Working Environment

You will operate with a high degree of autonomy, owning work end-to-end and engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance and review culture, encouraging challenge, learning and high standards.

You will work within security, compliance and governance constraints where quality and judgement matter as much as pace.

What You'll Be Doing

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 soft...