Senior Machine Learning Engineer, ExTrac

£75-100k

AWS

Python

PyTorch

Mid and Senior level

London

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

AI for Geopolitical Intelligence

Be an early applicant

AI for Geopolitical Intelligence

21-100 employees

B2BArtificial IntelligenceSecurityBig dataMachine LearningSaaS

Be an early applicant

£75-100k

AWS

Python

PyTorch

Mid and Senior level

London

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

21-100 employees

B2BArtificial IntelligenceSecurityBig dataMachine LearningSaaS

Company mission

To reinvent real-time geopolitical intelligence by fusing domain-specific AI, unique data, and human expertise.

Job

Company

Role

Who you are

Minimum of 5+ years of experience in machine learning, software engineering, or a related field
Proven expertise in Python or another programming language, with a strong track record using machine learning frameworks like Sci-kit Learn, TensorFlow, or PyTorch
Strong knowledge of data pipeline design, orchestration, and workflow management tools (e.g., Airflow, Dagster 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
Ability to mentor junior team members, drive technical discussions, and influence engineering practices
Excellent communication skills with a focus on aligning technical work to business objectives

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 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 Minutes
Machine Learning System Design Interview - 60 Minutes

Salary benchmarks

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

Employee endorsements

Meaningful work

"We are driven by an inspiring mission to support customers engaged in real-world security and threat management on a daily basis. ExTrac is leading..."

Browse all endorsements

Company benefits

Flexible working: work where you work best, with the opportunity to spend two days a week working with the team in person
Access to our central London office space
The opportunity to develop and take on new challenges and responsibilities as we grow as a company
An annual individual learning and development budget of £500

Company HQ

Westminster, London, UK

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