13 of 13 XGBoost Jobs in London

ML services). Expertise: Solid 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 we have built, and we More ❯

understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling More ❯

understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling More ❯

inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modelling More ❯

inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modelling More ❯

experience in data science or ML (not a graduate role; sports background a plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset More ❯

experience in data science or ML (not a graduate role; sports background a plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset More ❯

services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI More ❯

techniques to solve complex business problems, using a blend of large structured and unstructured datasets Experience applying and interpreting various forecasting techniques, including ML approaches (e.g. SARIMA, Monte Carlo, xgboost, ANN) Highly proficient in Python and SQL Proven track record of taking initiative and working independently A flexible attitude to solving problems Nice to Have Previous experience within a consulting More ❯

techniques to solve complex business problems, using a blend of large structured and unstructured datasets Experience applying and interpreting various forecasting techniques, including ML approaches (e.g. SARIMA, Monte Carlo, xgboost, ANN) Highly proficient in Python and SQL Proven track record of taking initiative and working independently A flexible attitude to solving problems Nice to Have Previous experience within a consulting More ❯

world. They also are on the 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 on experience) 3 days More ❯

and seamlessly integrated into our lending platform. What You’ll Do Lead the design, training, and optimisation of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn. Responsible for creating proprietary data enrichment algorithms. Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing … 4+ years of hands-on experience in applied machine learning (preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI More ❯

and seamlessly integrated into our lending platform. What You’ll Do Lead the design, training, and optimisation of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn. Responsible for creating proprietary data enrichment algorithms. Guide the evolution toward a self-learning model framework, improving automation and adaptability over time. Design and oversee feature testing … 4+ years of hands-on experience in applied machine learning (preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI More ❯