Salary: £50,000 - 75,000 per year Requirements: Strong foundations in machine learning (e.g. NLP, information extraction, representation learning) Systems-oriented mindset - performance in production matters more than benchmarks Comfort working in ambiguity and defining problems from first principles Intellectual honesty and willingness to challenge assumptions Motivation to build infrastructure that compounds in value over time Nice to have: experience with graph databases (preferably Neo4j) Nice to have: background in information retrieval (search, ranking, semantic search, hybrid systems) Nice to have: experience building or operating ML systems in enterprise cloud environments, particularly Azure Responsibilities: Design, train, and deploy ML models that handle real-world complexity: noise, ambiguity, evolving schemas Think deeply about information representation, not just retrieval or ranking Contribute to architectural decisions around ML infrastructure and system design Ship working systems, iterate based on feedback, and avoid over-engineering Maintain a high bar for clarity, reproducibility, and long-term maintainability Work closely with backend engineers, product, and domain experts to ensure ML systems are robust and scalable Technologies: AI Backend Cloud Support Machine Learning Neo4J API Security UX UI Design More: We are a stealth AI company building a foundational intelligence platform that transforms fragmented, proprietary information into durable institutional intelligence. Our focus is on creating a robust core intelligence layer that supports reasoning and context preservation in high-stakes, information-led environments. Based in London, we prioritize an in-office work culture with remote flexibility on Wednesdays. We value a low-ego, high-ownership environment and emphasize first-principles thinking, human judgment support, and building resilient infrastructure. last updated 20 week of 2026