Salary: £90,000 - 90,000 per year Requirements: Degree in a STEM subject or equivalent experience with strong statistical understanding Proven experience delivering machine learning models into production environments Strong Python, SQL, and PySpark skills for scalable, production-grade development Hands-on experience establishing MLOps processes within Databricks Experience building data pipelines for structured and unstructured data Strong stakeholder communication skills, able to explain technical concepts to non-technical audiences Experience working in agile delivery environments and managing shifting priorities Responsibilities: Lead the design, build, deployment, and monitoring of production machine learning models using Databricks, ensuring performance, reliability, and continuous improvement Define and embed MLOps best practices including model versioning, governance, access control, monitoring, and retraining strategies Develop automated model validation tests covering unit, integration, regression, and bias checks Translate business problems into effective ML solutions, managing ethical, privacy, and data governance considerations Establish model performance KPIs, reliability measures, and production monitoring frameworks Document model design, assumptions, metrics, risks, and failure scenarios, ensuring full data and model traceability Diagnose and resolve production ML issues, leading root cause analysis and system improvements Work within cross-functional agile teams and support knowledge sharing across the wider business Technologies: Databricks Support Machine Learning Python PySpark SQL More: We are a forward-thinking organization based in Manchester, United Kingdom, offering a hybrid working model that balances flexibility with collaboration. This role provides a unique opportunity to shape the delivery of enterprise machine learning at scale within our modern data environment. We ensure a supportive and collaborative data and technology atmosphere, alongside a package that includes a discretionary bonus, non-contributory pension, private medical and dental cover (including family options), life insurance, and wellbeing-focused benefits. Join us to work on cutting-edge ML, MLOps, and Lakehouse technologies! last updated 5 week of 2026