Machine Learning Engineer

About this role

About ExTrac ExTrac is a decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable foresight. Our ambition is to become the analytical backbone that organisations rely on when geopolitical uncertainty becomes an opportunity or a strategic risk.

More at extrac.ai . The Role Location: Hybrid (In-office in London, minimum 2 days per week) We are looking for an ML Engineer to join ExTrac's Machine Learning team, which owns our modelling capabilities end to end. You will work with software engineering and product design to understand requirements, contribute to agentic systems for large-scale analysis of the geopolitical landscape, and help train and evaluate domain-specific models for the problems our customers face.

Alongside domain experts, you will help translate research into practical solutions for analysts operating at the frontier of their field. In this role, you will own well-defined components end-to-end and collaborate on broader technical decisions, working alongside senior engineers, with support on the more ambiguous or open-ended parts of a problem. You will take projects from prototype through to reliable production deployment.

We look for people who enjoy challenging problems, keep learning and build systems that scale. We value low ego, genuine ownership and a passion for applying AI to high-stakes intelligence challenges. What the job involves Designing systems that balance research velocity with product and production constraints Help shape technical decisions on model selection, training approaches, evaluation and deployment for well-defined components Build and ship production-ready components, combining research rigour with pragmatic engineering Take projects from early exploration through to reliable deployment Apply high standards for architecture, code quality, evaluation and research practices You should apply if You like using machine learning to solve challenging problems in a complex domain You enjoy working closely with product, design and the analysts who use what you build, translating their feedback into technical decisions You're energised by hands-on work with model serving (small models and LLMs), agent orchestration and retrieval systems You care about engineering fundamentals: writing code that's clean and maintainable, not just code that works You are comfortable with a fast-paced environment and clear ownership Where this role can take you This role positions you at the frontier of applied AI for high-stakes decision-making, giving you the chance to help shape production agentic systems that influence real geopolitical and organisational outcomes.