18 of 18 Remote XGBoost Jobs in London

and marketing funnel analysis Proficiency in Python with extensive experience in data science & AI libraries (e.g.scikit-learn, pandas, NumPy, SciPy, etc) Experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift) Experience with cloud platforms (AWS, Azure, GCP) and their ML services (SageMaker, Azure ML, Vertex More ❯

deliverables Qualifications Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling, and software architecture Solid understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art research areas (e.g., NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for More ❯

to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the More ❯

to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the More ❯

to lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the More ❯

discipline e.g. engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required. Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas If you hold the experience and technical skills outlined above which would enable you to hit the ground running, please apply to find out more information about this More ❯

from ideation through to impact in high-autonomy environments Track record of building forecasting systems with measurable commercial or operational value Advanced Python proficiency and familiarity with libraries like XGBoost, Prophet, PyTorch, Scikit-learn Deep knowledge of MLOps , reproducibility practices, and scalable experimentation Experience deploying models with CI/CD pipelines, containerisation , and cloud tools (e.g., SageMaker, Vertex AI, GCP More ❯

outputs Write clean, maintainable, and well-documented code Share ideas to improve and evolve our data platform 🎯 What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders Self-starter attitude with curiosity and drive A degree in Data Science, Math, Statistics, or More ❯

outputs Write clean, maintainable, and well-documented code Share ideas to improve and evolve our data platform 🎯 What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders Self-starter attitude with curiosity and drive A degree in Data Science, Math, Statistics, or More ❯

deliver measurable impact. You’ll Need: 5+ years in data science or ML roles, ideally within AdTech or gaming. Strong coding skills in Python, SQL, and modern ML libraries (XGBoost, PyTorch, etc.). Experience with time-series modelling, UA data, or predictive analytics. A creative, proactive mindset and a commercial eye for how data drives outcomes. Bonus: Experience in mobile More ❯

deliver measurable impact. You’ll Need: 5+ years in data science or ML roles, ideally within AdTech or gaming. Strong coding skills in Python, SQL, and modern ML libraries (XGBoost, PyTorch, etc.). Experience with time-series modelling, UA data, or predictive analytics. A creative, proactive mindset and a commercial eye for how data drives outcomes. Bonus: Experience in mobile More ❯

deliver measurable impact. You’ll Need: 5+ years in data science or ML roles, ideally within AdTech or gaming. Strong coding skills in Python, SQL, and modern ML libraries (XGBoost, PyTorch, etc.). Experience with time-series modelling, UA data, or predictive analytics. A creative, proactive mindset and a commercial eye for how data drives outcomes. Bonus: Experience in mobile More ❯

outputs Write clean, maintainable, and well-documented code Share ideas to improve and evolve our data platform 🎯 What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders Self-starter attitude with curiosity and drive A degree in Data Science, Math, Statistics, or More ❯

outputs Write clean, maintainable, and well-documented code Share ideas to improve and evolve our data platform 🎯 What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders Self-starter attitude with curiosity and drive A degree in Data Science, Math, Statistics, or More ❯

if Proven expertise in designing, executing, and analysing complex experiments end-to-end. Hands-on experience with statistical techniques (e.g., regressions, matching) and machine learning models (e.g., Naive Bayes, XGBoost). Strong Python and SQL skills, including writing reusable, standardised code and working in analytical environments like Snowflake. Experience conducting exploratory data analysis, including visualisations and identifying product key drivers. More ❯

AND EXPERIENCE 5–7 years of experience in a consumer credit environment, particularly in decision science or data science. Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM). Experience working with transactional data and credit bureau sources. Familiarity with model monitoring and performance tracking frameworks. Proficient SQL skills for querying and data transformation. Bonus: experience with More ❯

AND EXPERIENCE 5–7 years of experience in a consumer credit environment, particularly in decision science or data science. Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM). Experience working with transactional data and credit bureau sources. Familiarity with model monitoring and performance tracking frameworks. Proficient SQL skills for querying and data transformation. Bonus: experience with More ❯

analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning of models with Vector databases and embeddings to support semantic search, RAG (retrieval-augmented More ❯