Artificial Intelligence Jobs in London

Isomorphic Labs · London

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.

Isomorphic Labs · London

Drive DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments with an AI-first approach. Integrate DMPK, PD and toxicology data to predict human dose and safety windows, and author regulatory documents. Work closely with AI/ML drug design platform teams in a hybrid London setting.

King's College London · London · £45,031 – £52,514 pa

Designs, builds and evaluates AI-enabled evidence synthesis tools and pipelines for the METIUS programme, writing production-quality Python code and onboarding consortium partners. Runs methodological and evaluation studies on the reliability and usability of AI-assisted synthesis methods, publishing the results, and contributes to the Solace-AI project on climate-health emergencies. Works alongside software developers, data scientists and evidence synthesis specialists.

The Francis Crick Institute · London · £47,500 pa

Lead a computational project modelling how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. Develop graph neural networks, transformers and generative AI on large-scale spatial transcriptomics, single-cell and imaging data, in a cross-institutional collaboration with the Wellcome Sanger Institute's Lotfollahi Lab.

Tech Recruitment Specialists Ltd · London · £38,000 – £45,000 pa

Supports the development, optimisation and deployment of AI and machine learning models, working with large datasets for preprocessing and training, and helping monitor AI applications in production. Collaborates with software engineers, product teams and data specialists, contributes to backend development and API integrations, and researches new AI frameworks. Emphasis on responsible, ethical AI with bias mitigation, transparency and fairness.

WeDoTech · London · £120,000 – £160,000 pa

Hands-on technical leadership role building and scaling enterprise Generative AI, LLM and agentic AI systems across multiple engineering teams. Involves designing production-grade RAG and multi-agent solutions, shaping reusable AI frameworks and standards, and ensuring reliability and governance in a regulated financial services environment.

ARIA · London · £120,000 pa

Lead an ARIA-backed £50m testbed building rack-scale AI systems, integrating emerging hardware into working pilots every six months and benchmarking them against commercial alternatives. The role spans programme delivery, partnerships, operating model and long-term backing within the Scaling Compute Programme, working with startups and research groups in an open environment.

Harnham - Data and Analytics Recruitment · London · £100,000 – £130,000 pa

Design, build and operate LLM-powered systems, taking AI products from experimentation to reliable production deployment. Work spans multi-step agent workflows, production-scale RAG, evaluation frameworks and retrieval pipelines, with mentoring duties at Lead level. Python and cloud infrastructure underpin the full development lifecycle.

VIQU IT Recruitment · Belfast · £80,000 – £100,000 pa

Independent assurance voice covering the cloud estate, corporate environment and AI capability, setting security baselines for DevOps, IT and Product Security Engineering and verifying them through continuous monitoring and independent testing. Founding role in a new assurance function at a UK sovereign AI scale-up, spanning ISO 27001, AI control testing and customer-facing work.

Synthesia · London

Own the end-to-end Interactive Avatar API, taking it from closed beta to general availability. Define the developer-facing surface (SDK, integration patterns, docs), real-time experience quality, and the commercial model, working closely with engineering, research, and design partners.

Synthesia · Seattle, United States

First Developer Advocate for an AI video platform's API, responsible for writing tutorials and blog posts, building sample apps and starter kits, and producing video walkthroughs and livestreams. Represents the company at conferences, meetups and hackathons while channelling developer feedback back to Product and Engineering, and growing community channels like Discord and a developer newsletter.

EMBS Engineering · London · £75,000 – £85,000 pa

Lead a team of AI developers while remaining hands-on, building enterprise-grade Generative and Agentic AI applications for a financial services client. Work spans Python and Java services, FastAPI APIs, LLM integrations, RAG architectures and agent-based workflows on AWS Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Also involves setting engineering standards and mentoring within a consultancy team.

Profile 29 · London · £40,000 – £50,000 pa

Supports founders, developers and customer success on a fundraising SaaS platform, splitting time between customer conversations, writing product requirements, testing features and researching AI applications. Runs sprint planning, monitors feedback and performance, and helps shape 3- and 12-month roadmaps while balancing technical debt against new features.

PhysicsX · New York, United States · US$240,000 – US$300,000 pa

Leads regional deployment engineering for a physics AI platform, owning end-to-end success of customer-owned infrastructure deployments. Acts as primary technical contact for CIOs and CTOs, overseeing Kubernetes-based platform rollouts, security reviews, and version upgrades while hiring and growing a team of deployment engineers.

PhysicsX · New York, United States · US$200,000 – US$300,000 pa

Partners with engineering teams to embed security into CI/CD pipelines, lead threat modeling and secure design reviews for web apps, APIs and cloud services, and manage the product vulnerability lifecycle. Also drives secure coding standards, delivers training, and engages with customers during security reviews, with a strong DevSecOps and application security focus.