Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Isomorphic Labs · London

Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, collaborating with research teams to turn new methods into production-ready systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.

Hyre Ai · London · £50,000 – £60,000 pa

Design and evolve production multi-agent systems using Anthropic, OpenAI and Perplexity models on AWS, extending the company's MCP server with new tools. Build the eval and observability layer with golden datasets, regression suites and LLM-as-judge, own AWS infrastructure (ECS Fargate, Lambda, Step Functions, Bedrock) and guard against prompt injection and PII leakage. Set technical direction and mentor engineers.

Searchability · Chester · £40,000 – £50,000 pa

Design, build and deploy AI agents that automate business processes and interact with company data, working with LLMs, prompt engineering, RAG and API integrations. Take solutions from requirements through to production, testing AI outputs and improving agent performance while exploring new technologies to support the wider AI strategy.

Experis · London · £600 – £644 pd

Builds production-grade GenAI and Agentic AI products within a product squad, using LLMs, RAG and agentic workflows. Requires strong Python engineering plus LangGraph, vector search, evaluation and Azure AI services to deliver secure, maintainable AI applications.

CBSbutler Holdings Limited trading as CBSbutler · London · £600 pd

Hands-on AI engineering role building production-grade Generative and Agentic AI for a major public sector programme. Day to day involves designing multi-step agent workflows with LangGraph, LLM applications in Python, end-to-end RAG pipelines, evaluation and guardrails, and deploying on Azure OpenAI, Azure AI Search and Azure AI Foundry within a product squad.

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.

Square One Resources · London · £600 – £700 pd

Builds production-grade Python services for Generative AI and complex RAG solutions, covering LLM workflow orchestration, retrieval, evidence processing, response generation and validation. Involves asynchronous services, vector/lexical/hybrid retrieval, Pydantic and LangGraph-style orchestration, plus automated testing and observability. Requires delivering GenAI and RAG beyond proof of concept.

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.

Harnham - Data and Analytics Recruitment · Abingdon · US$200,000 – US$225,000 pa

Build scalable data platforms, pipelines and ML infrastructure, and deploy production AI solutions including LLMs, RAG systems and AI agents. Work in a small, highly visible team partnering with investment and operational stakeholders, owning projects end-to-end from design through production and driving architecture decisions.

eFinancialCareers · London

Build AI tools, LLMs and intelligent automation while developing data infrastructure and analytical solutions in Python and SQL. Create dashboards and portfolio analytics to support investment decisions, working directly with the CIO, CFO and senior leadership in a privately owned investment family office. The role offers autonomy to take technology initiatives from concept through to delivery.

Anthropic · London · £225,000 – £255,000 pa

Join the Beneficial Deployments Life Sciences team to help labs automate experiments end-to-end with Claude, from advising and prototyping to writing production code. You'll deploy the Model Hardware Standard, build reusable cookbooks and evals, and shape internal product and research direction, with significant travel as an EMEA ambassador.

Anthropic · London

Conduct experimental research on AI safety, focusing on alignment and robustness of advanced systems. Develop and test techniques like AI debate and jailbreak evaluation, contributing to publications and safety policy. Work in a collaborative, interdisciplinary team using machine learning and systems engineering.

Ageas Insurance Limited · London · £70,000 pa

Joins a Data Science & AI team to identify high-value GenAI use cases and productionise scalable AI services on AWS. Works in a cross-functional squad with DevOps, data engineers and Infosec, enhancing MLOps, CI/CD pipelines and an in-house AI Python library while assessing third-party LLM technologies.

NXA Talent LTD · London · £500 pd

Design and build agentic AI systems with multi-step reasoning, multi-agent orchestration and scalable AI microservices in Python and Azure OpenAI. Develop RAG architectures, vector search and orchestration workflows using Semantic Kernel and LangGraph, integrating enterprise systems via MCP. The role also covers AI governance, safety and deploying LLM services into production within a large retail environment.

Faculty · London

Builds and deploys production-grade machine learning systems for national security and AI safety clients, including LLM applications, multi-agent tooling and evaluation of frontier models. Involves technical scoping, architectural decisions, and advising stakeholders, with reusable infrastructure work alongside engineers and data scientists.