5 of 5 XGBoost Jobs in the North West

Senior Data Scientist (UK)

Location
Sale, England, United Kingdom
command of English – both written and spoken (international client communication, presentations), Expertise in at least one of the following domains: Experience with TensorFlow, PyTorch, XGBoost, LightGBM, Proficiency with Git, Linux, Docker, MLflow, Airflow, AWS/GCP/Azure, Solid SQL and data visualization skills. Additional Information Nice to have: Proven ...

Data Science & AI Graduate Scheme (Manchester)

Location
Manchester, England, United Kingdom
modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems ...

Data Scientist New Manchester, United Kingdom

Location
Manchester, England, United Kingdom
Anaplan Applications, translating raw customer data into automated, high-value business insights. Advanced Modeling & Timeseries Forecasting: Design, train, and implement robust Machine Learning (LightGBM, XGBoost) and Deep Learning (PyTorch) models specifically focused on complex demand sensing and resolving cold‐start forecasting problems. Feature Engineering Pipelines: Build and optimize scalable data ...

Data Scientist: ML Engines & Production Analytics

Location
Manchester, England, United Kingdom
deliver actionable insights at scale. You will partner with Customer Success, Product, and Engineering, applying time-series forecasting and advanced ML techniques (LightGBM/XGBoost, PyTorch) in a fast-paced environment, with a focus on #J-18808-Ljbffr ...

ML Engineer

Location
Carlisle, England, United Kingdom
Raffles, Singapore | Posted on 04/06/2026 Experience working with ML platforms such as CML, SparkMLlib, and Python ML libraries (scikit‐learn, XGBoost), including modeldeployment. Design and develop highly scalable, Real time systemsusing Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive,Ranger, Kafka, Flink and Nifi) Build robust ...