7 of 7 Remote/Hybrid XGBoost Jobs in the UK

feature engineering, validation, tuning, and performance interpretation. Strong proficiency in Python and common ML/data science libraries such as scikit-learn, pandas, NumPy, XGBoost, LightGBM, PyTorch, TensorFlow, or equivalent frameworks. Experience building end-to-end ML pipelines across data preparation, feature engineering, model training, evaluation, deployment, and monitoring. Practical ...

build trusted relationships across technical and non-technical teams at all levels. Advanced Python skills with strong data science fundamentals (pandas, scikit-learn, XGBoost, statsmodels, or similar). A rigorous, evidence-driven approach to model development with strong problem-solving ability. A commercial mindset - you instinctively connect model performance ...

build trusted relationships across technical and non-technical teams at all levels. Advanced Python skills with strong data science fundamentals (pandas, scikit-learn, XGBoost, statsmodels, or similar). A rigorous, evidence-driven approach to model development with strong problem-solving ability. A commercial mindset - you instinctively connect model performance ...

understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community ...

understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community ...

functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand ...

modern AWS production environments. The Technical Reality: We operate a pragmatic stack where Linear Regression remains vital for stability and baseline performance, while XGBoost and LLMs are used as responsible additions. We are looking for someone who knows when to use a simple linear model and when to deploy … Responsibilities Predictive Modelling (Linear & Non-Linear): You will build and maintain foundational Linear Regression models for credit, affordability, and fraud scoring, while developing advanced XGBoost models for deeper risk insights. You will mine data to find behavioural signals—such as spending volatility or income stability—that predict affordability, repayment ...