Artificial Intelligence Jobs in London

OpenAI · London

Lead complex end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams, and feed field insights back into product and model roadmaps. Hybrid London role with up to 50% travel.

Anthropic · London · £260,000 – £630,000 pa

Own critical parts of a production pretraining pipeline, covering performance optimization, observability, reliability and hardware debugging across the full training stack. The role sits at the boundary between research and engineering, with on-call incident response during model launches and close collaboration with teams in SF and London. It is unusually operational for a research engineering position, offering hands-on work with some of the largest training runs in the industry.

Isomorphic Labs · London

Lead formulation strategy for small molecules across drug discovery and preclinical development, designing technologies such as solid dispersions and co-crystals to improve solubility, stability and manufacturability. Interpret stability studies using ICH and ASAP methods, author regulatory submissions, and work with external CROs alongside AI/ML drug design 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.

OpenAI · London

Join the training team to push the frontier of LLM development for flagship models, enhancing intelligence, efficiency, and adding new capabilities. Work spans architecture design, long-context and efficient attention, optimization, and the science of scaling, with hands-on prototyping, debugging, and infrastructure contributions.

Anthropic · London · £260,000 – £370,000 pa

Conducts exploratory machine learning experiments to understand and steer powerful AI systems, focusing on AI control and alignment stress-testing. Collaborates with interpretability, fine-tuning, and red team groups, running multi-agent RL and jailbreak evaluations. Requires at least 25% presence in London with occasional San Francisco travel.

Carrington Recruitment Solutions · London · £95,000 – £105,000 pa

Hands-on AI solutions engineering role at a City of London professional services firm, designing, building, deploying and supporting practical AI solutions and turning proofs of concept into production. Combines AI platform work (Co-Pilot Studio, Azure AI Foundry, agentic AI, LLMs, NLP) with strong software development in C#/.NET, Python and JavaScript, working directly with senior business stakeholders in a heavily regulated environment.

University of West London · London · £18,000 pa

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.

King's College London · London

A senior professorial appointment leading the AI+ portfolio on learning, teaching and assessment, working through the King's Institute for Artificial Intelligence to connect nine faculties and shape institutional education strategy. The role combines strategic leadership with the professor's own research portfolio on AI in education, advising senior leaders and championing responsible AI integration.

King's College London · London

A senior professorial appointment leading the AI+ portfolio on education, community and innovation, working through the King's Institute for AI to connect nine faculties. The role drives responsible integration of AI into teaching, learning, assessment and community engagement, while shaping institutional strategy alongside the Vice President (Education & Student Success) and maintaining a personal research portfolio.

83zero · London · £350 – £400 pd

Hands-on engineering role building and deploying AI solutions across the Microsoft ecosystem, including Azure OpenAI, Copilot Studio and Azure AI services. Day-to-day work covers AI applications, copilots, agents and automated workflows, plus RAG and enterprise search using internal business data, integrating with Microsoft 365, SharePoint, Dataverse and other systems. Solutions are taken through development, testing and into production, with responsibility for security, governance, monitoring and cost.

eFinancialCareers · London

Embedded within an investment team, spending most of the week building AI-driven tools, agentic LLM applications and Python data analytics systems that support investment research and decision-making. Works directly with analysts and researchers to automate research workflows and monitor markets, news and macroeconomic data. Distinct for its heavy investment-floor exposure and a track record of moving people into investment analyst roles.

Databricks · London

Expert-level technical leader owning the most complex enterprise data and AI engagements for banking and financial services customers. Drives consumption strategy, executive relationships and multi-workload architecture across lakehouse, streaming and ML platforms, while mentoring junior architects and leading competitive displacements.

Rise Technical Recruitment · London · £80,000 – £120,000 pa

Builds, evaluates and optimises LLM, agentic AI and computer vision systems for financial crime compliance, including fine-tuning foundation models and training custom models. Develops benchmarks, back-testing and evaluation pipelines, and creates human-feedback improvement loops, working closely with engineering and product teams.

VIQU IT · Cornhill, Greater London · £90,000 – £95,000 pa

Owns the end-to-end architecture of an enterprise AI platform spanning Azure and AWS, covering ML training, model hosting, MLOps and Generative AI. Defines patterns for LLMs, RAG, vector search and agent frameworks, evaluates tooling, and provides technical direction to ML and platform engineers while embedding security, governance and regulatory requirements.