4 of 4 Permanent XGBoost Jobs in the South East

design. Experience with predictive modeling techniques such as regression, classification, clustering, or time-series forecasting. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern More ❯

classification, clustering, time-series forecasting, 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 strong relationships and manage expectations More ❯

Nice to Have Experience with crypto exchanges and market microstructure. Hands-on with Bokeh or other interactive viz libraries. Distributed compute (Dask, Ray) experience. ML Stack (JAX, Pytorch, Tensorflow, XGBoost, etc.) experience. Experience with compilers and code generation. Benefits International environment (English is the main language) Pension 100% health coverage Team events and offsites Recruitment process Are you interested in More ❯

deploying distributed scalable ML pipelines that can process large volumes of energy data daily using Kubernetes and MLflow With solid machine learning engineering fundamentals, fluent in Python, PyTorch, and XGBoost Skilled in developing classification models and anomaly detection systems for production environments Capable of implementing comprehensive data lineage tracking and model governance systems Driven by working in an intellectually engaging More ❯