Artificial Intelligence Jobs

University of Cambridge · Cambridge · £33,662 – £46,970 pa

Lead a workstream within the IMPACT-OC European consortium, building a multi-agent AI system for ovarian cancer that spans imaging, genomics, histopathology and clinical records with privacy-preserving federated learning. The role is jointly based in the Department of Radiology and the Early Cancer Institute, combining multimodal AI pipelines, digital twin technology and clinician-facing deployment across eight partner institutions.

Faculty · London

Lead the development of novel safety evaluations quantifying AI risks in high-impact domains such as CBRN and Cyber, executing original technical research from concept to publication. Shape the R&D agenda, contribute to client delivery and red-teaming for frontier labs, and engage externally with the global research community. The role sits in a central R&D team focused on fundamental and applied technical AI safety research.

University of Oxford · Oxford · £21,805 pa

Investigates how the rapid growth of AI can be supported by more sustainable, circular hardware and infrastructure, linking computational performance to the physical materials and equipment required. Develops scenarios for UK AI and data centre growth, mapping hardware requirements to critical raw materials and modelling how lifetime extension, reuse, repair and remanufacture could cut environmental impacts. Based in the Circular Economy and Sustainability Lab, contributing to the Circular Electricals and Electronics Project.

Opus Recruitment Solutions · United Kingdom · £80,000 – £90,000 pa

Designs enterprise-scale AI, data and automation solutions, architecting generative and agentic AI, RAG, vector database and multi-agent systems across OpenAI, Azure OpenAI, Anthropic and Google Gemini. Runs customer discovery and solution-design workshops, creates reference architectures and roadmaps, and supports technical pre-sales, governance and Responsible AI. Remote-first with client site visits.

Wayve · London

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.

University of East Anglia · Norwich · £21,805 pa

A PhD studentship developing multispectral and hyperspectral imaging combined with machine learning to detect and classify marine litter from aerial and drone-based platforms. The researcher will characterise litter material reflectance in the lab, curate imaging datasets, and build models robust to changing illumination and sensor differences, based in the Colour & Imaging Laboratory and working with CEFAS scientists.

University of Surrey · Guildford · £21,805 pa

Develops next-generation federated machine unlearning algorithms that deliver verifiable, robust erasure without harming model performance or participant privacy. Research spans certified unlearning with formal guarantees, robustness to adversarial relearning, federated-specific benchmarks, and scalable unlearning for foundation models, supervised by Dr Pedro Porto Buarque de Gusmao and Dr Frank Guerin.

Harnham - Data and Analytics Recruitment · Nottingham · £60,000 – £80,000 pa

Build and scale an AI-powered enterprise platform, owning end-to-end product development across React, TypeScript, Python, AWS and PostgreSQL. Work spans secure authentication, third-party integrations, event-driven services and collaboration with AI specialists, within a senior, high-accountability engineering team.

Scale AI · United Kingdom

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.

Scale AI · United Kingdom

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.

Harnham - Data and Analytics Recruitment · London · £100,000 – £120,000 pa

Sits within a private equity firm's value creation function, designing and building scalable data platforms and architecture for portfolio companies. Works hands-on with SQL and Python to establish data engineering foundations for analytics and AI-ready environments, while advising C-suite stakeholders across varied data maturity levels and technology stacks.

Signal AI · London

Full-stack engineer owning revenue-critical products end to end, from problem discovery with research, design and product through to production. Day to day involves building UIs and data visualisations, large-scale distributed services, AWS infrastructure and observability, with heavy pair programming and AI-assisted development using tools like Claude Code.

Multiverse · London

Builds AI-powered workflow automation across the GTM stack, from lead research and CRM enrichment to call analysis and personalised outreach, owning builds end to end through deployment and monitoring. Connects tools that don't natively integrate via webhooks, middleware and scripts, and works across Marketing, Sales, CS, Data and Finance on cross-functional automation.

Multiverse · London

Bridges People strategy with hands-on technical product management, building an AI-native People function from the ground up. Owns the vision, strategy and quarterly roadmap for internal People Ops technology, covering core HR systems, integrations, data flows, identity and automation for ~1000 employees. Requires systems thinking and influence across People, Engineering, Security, Compliance, Legal and Analytics.

ElevenLabs · London

Owns safety datasets end-to-end, from collection and labelling to quality control and versioning, and builds evaluation workflows that track model performance in production. Works across data science, ML, AI safety and policy, developing Python/SQL pipelines and managing external labelling contributors. Based in London alongside the AI Safety and Policy teams.