Machine Learning Engineer

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 19 week of 2026