Senior Machine Learning Engineer

ExTrac

. Partner directly with software engineering and product design to understand requirements .

Posted 9/29/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in model serving, including small models and LLMs, while ensuring production-ready systems at scale. Capable of leading technical direction, mentoring team members, and translating research into practical solutions for domain-specific challenges.

Highest-signal resume keywords

Model ServingAgent OrchestrationEvaluation and BenchmarkingClean Code WritingProduction Systems at Scale

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model EvaluationWorkflow IntegrationSystem ArchitectureDomain-Specific ModellingTechnical Decision MakingData Collection DesignProduction DeploymentAgentic Tools DevelopmentResearch TranslationRobust System Design

Soft Skills

Clear CommunicationSystematic ThinkingMentoringCollaborationOwnership

Certifications & Qualifications

UK Security Clearance Eligibility

Industry Keywords

Geopolitical AnalysisNATO Member State NationalityEarly-Stage Start-Up ExperienceFast-Paced Environment

About the role

Key responsibilities & impact

Partner directly with software engineering and product design to understand requirements
Design and run model evaluations
Integrate optimised workflows into production pipelines
Ensure results remain reliable at scale
Architect agentic systems for large-scale analysis of the geopolitical landscape
Train and evaluate domain-specific models for customer problems
Work with design and engineering to bring models into the product
Translate research into practical solutions for analysts alongside domain experts
Lead technical direction on major initiatives
Set standards across the team and mentor others
Take projects from prototype through reliable production deployment
Collaborate with engineers designing the data collection and processing backend
Engage directly with senior stakeholders
Make technical decisions on model selection, training approaches, evaluation and deployment
Deliver production-ready systems at scale
Uphold standards for architecture, code quality, evaluation and research practice

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
Technical excellence through production systems at scale, research used in practice, or end-to-end ownership in an early-stage role
Hands-on experience with model serving, including small models and LLMs
Hands-on experience with agent orchestration and retrieval systems
Rigour in evaluation and benchmarking
Strong engineering fundamentals, including the 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: early-stage start-up experience
Desirable: experience building agentic tools and harnesses
Desirable: experience working on domain-specific modelling problems
Desirable: clear writing, systematic thinking and strong communication
Legally able to work in the UK without visa support, or provide current UK right-to-work information

Benefits

Comp & perks

A generous benefits package, including Private Medical Health Insurance and enhanced pension contributions
Enhanced parental leave
Workplace nursery scheme
£500/year education budget, with more expensive items such as conferences covered with manager approval
33 days of leave across the year inclusive of bank holidays
Flexible working, hybrid with a minimum of 2 days per week in the central London office