
• Director · manages people

Lead all externalised drug discovery and preclinical lab operations, building and scaling a global CRO infrastructure for an AI-first drug design platform. Oversee experimental throughput, data QC and turnaround times, embed data-generation-by-design standards with Data Engineering, and manage vendor governance, budgets and a team of CRO Scientific Leads, Operations Managers and Compound Managers.

AlphaFold · Agentic AI

• New York, United States
• Hybrid
• Lead

Lead the ML approach to manufacturing and MRO data, taking models from design through deployment in customer production environments across cloud, on-prem and edge. Work with sparse, drifting sensor and process data, fusing physics simulation with shop-floor measurement, and set uncertainty quantification and validation standards. Mentor engineers and data scientists while travelling to customer sites roughly 3-4 weeks per quarter.

Python · PyTorch · Pandas +3

• London

Builds the LLM access layer for agents on the PhysicsX platform, serving self-hosted open models and routing each task to the model or combination that best fits its constraints. Owns inference engines such as vLLM and SGLang and serving platforms such as KServe, including packaging, deployment, health checks, upgrades and rollback, plus GPU autoscaling, batching, caching and quantisation tuning. Sets technical direction for air-gapped serving and cost, quality and latency-aware routing.

vLLM · SGLang · KServe +5

• London
• Director · manages people

Lead the Technical Standards and Best Practice team, setting strategy and overseeing researchers who turn AISI's research into concrete, actionable guidance for frontier AI developers. The role spans technical engagement with developers, evaluators and standards bodies, plus line management of a growing cross-AISI team. It reports to a Deputy Director and is offered at Level 5 or 6, with exceptional candidates at Level 4.

Inspect

• London
• Hybrid · 3 days in office
• Lead

Technically lead the Platform group, designing, operating and refining cloud infrastructure across research, development and production. Work spans GCP, Kubernetes, Docker, Terraform and Kapitan, plus CI/CD, observability and tooling, partnering with scientists, ML researchers and product teams. Reports to the Director of Engineering in a small, fast-moving team.

GCP · Kubernetes · Docker +7

• Guildford
• £21,805 pa
• Entry level
• Permanent

Develops a computational framework combining computer vision, graphics and machine learning to speed up and improve cinematic camera lens design and simulation. The work covers forward simulation of candidate lens configurations and inverse design of lens architectures against imaging or perceptual objectives, using differentiable rendering and data-driven models. Based at the Vision, Speech and Signal Processing group under Dr Marco Volino and Dr Jean-Yves Guillemaut, with close industry collaboration.

PyTorch · TensorFlow

• United Kingdom
• Remote
• Senior
• Permanent · Flexible

This role involves working closely with government clients and partners to design and deliver AI-driven solutions that address public sector challenges. The Solution Architect will develop technical strategies, lead proof-of-concept initiatives, and translate mission goals into scalable AI implementations using NVIDIA’s hardware and software platforms. A strong focus is placed on hands-on technical guidance, creating educational resources, and advocating for customer needs in product development.

• London

Customer-facing AI engineering role delivering professional services engagements, helping clients build and productionize GenAI applications such as RAG, multi-agent systems and Text2SQL. Involves production rollouts, serving as a trusted technical advisor, and collaborating with product and engineering to shape the roadmap.

Databricks · Apache Spark · HuggingFace +7

• London
• Hybrid · 1 day in office
• £225,000 – £255,000 pa

Join the Beneficial Deployments Life Sciences team to help labs automate experiments end-to-end with Claude, connecting software to robots, instruments and LIMS. You'll prototype and productionise LLM-powered tools, build evals, contribute to the Model Hardware Standard, and scale learnings through cookbooks and docs. The role involves significant travel and acting as an EMEA ambassador for Claude in scientific settings.

Claude · Model Hardware Standard · Liquid Handlers +2

• London
• Hybrid
• US$405,000 – US$485,000 pa
• Senior

Design, build and operate core connectivity infrastructure behind external tool calls, including the MCP proxy and OAuth/token management systems. Own reliability for infrastructure other teams and partners depend on, covering SLOs, on-call, incident response and postmortems, while building enterprise admin controls and permission models and contributing to the MCP standard and its official Python and TypeScript SDKs.

MCP · OAuth · Python +4