About this role
ExTrac is hiring a Senior Machine Learning Engineer for a hybrid role based in London, requiring at least two days per week in the office. This position suits an experienced practitioner who wants to build scalable AI systems for geopolitical and intelligence challenges.
Role Overview
The Senior Machine Learning Engineer joins the machine learning team to manage modelling capabilities from end to end. The role involves partnering with software engineering and product design to build agentic systems, train domain-specific models, and translate research into production solutions for analysts.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
ExTrac operates as a decision intelligence company serving governments, defence organisations, financial institutions, and corporates. The company combines curated data sources, domain-specific AI, and human expertise to transform complex information into actionable foresight.
How to Apply
Candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The role is hybrid, requiring a minimum of two days per week in the central London office.
What are the nationality requirements for this role?
Applicants must be eligible to obtain UK security clearance and hold nationality from a NATO member state, Australia, or New Zealand.
What benefits are included?
Benefits include private medical health insurance, enhanced pension contributions, enhanced parental leave, a workplace nursery scheme, an annual £500 education budget, and 33 days of leave inclusive of bank holidays.
What does the interview process look like?
The process consists of a 30-minute initial intro interview, a 45-minute technical assessment, a 45-minute system design assessment, and a 30-minute founder interview.