Machine Learning Engineer

Status
Open
Remote policy
Not stated
Employment type
Full-time
Salary
Not stated
Categories
Product & Engineering
Tech
ml
Source
arbeitnow
First observed
2026-09-23 11:01 UTC
Last seen
2026-09-23 13:11 UTC
Source claims posted
2026-09-23 09:40 UTC
Consecutive misses
2 of 3

What the posting says

About ExTrac

ExTrac is a decision intelligence company used by public and private sector organisations 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 extrac.ai.

About the Role

We are currently only able to consider applicants who are nationals of a NATO member state, Australia, or New Zealand.

This role is open at both mid and senior level. Scope, autonomy and expected impact will scale with experience and ability. Senior candidates will typically lead technical direction on major initiatives, set standards across the team and mentor others; mid-level candidates will own significant components end-to-end and contribute to broader technical decisions.

The Machine Learning team owns ExTrac’s 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 set high technical standards and take projects from prototype to reliable production deployment. You will 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 you’ll do

Design systems that balance research velocity with real product and production constraints

Make (and help shape) 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

What we’re looking for

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

What sets you apart

Early-stage start-up experience

Building agentic tools and harnesses

Working on domain specific modelling problems

Clear writing, systematic thinking and strong communication

Interview Process

Initial Intro Interview - 30 Minutes

Technical Assessment - 1 hour

System Design Assessment - 1 hour

Founder interview - 30 Minutes

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. The team is typically in our central London office two days a week, and you are welcome to come in up to five.

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.

ExTrac AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing open role within our organisation. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position but all hiring decisions will be made by a member of our team.

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Quality

Completeness: 45%
Honesty: 100%

Based on 5 observation(s).

Timeline

  1. *
    #942123 2026-09-23 11:01 UTC
    Published
  2. ~
    #944189 2026-09-23 12:06 UTC
    Modified
    • Description
      About ExTrac ExTrac is a decision intelligence company used by public and private sector organisations operating in complex, fast-moving...->About ExTrac ExTrac is a decision intelligence company used by public and private sector organisations operating in complex, fast-moving...
  3. ~
    #944488 2026-09-23 13:11 UTC
    Modified
    • Description
      About ExTrac ExTrac is a decision intelligence company used by public and private sector organisations operating in complex, fast-moving...->About ExTrac ExTrac is a decision intelligence company used by public and private sector organisations operating in complex, fast-moving...
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    #950283 2026-09-23 16:26 UTC
    Not seen
    Miss 1 in a row
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    #950778 2026-09-23 17:31 UTC
    Not seen
    Miss 2 in a row