Job Description
Senior Machine Learning Engineer
Location
Manchester, United Kingdom (Hybrid working)
Why Apply?
This is an opportunity to shape how enterprise machine learning is delivered at scale within a modern data environment. Working on a strategic Lakehouse platform built on Databricks, you will influence how production ML models are designed, governed and optimised, helping the business turn complex data into reliable, decision-driving insight. The role combines hands-on engineering with MLOps leadership, strong stakeholder engagement and long-term platform thinking.
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 issu...