Lead Machine Learning Engineer, ExTrac

£100-125k

AWS

Python

PyTorch

Senior and Expert level

Edinburgh

3 days a week in office (Liverpool Street, London )

We combine human expertise, curated data, and domain-specific AI to enable faster decision-making

Job no longer available

We combine human expertise, curated data, and domain-specific AI to enable faster decision-making

21-100 employees

B2BArtificial IntelligenceSecurityBig dataMachine LearningSaaS

Job no longer available

£100-125k

AWS

Python

PyTorch

Senior and Expert level

Edinburgh

3 days a week in office (Liverpool Street, London )

21-100 employees

B2BArtificial IntelligenceSecurityBig dataMachine LearningSaaS

Company mission

To empower our customers to make faster, better-informed decisions about the risks and opportunities emerging from world events.

Job

Company

Role

Who you are

Minimum of 7+ years of experience in machine learning, software engineering, or a related field
Deep expertise in Python or other programming language, with a history of leading projects using machine learning frameworks such as Sci-kit Learn, TensorFlow, or PyTorch
Advanced knowledge of designing and implementing robust data pipelines, orchestration, and workflow management systems (e.g., Airflow, Kubeflow, or similar)
Proven track record of working in cross-functional teams, including engineers, researchers, and product managers, driving machine learning initiatives from concept to deployment
Strong leadership skills in mentoring, technical direction, and setting best practices for engineering teams
Experience in defining project roadmaps, aligning technical solutions with business goals, and ensuring timely delivery in dynamic, fast-paced environments
Ability to lead and drive innovation, making key architectural and technical decisions to support long-term platform scalability and performance

What the job involves

Design, develop, and deploy scalable machine learning models to solve complex challenges, including natural language processing, predictive analytics, computer vision, and recommendation systems
Support the implementation, refinement and fine-tuning of existing models, including implementing best practices in feature engineering, model training, and evaluation
Collaborate with software engineers and other machine learning engineers to integrate machine learning models into existing software systems and applications
Stay current with the latest advancements in machine learning, artificial intelligence, and related technologies
Uphold data governance, security standards and machine learning best practices
Please note, ExTrac provides services to a number of different government clients, some of which specify nationality criteria for individuals seeking Security Clearance (SC). Given this, we can only consider applications from individuals who hold a passport from the UK, another NATO member states, Australia or New Zealand

Application process

Role & Company Overview + CV Walkthrough – 60 Minutes
Python Pair Programming Interview - 60 Mins
Machine Learning System Design Interview - 60 Mins

Our take

Traditional intelligence gathering often struggles to keep pace with the evolving nature of threats. Siloed approaches focus solely on physical or online risks and miss the complex interplay between the two, leaving organisations vulnerable.

ExTrac offers a comprehensive approach, with its system bridging the physical and online divide, providing real-time insights into a broad range of threats, including terrorism, violent extremism, disinformation, and crime. Its Co-Analyst tool allows even non-experts to obtain valuable insights and make faster, more informed decisions.

The company's innovative technology and focus on user-friendliness positions it to empower a wide range of organisations to proactively manage risk. As the threat landscape continues to evolve, ExTrac is poised for continued growth, with a wealth of opportunity on its horizon.

Freddie

Company Specialist at Welcome to the Jungle

Company

Company benefits

An annual individual learning and development budget of £500
33 days of annual leave
Sabbatical leave offer
Flexible working: work where you work best, with the opportunity to spend 2-5 days a week working with the team in our central London office
A generous private healthcare package
Cycle to work scheme
Enhanced pension contributions
Enhanced parental leave
Workplace nursery scheme
Regular team lunches and socials

Company values

Creativity & Design | We blend technology and human understanding to create solutions that are both powerful and intuitive.
Innovation & Excellence | We don’t follow the crowd – we pursue excellence and push boundaries at every turn.
Products That Are Loved | We build with purpose, obsess over the details, and take pride in everything we create.
No Egos | We push hard, own our mistakes, and succeed together.

Company HQ

London, UK

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