Machine Learning Engineer

ExTrac

. Contribute to designing systems that balance research velocity with product and production constraints .

Posted 9/29/2026full-timeLondon • United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in model selection, training, and deployment, with a strong focus on building production-ready components and ensuring high standards in architecture and code quality. Capable of translating research into practical solutions while owning well-defined components end-to-end in a collaborative environment.

Highest-signal resume keywords

Model ServingLLMsAgent OrchestrationClean Code WritingEnd-to-End Component Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringModel TrainingEvaluation TechniquesBenchmarkingProduction Systems

Soft Skills

Strong CommunicationSystematic ThinkingClear Writing

Tools & Technologies

Agentic ToolsRetrieval Systems

Certifications & Qualifications

UK Security Clearance Eligibility

Industry Keywords

Geopolitical AnalysisDomain-Specific ModellingEarly-Stage Start-Up Experience

About the role

Key responsibilities & impact

Contribute to designing systems that balance research velocity with product and production constraints
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
Work with software engineering and product design to understand requirements
Contribute to agentic systems for large-scale analysis of the geopolitical landscape
Train and evaluate domain-specific models
Translate research into practical solutions for analysts
Own well-defined components end-to-end and collaborate on broader technical decisions alongside senior engineers
Participate in an interview process consisting of an initial intro interview, technical assessment, system design assessment, and founder interview

Requirements

What you’ll need

Applicants must be eligible to obtain UK security clearance
Applicants must be nationals of a NATO member state, Australia, or New Zealand
Legally able to work in the UK without visa support or provide current right-to-work information
5 years or more of continuous residency in the UK is requested in the application form
2+ years of professional software engineering experience
Experience owning well-defined features or components end-to-end within a larger system
Technical excellence through production systems, used research, or hands-on ownership of well-defined components in an early-stage role
Hands-on experience with model serving, including small models and LLMs, agent orchestration, or retrieval systems
Developing rigour in evaluation and benchmarking, with support from senior engineers
Strong engineering fundamentals and 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: early-stage start-up experience
Desirable: building agentic tools and harnesses
Desirable: working on domain-specific modelling problems
Desirable: clear writing, systematic thinking, and strong communication

Benefits

Comp & perks

Competitive salary based on skills and experience
Private Medical Health Insurance
Enhanced pension contributions
Enhanced parental leave
Workplace nursery scheme
£500/year education budget
More expensive educational items, such as conferences, covered with manager approval
33 days of leave across the year inclusive of bank holidays
Flexible working, hybrid with minimum 2 days per week in the central London office