3 of 3 Permanent MLflow Jobs in the Thames Valley

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 ...

infrastructure (networking, identity, storage, Kubernetes). Support data lakes and warehouses (e.g., Snowflake). Enable data/ML platforms like Databricks, Azure ML, Synapse, MLflow, Airflow. Drive automation with Terraform, Azure DevOps, CI/CD pipelines. Embed security and compliance standards (GDPR, ISO 27001). What we're looking ...

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 ...