2 of 2 MLflow Jobs in the North of England

XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). ...

applications , including data-driven and intelligent systems Support model training, fine-tuning, and deployment where experience allows Work with tools and approaches such as: MLflow and model lifecycle tools Gradient boosted trees or custom model development AI application frameworks (e.g. LangChain, RAG-style architectures) Experience across both AI application development ...