About this role
Salary: £? - ? per year
Requirements: Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalentStrong grounding in applied mathematics, statistics and scientific practiceExcellent Python skills for building, evaluating and deploying machine learning modelsExperience evaluating models through quantitative evidence and structured experimentationStrong software engineering practices, producing readable, testable and maintainable codeExperience integrating ML solutions into production systems and workflowsConfidence 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 iterationDevelop, validate and deploy machine learning models into production environmentsApply statistical, mathematical and scientific thinking to frame hypotheses and assess uncertaintyDesign and run experiments to evaluate model behaviour, performance and user impactWork with real, imperfect data drawn from operational systems and workflowsIntegrate machine learning components into wider software and data platformsBalance rigour with pragmatism, delivering solutions that are proportionate and effectiveCommunicate complex technical concepts clearly to non-technical stakeholdersEngage in technical reviews, design discussions and constructive peer challenge Technologies: AIMachine LearningPythonSecurity 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 29 week of 2026