Artificial Intelligence Jobs

Isomorphic Labs · London

Lead pharmacology and translational biology strategy for large-molecule biologics, designing in vivo efficacy and complex in vitro functional assays and acting as Biology Lead on discovery projects. Coordinate internal workflows and external CROs to drive go/no-go decisions, while feeding pharmacology data back into generative AI design loops with ML and computational biology teams.

Isomorphic Labs · London

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. They design and run experiments, analyse model performance, and advise on bringing models to production, working closely with research scientists in a cross-disciplinary team.

Relation Therapeutics · London

You will partner with Programme and Project Leaders to shape delivery plans and drive an osteoporosis programme through target ID, hit-to-lead, lead optimisation and candidate selection. The role involves orchestrating matrixed wet lab, ML, data science and engineering teams, managing budgets, risks and governance, and coordinating third-party partners such as CROs.

OpenAI · London

Designs, builds and maintains production harm-detection systems using SQL, Python, machine learning and language models, developing signals, classifiers and pipelines on shared engineering platforms. Also owns protection strategy and cross-functional delivery for a harm area or product launch, connecting detection with policy, review, enforcement and measurement, and participates in an on-call rotation.

Relation Therapeutics · London

Lead the platform engineering team owning hybrid on-prem and cloud compute, Kubernetes clusters, MLOps infrastructure and scientific compute environments for machine learning and drug discovery. Set architectural strategy, mature CI/CD and observability, and own platform security and data governance for sensitive patient-derived data, reporting to the VP of Engineering.

University of Bristol · Bristol · £44,746 – £58,225 pa

The postholder will contribute to world-leading AI research and develop and deliver education programmes, including a new undergraduate degree in Computer Science with AI. The School is particularly interested in candidates with strengths in Multi-Modal AI and Computer Vision, and the role involves publishing in top venues and applying for external funding.

Latent Labs · London

Work at the interface between frontier generative models and pharmaceutical/biotech customers, deploying, adapting and fine-tuning models in customer environments. Build production-grade API integrations, model-serving infrastructure and ML data pipelines, while acting as technical point of contact for partners. Combines deep ML research with customer-facing delivery in an interdisciplinary team.

Harnham - Data and Analytics Recruitment · London · £100,000 – £140,000 pa

Build and lead multimodal AI applications spanning text, audio and video, including AI-generated avatars and automated content summarisation, within a growing AI team in a mature data function. The role involves translating business needs into scalable, production-deployed AI products and collaborating with a multidisciplinary team, with technical leadership duties at Lead level.

Michael Page Technology · London · £62,000 – £75,000 pa

A brand new AI Engineer role within a 20-person AI team in the financial sector, designing and deploying production-scale GenAI and machine learning solutions. Day to day involves building scalable AI models, integrating AI into existing systems, analysing large datasets, and collaborating with cross-functional teams and stakeholders. The tech stack centres on Azure services and Python or C#.

Tenth Revolution Group · London · £75,000 – £105,000 pa

Builds and deploys production LLM and Generative AI applications for enterprise clients, including RAG solutions, scalable data pipelines and AI-powered services. Works in a collaborative consultancy team of engineers and architects, applying software engineering best practices to take AI from proof of concept into production, with monitoring and optimisation of live systems.

Data Idols · London · £105,000 – £120,000 pa

Hands-on technical leadership role driving the design, development and deployment of AI, Machine Learning and Generative AI solutions, including LLMs and agentic AI. Partners with business and technology stakeholders to identify high-value use cases, prototype rapidly and take solutions through to production, while shaping the AI technical roadmap and engineering best practices.

McGregor Boyall · London · £115,000 pa

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.

Eclectic Recruitment · Royston · £58,000 – £60,000 pa

Owns AI security initiatives within a Cyber Security and Compliance team, evaluating and integrating AI security tooling and defending against threats like prompt injection, data leakage and model poisoning. Also builds AI-driven detection, vulnerability management and incident response, running threat modelling and adversarial testing of AI systems.

Matchtech · United Kingdom

Designs, develops and verifies FPGA firmware for complex electronic systems on Defence and Security programmes, working in multidisciplinary teams within highly regulated environments. Uses Xilinx, Verilog, SystemVerilog, TCL and UVM, integrating high-speed interfaces such as PCIe, Ethernet and JESD, with MATLAB/Simulink model-driven engineering and DO-254-aligned processes.

Tenth Revolution Group · London · £85,000 – £110,000 pa

Designs and evolves AWS-based data architectures while supporting AI, machine learning and agentic AI initiatives. Drives data governance, observability, quality and lineage standards, acting as a trusted technical advisor to customers and shaping architecture, tooling and best practices across the platform.