Senior Machine Learning Engineer

Salary: £? - ? per year

Requirements:

• Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent
• Strong grounding in applied mathematics, statistics and scientific practice
• Excellent Python skills for building, evaluating and deploying machine learning models
• Experience evaluating models through quantitative evidence and structured experimentation
• Strong software engineering practices, producing readable, testable and maintainable code
• Experience integrating ML solutions into production systems and workflows
• Confidence working in secure, regulated or high-assurance environments

Responsibilities:

• Lead end-to-end delivery of machine learning solutions, from problem definition through experimentation, evaluation and iteration
• Develop, validate and deploy machine learning models into production environments
• Apply statistical, mathematical and scientific thinking to frame hypotheses and assess uncertainty
• Design and run experiments to evaluate model behaviour, performance and user impact
• Work with real, imperfect data drawn from operational systems and workflows
• Integrate machine learning components into wider software and data platforms
• Balance rigour with pragmatism, delivering solutions that are proportionate and effective
• Communicate complex technical concepts clearly to non-technical stakeholders
• Engage in technical reviews, design discussions and constructive peer challenge

Technologies:

• AI
• Machine Learning
• Python
• Security

More:

We operate with a high degree of autonomy, supporting delivery through a strong technical assurance and review culture that encourages challenge, learning and high standards. We work within security, compliance and governance constraints where quality and judgement matter as much as pace. We offer genuinely challenging machine learning work where judgement, credibility and delivery matter in a supportive, committed and inclusive environment. This is an opportunity to shape solutions from first principles and contribute to high-impact outcomes within a strong professional culture. We are committed to fostering an equitable, diverse and inclusive workplace, actively welcoming talent from all backgrounds and valuing different experiences, perspectives and creativity.

last updated 39 week of 2026