Senior Machine Learning Engineer
Senior ML Engineer on ExTrac's ML team, owning modelling end-to-end for a geopolitical decision-intelligence platform: building agentic systems for large-scale geopolitical analysis, training and evaluating domain-specific models, and taking them from prototype to reliable production. Core tech includes model serving, LLMs, agent orchestration and retrieval systems.
- Compensation
- Not disclosed
- Location
- London
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Eligible to obtain UK security clearance; nationals of a NATO member state, Australia, or New Zealand only
- Technical excellence (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: clean, maintainable code and robust system design
- Comfort with a fast-paced environment and clear ownership
- Experience with modern coding agents and thoughtful views on effective workflows
Nice to have
- Early-stage start-up experience
- Building agentic tools and harnesses
- Working on domain-specific modelling problems
- Clear writing, systematic thinking and strong communication
Full description
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 .
The Role
Location: Hybrid (In-office in London, minimum 2 days per week)
We are looking for a Senior ML Engineer to join ExTrac's Machine Learning team, which owns our modelling capabilities end-to-end.
You will partner directly with software engineering and product design to understand requirements, design and run model evaluations, integrate optimised workflows into production pipelines and ensure results remain reliable at scale.
You will architect cutting-edge agentic systems for large-scale analysis of the geopolitical landscape, train and evaluate domain-specific models for the unique problems our customers face and work with design and engineering to bring them into the product. Alongside domain experts, you will translate research into practical solutions for analysts operating at the frontier of their field.
In this role, you will lead technical direction on major initiatives, set standards across the team, and mentor others. You will take projects from prototype to reliable production deployment, collaborate closely with the engineers who design the data collection and processing backend, and engage directly with senior stakeholders.
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
- 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