10 of 10 Remote/Hybrid XGBoost Jobs in the UK

Science, Mathematics, Statistics , or a related quantitative field. Scientific Python Ecosystem: Proficiency in Python for data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability to handle large, complex datasets independently. ...

will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure, AWS, or GCP Benefits ...

Computer Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration ...

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 ...

/Azure acceptable) Experience with GenAI/LLMs (commercial or serious hands-on experimentation) Strong Python and modern ML tooling (e.g. scikit-learn, XGBoost, TensorFlow or PyTorch) Clear interest in crypto/blockchain (commercial experience a plus, curiosity required) Responsibilities Build, train, and improve ML models on large-scale blockchain ...

client in conjunction with this vacancy only. KEY SKILLS AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex ...

professional experience) Demonstrated commercial impact through applied statistics and predictive modelling Experience with forecasting and probabilistic approaches, including ML techniques (e.g. SARIMA, Monte Carlo, XGBoost, ANN) High proficiency in Python and SQL Comfortable operating autonomously, making judgement calls, and navigating ambiguity Nice to have Experience within a consulting or advisory ...

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 ...

Python. • Background in credit risk, rating agency modelling, or customer behaviour modelling. • Confident communicator with senior stakeholders. • Leadership experience in technical teams. • Experience with XGBoost or other boosting techniques. • Knowledge of MLOps or R is a plus but not essential. What They Offer • £120,000 to £150,000 base salary. ...

group with strong influence across risk, product, and strategy. The Role Lead credit decisioning strategy and model development. Stay hands on with modelling using XGBoost, GBM and related techniques. Oversee end-to-end model lifecycle from design to monitoring. Partner with risk, product, and engineering on decisioning and portfolio performance. ...