Lead Machine Learning Engineer, ExTrac

• 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

• 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

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

• 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.
• 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.

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.