2 of 2 MLflow Jobs in Alderley Edge

data engineers and platform teams to raise standards for CI/CD, experiment tracking, and model lineage. You’ll design scalable Databricks workflows, champion MLflow usage, implement secure, auditable promotion across environments and mentor the team to deliver business value at scale. #J-18808-Ljbffr ...

platform teams, you’ll define and evolve standards for CI/CD, experiment tracking, model lineage and controlled promotion across environments. Using Databricks, MLflow and Azure ML, you’ll help create scalable, well-governed pipelines that are reproducible, traceable and auditable. You’ll also embed model risk management into delivery … deliver sustainable business value at scale. More About the role: Design and evolve scalable, production-grade ML workflows on Databricks. Lead effective use of MLflow for experiment tracking, model versioning, lineage and lifecycle management. Build reusable CI/CD patterns for model training, validation, promotion and inference. Champion strong engineering ...