Artificial Intelligence Jobs

• London
• On-site
• £130,000 – £180,000 pa
• Director · manages people
• Permanent

Lead the entire AI research strategy for a financial crime intelligence business, owning build-versus-buy decisions across LLMs, vision models and agentic systems. Build and manage a team of researchers and ML engineers while staying hands-on with fine-tuning, distillation, evaluation and explainability standards for regulated environments.

LLMs

• London
• Hybrid
• £115,000 pa
• Lead

Hands-on role designing, developing and deploying production-grade Generative AI and Agentic AI solutions within a global technology consultancy's Data & AI practice. Combines Data Science and Machine Learning foundations with modern software engineering, including Python APIs, microservices, RAG architectures, vector databases and MLOps, while influencing solution architecture and working directly with clients on AI transformation projects.

LangGraph · CrewAI · AutoGen +7

• 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

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a London-based team building and operating large-scale multi-cloud, multi-region GPU compute and data infrastructure for training and running ML models. Day to day centres on coaching and hiring engineers, owning roadmap and prioritisation, and guiding Kubernetes scheduling, capacity planning and storage decisions across heterogeneous GPU fleets.

Kubernetes · Kueue · Nvidia Hopper +2

• London
• Hybrid
• Senior · manages people
• Permanent

Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL-based data analysis, spanning simulated and physical test environments. Open at senior IC or manager level, with close collaboration across Product, Safety and Release stakeholders.

Python · SQL

• London
• Remote
• Temporary

A four-month, full-time research fellowship focused on empirical AI safety and security projects, using external infrastructure like open-source models and public APIs. Fellows receive direct mentorship from Anthropic researchers, work toward a public output such as a paper, and join a shared workspace or work remotely.

PyTorch · TensorFlow

• London
• Senior · manages people

Lead and grow Scale AI's enterprise product design team, setting the direction for design across applications used by enterprise and government customers making high-stakes decisions. Own hiring, craft standards, and design execution from problem scoping to delivery, while shaping interaction patterns for human-in-the-loop and agentic AI systems.

AI Agents

• London
• Entry level

New grad engineers own customer-facing work from day one, shipping products, speaking directly with customers and iterating quickly. The Global Public Sector team builds custom AI applications, training data pipelines for national LLMs, evaluation infrastructure, agentic AI tooling and fraud-detection systems, working in Python, TypeScript, React and MongoDB.

Python · TypeScript · React +3

• London
• Hybrid
• £68,284 – £76,244 pa
• Senior
• Permanent

Develops and leads an AI-driven research programme in biomolecular design and molecular interactions, combining structural biology, biophysics and machine learning to model protein–ligand, protein–protein and protein–nucleic acid systems. Teaches computational biology and biomolecular design at undergraduate and postgraduate level, including a new cross-division MRes in AI for Bioscience, within UCL's Research Department of Structural & Molecular Biology.

• 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 · 3 days in office
• Lead

Owns the safety assessment strategy for drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments for small molecules and biologics. Guides development of an AI predictive toxicology platform with ML researchers and manages CRO relationships, as all wet-lab work is outsourced.

AI/ML

• Brentford
• £75,000 – £100,000 pa

Develop an engineering-grade spiking neural network (SNN) engine for real-world machine vision applications in high-stakes environments. Translate advanced research into robust, production-ready C++ software, integrating SNNs, CNNs, and Transformers. Work closely with researchers and engineers on synthetic data generation, image analysis, and deployment in defence and security contexts.

• Manchester
• Hybrid
• £48,337 – £59,390 pa
• Mid-level
• Contract

Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing large biological, chemical and experimental datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML and data-science expertise, training and support to postdocs and students, and contributing to publications and funding bids.

• United States
• Hybrid · 3 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM workflows into production, working in a small innovation team with significant architectural ownership.

Python · React · TypeScript +1

• London
• Remote
• £265,000 – £375,000 pa
• Senior
• Temporary

Paid, fixed-term research residency of six weeks to six months for people transitioning into empirical AI safety work, with a scoped project and direct mentorship from Anthropic researchers. Residents get Claude model and GPU compute access and work on alignment, interpretability, scalable oversight, red-teaming or ML systems alongside research teams.

Kubernetes · LLMs · Claude +1