Artificial Intelligence Jobs

• Manchester
• £21,805 pa
• Entry level
• Contract

A 3.5-year PhD developing an AI-enabled digital twin framework to support circular retrofit decision-making in ageing public buildings such as schools and healthcare facilities. The research integrates building condition data, asset records, material inventories and lifecycle information to evaluate component condition, estimate remaining service potential and prioritise reuse over replacement, validated through public-building case studies.

• London
• Senior

Own and evolve the architecture, codebase and reliability of a business-critical in-house investment management platform, working directly with portfolio managers and investment teams. Build full-stack Python and React applications and LLM-powered agentic workflows, research assistants and analytical tools combining AI with financial and market data.

React · TypeScript · Git +5

• London
• Hybrid
• Mid-level
• Permanent

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.

ChatGPT · GPU

• 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
• £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

• Cambridge, United States
• Hybrid · 3 days in office
• Lead

Lead the safety assessment strategy for drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments for small molecules and biologics. Partner with machine learning researchers to build predictive toxicology models and manage CRO relationships for outsourced wet-lab data generation, while mentoring junior scientists.

KNIME · Python

• 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

• London
• Hybrid
• £255,000 – £325,000 pa
• Lead · manages people

Lead a London-based team building connectivity infrastructure for Claude, including the MCP proxy, OAuth and token management, and official SDKs. The role spans hiring, coaching, roadmap setting with San Francisco partners, and operational rigor for systems that external partners depend on.

MCP · Python · TypeScript +4

• London
• Hybrid
• Senior
• Permanent

Builds data-intensive, AI-powered applications and infrastructure that help operators and investigators detect, triage and review high-severity harm, working across UIs, services and pipelines. Partners closely with Child Safety, Product Policy and Platform Integrity teams, owning systems end-to-end in an ambiguous, fast-moving environment. Involves exposure to sensitive and egregious content.

Spark · Kafka · Flink +3

• Oxford
• On-site
• £40,178 – £48,700 pa
• Entry level
• Contract

Develop and validate machine-learning models on large-scale multimodal NHS clinical data, including electronic health records, genomics, imaging and digital pathology. Build reproducible pipelines within secure data environments and work with clinicians, pathologists and engineers on disease progression and treatment response prediction.

NHS Data · Electronic Health Records · Medical Imaging +3

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

Develops a physics-informed AI framework to design and optimise alternative cooling mechanisms and refrigeration cycles, integrating thermodynamic modelling, machine learning and multi-objective optimisation. Experimental work validates selected combinations, with scope to balance computational and lab effort. Based in the School of Chemical Engineering alongside sustainable cooling and energy storage research centres.

• Exeter
• £21,805 pa
• Entry level
• Contract

Develops and evaluates AI, machine learning and deep learning methods for grading retinal fundus images to detect diabetic retinopathy, glaucoma, cataract and AMD. Works with large datasets including EyePACS, UK Biobank and NHS sources, comparing algorithm accuracy against NHS clinicians and optimising explainable models for clinical trust.

OCTA · CCM · OCT

• 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

• London
• Hybrid
• Senior
• Permanent

Lead large-scale data enrichment and curation for the Core Model Safety team, mining hard and rare events and building workflows across pre/mid-training, reward modelling and self-supervised labelling. Design and train out-of-distribution detection mechanisms for robust driverless operation, working at the intersection of model engineering, infrastructure, compute and data.

PyTorch · CUDA

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people
• Permanent

Lead medicinal chemistry on drug discovery projects from initiation to clinical candidate selection, either as Project Lead or Medicinal Chemistry Lead. Partner closely with ML scientists to refine the AI drug design platform, manage CRO resources, and generate IP. Some roles include line managing 2-4 chemists.

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