4 of 4 Decision Tree Jobs in Yorkshire

significant impact on our customer retention and long-term success. Key Responsibilities: Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data. Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn … tasks toward high-level goals with limited human oversight. Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection. Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions. Work closely ...

significant impact on our customer retention and long-term success. Key Responsibilities: Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data. Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn … tasks toward high-level goals with limited human oversight. Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection. Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions. Work closely ...

significant impact on our customer retention and long-term success. Key Responsibilities: Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data. Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn … tasks toward high-level goals with limited human oversight. Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection. Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions. Work closely ...

significant impact on our customer retention and long-term success. Key Responsibilities: Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data. Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn … tasks toward high-level goals with limited human oversight. Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection. Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions. Work closely ...