10 of 10 Remote XGBoost Jobs in London

key 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 More ❯

and typical software architectures. Experience as a lead developer solving complex problems at scale. Experience mentoring junior engineers. Familiarity with various machine learning frameworks and toolkits (e.g., scikit-learn, XGBoost, TensorFlow). Hands-on experience building GenAI solutions using patterns such as Retrieval-Augmented Generation (RAG) or fine-tuning Large Language Models (LLMs). Greater familiarity with AWS compared to More ❯

Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written and verbal communication More ❯

Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations and reports. Familiarity with Git and collaborative development workflows. Good written and verbal communication 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 ❯

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 ❯

Skilled in developing insightful management information (MI) and presenting data-driven narratives. Effective time management and prioritisation skills. Experience with Python (required), SQL, and Power BI. Practical experience with XGBoost and logistic regression models (minimum). Benefits Private Medical Care: Access to premium healthcare services. Health Cash Plan: Contributions toward everyday medical expenses, including digital physio and skin clinic access. More ❯

Skilled in developing insightful management information (MI) and presenting data-driven narratives. Effective time management and prioritisation skills. Experience with Python (required), SQL, and Power BI. Practical experience with XGBoost and logistic regression models (minimum). Benefits Private Medical Care: Access to premium healthcare services. Health Cash Plan: Contributions toward everyday medical expenses, including digital physio and skin clinic access. More ❯

Skilled in developing insightful management information (MI) and presenting data-driven narratives. Effective time management and prioritisation skills. Experience with Python (required), SQL, and Power BI. Practical experience with XGBoost and logistic regression models (minimum). Benefits Private Medical Care: Access to premium healthcare services. Health Cash Plan: Contributions toward everyday medical expenses, including digital physio and skin clinic access. More ❯

Skilled in developing insightful management information (MI) and presenting data-driven narratives. Effective time management and prioritisation skills. Experience with Python (required), SQL, and Power BI. Practical experience with XGBoost and logistic regression models (minimum). Benefits Private Medical Care: Access to premium healthcare services. Health Cash Plan: Contributions toward everyday medical expenses, including digital physio and skin clinic access. More ❯