1 to 25 of 67 XGBoost Jobs in the UK

efficiency, leveraging end-to-end ML architectures spanning supervised, unsupervised, and reinforcement learning. Combine statistical methods with modern ML techniques such as gradient boosting (XGBoost, LightGBM), ensemble methods, deep learning (CNN, RNN, LSTM), and generative models (GAN, VAE) to enhance predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks ...

efficiency, leveraging end-to-end ML architectures spanning supervised, unsupervised, and reinforcement learning. Combine statistical methods with modern ML techniques such as gradient boosting (XGBoost, LightGBM), ensemble methods, deep learning (CNN, RNN, LSTM), and generative models (GAN, VAE) to enhance predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks ...

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 ...

lifecycle, from experimentation through deployment and monitoring. Proficiency in Python and familiarity with ML libraries like scikit-learn, XGBoost, PyTorch or TensorFlow. Experience with ML Ops tools and practices such as MLflow, model registries, containerisation (Docker/Kubernetes), and CI/CD pipelines. Comfortable working with cloud platforms (preferably Azure ...

optimisation, marketing optimisation, conversational AI, or related domains. Expert Python and SQL. Strong system design and engineering fundamentals. Hands-on with ML frameworks: sklearn, XGBoost, PyTorch, TensorFlow, LightGBM. Experience with LLMs, prompt design, RAG, evaluation frameworks. Familiarity with data engineering and modern MLOps (registries, pipelines, CI/CD, monitoring). ...

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 ...

build these skills. Experience with: Automation of processes/pipelines for data, analytics or operations ML-specific Python libraries (e.g. pandas, scikit-learn, xgboost) Big data tooling (e.g. Snowflake/snowpark, pyspark) Cloud computing - especially Azure, where we deploy key parts of our platform The interview process: Our interview process ...

market microstructure. Hands-on with interactive visualization libraries (e.g., Bokeh). Distributed compute experience (Dask, Ray). Familiarity with ML frameworks (JAX, PyTorch, TensorFlow, XGBoost). Experience with compilers and code generation. Benefits International environment (English as the main language). Pension scheme. Comprehensive health coverage. Team events and offsites. ...

Data Science & AI Graduate Scheme ( Leeds and Halifax ) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper ...

Data Science & AI Graduate Scheme (Edinburgh) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and progress ...

Data Science & AI Graduate Scheme (Manchester) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and progress ...

Data Science & AI Graduate Scheme (Bristol) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and progress ...

Data Science and AI Industrial Placement (Edinburgh) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and ...

Data Science and AI Industrial Placement (Manchester) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and ...

Data Science and AI Industrial Placement (Bristol) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and ...

Data Science and AI Industrial Placement (Leeds) Your AI era starts now At Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and ...

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 ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...

Bring 0–2 years of ML engineering experience or a PhD with ML coursework Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.) Experience with data prep, training, and model evaluation Bonus: contributions to ML benchmarks Must be U.S.-based Opportunity Details ~20 hours/week Remote ...