Artificial Intelligence Jobs

• United Kingdom
• Remote
• Senior
• Contract · Flexible

Fellows design complex, domain-specific problems and datasets to rigorously evaluate generative AI models, then provide expert interpretation to improve their accuracy and reasoning. They collaborate with partner AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks. Work is project-based within an interdisciplinary network of academics, with flexible 10–40 hour weeks.

Generative AI

• United Kingdom
• Remote
• Senior
• Contract · Flexible

Fellows design domain-specific problems and datasets to evaluate generative AI models, then provide expert insight to improve their accuracy and reasoning. Work is project-based with partnered AI labs, including co-authoring technical reports and research papers with Scale's research team. Fully remote, flexible 10-40 hour weeks within an interdisciplinary network.

Generative AI

• Coventry
• On-site
• £21,805 pa
• Entry level
• Contract

Develops medium-voltage solid-state transformer cells for hyperscale AI data centres and net-zero grids, tackling high-frequency power conversion, compact magnetic links and electrical-thermal degradation under high-dv/dt stress. Combines multi-physics finite-element modelling in ANSYS/COMSOL with experimental validation in a high-voltage power electronics lab, culminating in a scaled hardware prototype.

ANSYS · COMSOL · Solid-State Transformers +2

• London
• Hybrid
• Director
• Permanent

Lead scientific evaluation and applied use of foundation models in drug discovery and translational research. Act as a senior individual contributor and scientific partner, mentoring junior colleagues while working with Product and Business Development to turn biology and ML into customer-facing deliverables as the team scales.

• 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
• Remote
• Director

Serves as strategic business partner and Chief of Staff to the Heads of Pipeline & Project Management and Data Science (EDGE), architecting executive operating rhythms, QBRs and board-level briefings. Leads multi-year workforce planning, capacity modeling, functional budget stewardship and post-deal integrations, while driving process improvement and AI-enabled operational transformation across R&D.

AI · Data Science · SaaS

• 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.