ExTrac AI - Senior Machine Learning Engineer

London, United Kingdom, Hybrid3w ago

In Office Senior EMEA Artificial Intelligence Machine Learning Engineer NATS Mentoring

Requirements

• 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. • Technical excellence (working on production systems at scale, research that was used, or end-to-end ownership in an early-stage role) • Hands-on experience with model serving (small models and LLMs), agent orchestration and retrieval systems • Rigour in evaluation and benchmarking • Strong engineering fundamentals: ability to write clean, maintainable code and design robust systems • Comfort with a fast-paced environment and clear ownership • Experience with modern coding agents and thoughtful views on effective workflows • Desirable • Building agentic tools and harnesses • Working on domain specific modelling problems • Clear writing, systematic thinking and strong communication

Responsibilities

• Design systems that balance research velocity with real product and production constraints • Make technical decisions on model selection, training approaches, evaluation and deployment • Deliver production-ready systems at scale, combining research rigour with pragmatic engineering • Take projects from early exploration through to reliable deployment • Uphold high standards for architecture, code quality, evaluation and research practice • 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, and you take the lead in turning their feedback into technical decisions • You have hands-on experience with model serving (small models and LLMs), agent orchestration and retrieval systems, and a thoughtful, current view on effective workflows in this space • You care about engineering fundamentals: writing code that's clean and maintainable, and you hold the people around you to that same bar • You're comfortable owning ambiguity, setting direction, and mentoring others in a fast-paced environment • Where this role can take you • This role puts you at the frontier of applied AI for high-stakes decision-making, with real influence over how ExTrac's agentic systems are built and where they go next. • Strong performance here means deeper ownership of technical direction across the ML team, a bigger hand in setting the standards others are held to, and a path toward specialised domain AI leadership or broader technical leadership, depending on what you want to grow into.

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. • ExTrac AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, colour, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.