2 of 2 Permanent Decision Tree Jobs in Yorkshire

Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection, and time series forecasting. Working understanding of model evaluation and explainability concepts, e.g. overfitting, bias, cross ...

translating those developments into practical insight for the firm. Help drive codifying legal and operational knowledge into scalable agentic workflows (e.g. playbooks, checklists, decision trees and AI-supported workflows), enabling consistent, repeatable and efficient delivery across the firm. Challenge existing processes and ways of working, driving continuous improvement ...