51 to 66 of 66 XGBoost Jobs in the UK

learning and predictive modelling projects Advanced Python and SQL skills Experience working with large and complex datasets Knowledge of machine learning techniques such as XGBoost, CatBoost, or related models Experience working in cloud-based environments, ideally Azure Strong stakeholder management and communication skills Ability to translate business challenges into analytical ...

identify opportunities to improve business efficiency through intelligent automation.Skills & ExperienceStrong Python programming skills with experience using libraries such as Pandas, NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib.Experience developing machine learning models for prediction, optimisation or classification.Strong SQL skills and experience working with relational databases.Sound ...

cards, or BNPL. Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques. Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow. Experience with explainability frameworks such as SHAP, LIME, PDP. Ability to communicate technical concepts clearly and influence cross-functional decisions. Familiarity ...

Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression‐based approaches. Assist in designing and implementing end‐to‐end data ingestion processes, ensuring seamless data flow to investing teams. ...

operating models on Databricks. Familiarity with cloud‐based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit‐learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams. #J-18808-Ljbffr ...

refine problem statements and propose solutions considering effort, impact, and scalability trade-offs; Nice to have: Apache Spark, Iceberg, Kafka, dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, EMR, SageMaker, Lakeformation, Terraform, Docker, GitHub CI/CD, Knowledge Graphs, RAG, graph ML, probabilistic programming, A/B testing. ...

statements and propose solutions taking effort-impact-scalability tradeoff into account.Some skills that will make you stand out: Apache Spark, Iceberg, Kafka, dbtScikit-Learn, XGBoost, PyTorch, MLFlow,, GraphFrames, RayAWS (S3, EMR, SageMaker, Lakeformation), Terraform, Docker, GitHub CI/CDKnowledge Graphs (+ RAG), graph ML, probabilistic programming, A/B testingAdditional ...

operating models on DatabricksFamiliarity in Cloud-based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring ...

/or optimisation - with strong command of the underlying statistical principlesStrong proficiency in Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, xgboost, shap)Advanced working knowledge of SQLHands-on experience with data pipelines and ML infrastructureExperience working within AWS (ideally using Sagemaker) and/or AzureComfort working across ...

projects Requirements: Recent graduates or final year students. Should desirably have knowledge of Artificial Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP). Solid academic record. ...

Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services. Expert‐level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost). Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management. Advanced experience designing explainability systems, reason codes, and governance ...

identify gaps between predicted vs. actual claim costs Working with large, messy insurance datasets across multiple product lines Tools & tech: Python, SQL, AzureML, XGBoost Opportunity to mentor within the team #J-18808-Ljbffr ...

hear from you.Experience developing, deploying or operating machine learning solutions in production environmentsFamiliarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologiesExperience training models using GPUs, or an interest in distributed computing and scalable machine learning systemsUnderstanding of software engineering fundamentals, including version control ...

Who are we Tripledot Studios is one of the largest independent mobile games companies in the world.We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.Our expanded portfolio ...

opportunities A chance to directly shape enterprise-level decision-making Compensation : $130K What You’ll Be Doing Designing and optimizing gradient boosting ML models (XGBoost, LightGBM, CatBoost) Delivering high-accuracy financial and operational forecasts Engineering and tuning robust, interpretable models with open-source tools Using internal + external datasets, including … like version control and performance testing What You’ll Need to be Considered Must be local to Birmingham Demonstrated expertise with gradient boosting frameworks (XGBoost, LightGBM, etc.) Strong experience forecasting KPIs like sales trends, AR, and working capital Comfort building from scratch using open-source ML tools and Python ...