3 of 3 MLflow Jobs in the Thames Valley

in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills More ❯

solutions. This is a strategic team build working closely with Databricks professional services on marquee client engagements. 🛠️ Databricks-Focused Tech Stack: Databricks (Primary platform - all roles) Databricks ML/MLflow AWS/Azure/GCP (Databricks deployment) Python & SQL (Databricks native) Delta Lake & Unity Catalog 💰 Package: Salary: £70k-£110k (negotiable) Performance bonus Professional certifications funded 20 dedicated development days Flexible More ❯

both on-prem, self-managed systems and also leverage AWS infrastructure. Essential: Experience of managing an on-prem Kubernetes clusters. Working knowledge of Kubeflow and other systems such as MLflow Exposure to cloud based systems e.g. AWS, Azure or GCP (they use AWS) Knowledge of Linux systems including scripting and system configuration. Understanding of how ML tools fit into MLOps More ❯