Lead Machine Learning Engineer, ExTrac

£100-125k

Python

Airflow

Tensorflow

Kubeflow

PyTorch

Senior and Expert level

London

2 days a week in office (Victoria, London)

Risk intelligence & insights

Be an early applicant

Risk intelligence & insights

21-100 employees

B2BArtificial IntelligenceSecurityBig dataMachine LearningSaaS

Be an early applicant

£100-125k

Python

Airflow

Tensorflow

Kubeflow

PyTorch

Senior and Expert level

London

2 days a week in office (Victoria, London)

21-100 employees

B2BArtificial IntelligenceSecurityBig dataMachine LearningSaaS

Company mission

Provide AI-powered threat, risk and geopolitical intelligence solutions to government, commercial, and third sector partners to support national security and help organisations keep their people safe.

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 Go, 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 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

Overview of Role, Company and CV Walkthrough - 60 mins
Technical Evaluation - 60 Mins
Meet the Team and Competency Questions - 60 Mins

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

Insights

Strong hiring activity

Most candidates hear
back within 2 weeks

Company

Company benefits

The opportunity to develop and take on new challenges and responsibilities as we grow as a company.
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 and an international network of co-working locations.

Company HQ

Westminster, London, UK

Share this job

View 6 more jobs at ExTrac