4 of 4 Permanent MLflow Jobs in the South East

building simple data pipelines or transformation workflows is a plus. Exposure to ML Ops or production systems (nice to have) Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP). Experience deploying models via APIs or lightweight services is a bonus, not a requirement. Software ...

architectural Experience with: Microsoft Fabric (OneLake, Data Engineering, Data Warehouse, Real-Time Analytics, Power BI). Azure Databricks (Delta Lake, Spark, Unity Catalog, MLflow). Azure Synapse Analytics (Dedicated & Serverless SQL) Data ingestion (ADF, Synapse Pipelines, Databricks Workflows). Azure Data Lake Storage Gen2 Strong understanding of Lakehouse architecture, medallion ...

they grow. Your Skills and Experience To succeed, you will bring strong commercial experience in: Python and applied ML engineering. MLOps tooling such as MLflow and modern experiment tracking platforms. Deploying models into production, including monitoring, testing and automation. AWS, with practical experience using SageMaker. Cloud and DevOps foundations including ...

test splits are dangerous in time series and what to do about it. MLOps & Productionisation. Experience taking models from notebook to production: experiment tracking (MLflow, W&B), model versioning, feature stores, drift detection, and retraining triggers. You can build a model that doesn't just work once - it works reliably ...