12 of 12 XGBoost Jobs in the UK

talented ML Ops Engineer to join our growing teams. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure

survival analysis). Solid object-oriented programming skills in Python and hands-on expertise with the core data science stack (Pandas, Numpy, Scikit-learn, XGBoost/LightGBM). A proven ability to break down vague, complex problems into concrete, solvable steps. Excellent communication and data storytelling skills. You can build

Data Science & AI Graduate Scheme (Leeds) Your AI era starts now At Lloyds Banking Group, data isnt just something we

Data Science & AI Graduate Scheme (Bristol) Your AI era starts now At Lloyds Banking Group, data isnt just something we

Data Science & AI Graduate Scheme (Edinburgh) Your AI era starts now At Lloyds Banking Group, data isnt just something we

Data Science & AI Graduate Scheme (Manchester) Your AI era starts now At Lloyds Banking Group, data isnt just something we

Data Science and AI Industrial Placement (Bristol) Your AI era starts now At Lloyds Banking Group, data isnt just something

Data Science and AI Industrial Placement (Manchester) Your AI era starts now At Lloyds Banking Group, data isnt just something

Data Science and AI Industrial Placement (Edinburgh) Your AI era starts now At Lloyds Banking Group, data isnt just something

look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return? Up to 250k base (depending

look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return? Up to £250k base (depending

members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure … solving skills and ability to work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure