2 of 2 XGBoost Jobs in the North of England

libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as 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 ...

continuous refinement of predictive and probabilistic models based on historic and real-time trends. You will guide the implementation of advanced techniques including XGBoost , Random Forest, and MCMC , ensuring model robustness, scalability, and business relevance. You will act as a strategic partner to the pricing and operational teams, driving analytical … learning techniques to real-world datasets, with demonstrable outcomes in business decisioning or operational optimisation. Expertise in advanced modelling approaches such as Random Forests, XGBoost, and Monte Carlo simulations. Proficiency in Python for data manipulation, model development, and deployment. Experience with other languages (e.g. R, Java, Scala) is beneficial, especially ...