LightGBM Jobs in England

3 of 3 LightGBM Jobs in England

Senior Data Scientist

London, United Kingdom
Hybrid / WFH Options
Many Group
machine learning models, including Gradient Boosting Machines (GBMs), Neural Networks and Large language models (LLMs). Hands-on experience with popular machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Knowledge of AWS products and services including Sagemaker. Deep knowledge of Microsoft Excel in a commercial setting. You enjoy being Agile - you should be happy working with More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Data/ML Ops Engineer

Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom
Hybrid / WFH Options
DXC Technology
a talented OPS Engineer to join our growing teams in Newcastle or Erskine. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed More ❯
Employment Type: Permanent, Work From Home
Posted:

ML Engineer

Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom
Hybrid / WFH Options
DXC Technology
members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed … Git). Excellent problem-solving skills and ability to work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed More ❯
Employment Type: Permanent, Work From Home
Posted:
LightGBM
England
10th Percentile
£67,000
25th Percentile
£70,000
Median
£80,000
75th Percentile
£90,000
90th Percentile
£93,000