About this role
Salary: £90,000 - 120,000 per year
Requirements: Commercial experience designing and building AI, machine learning, or generative AI applicationsStrong Python engineering skills and experience developing production-grade softwareHands-on experience with Azure OpenAI, Azure AI Services, and Azure Machine LearningKnowledge of modern AI frameworks such as LangChain, Hugging Face, or PyTorchDeep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systemsExperience deploying, monitoring, and optimising AI solutions in production environmentsA builders mindset and passion for solving complex technical challenges from first principlesAbility to commute to a London office once per weekDesirable: experience with AI orchestration and workflow frameworksDesirable: knowledge of knowledge graph or semantic search technologiesDesirable: experience with model fine-tuning and evaluationDesirable: knowledge of MLOps, CI/CD, containerisation, and cloud-native deployment practicesDesirable: experience developing autonomous agents and reasoning systems Responsibilities: Design and develop agentic AI systems capable of autonomous decision-making and task executionBuild LLM-powered applications, orchestration frameworks, memory architectures, and tool-use capabilitiesDevelop custom AI workflows using large language models, retrieval systems, and multi-agent architecturesCollaborate with product and engineering teams to embed AI into real-world business processesContribute to the architecture and evolution of our proprietary AI platform in a greenfield environmentEvaluate emerging AI technologies and help shape technical direction and best practices Technologies: Agentic AIAIAzureCI/CDCloudFine-tuningLLMMachine LearningMLOpsPyTorchPythonRAG More:
We are building a proprietary AI platform from first principles, creating intelligent systems that can reason, plan, and act autonomously across complex business environments. Join our growing London-based team to help build a differentiated platform for enterprise automation and work on challenging problems in modern AI, with influence over architecture, product direction, and technical strategy. The role is hybrid, with one day per week onsite in London, and offers significant ownership, autonomy, and creative freedom, alongside a competitive salary, equity participation, and comprehensive benefits.
last updated 41 week of 2026