Machine Learning Engineer

📋 Job Overview

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.

🏢 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.

✅ Key Responsibilities

• 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

📌 Required Qualifications

• Due to the nature of our work and the clients we support, applicants must be eligible to obtain UK security clearance. We are currently only able to consider applicants who are nationals of a NATO member state, Australia, or New Zealand.
• 2+ years of professional software engineering experience, with experience owning well-defined features or components end-to-end within a larger system
• Technical excellence (contributing to production systems, research that was used, or hands-on ownership of well-defined components in an early-stage role)
• Some hands-on experience with model serving (small models and LLMs), agent orchestration or retrieval systems
• Developing rigour in evaluation and benchmarking, with support from senior engineers
• Strong engineering fundamentals: ability to write clean, maintainable code
• Comfort with a fast-paced environment and clear ownership of well-defined work
• Exposure to modern coding agents and interest in effective workflows

⭐ Desirable Experience

• Early-stage start-up experience
• Building agentic tools and harnesses
• Working on domain-specific modelling problems
• Clear writing, systematic thinking and strong communication

🎁 Benefits

Competitive salary based on skills and experience. A generous benefits package, including Private Medical Health Insurance and enhanced pension contributions. Enhanced parental leave and a workplace nursery scheme. £500/year education budget with more expensive items (like conferences) covered with manager approval. 33 days of leave across the year inclusive of bank holidays. Flexible working, hybrid: minimum 2 days per week in our central London office.

🛂 Visa & Eligibility

Due to the nature of our work and the clients we support, applicants must be eligible to obtain UK security clearance. We are currently only able to consider applicants who are nationals of a NATO member state, Australia, or New Zealand.