26 to 32 of 32 XGBoost Jobs in London

model registries Experience: Experience: 3-5 years of professional engineering experience Core ML & Data Science: Proven experience applying traditional ML techniques (Random Forest, XGBoost, Linear/Logistic Regression) to real-world datasets Strong grasp of fundamentals: Transformers, Embeddings, Feature Engineering, and Model Evaluation Generative AI Stack: Deep hands-on experience ...

model registries Experience: Experience: 3-5 years of professional engineering experience Core ML & Data Science: Proven experience applying traditional ML techniques (Random Forest, XGBoost, Linear/Logistic Regression) to real-world datasets Strong grasp of fundamentals: Transformers, Embeddings, Feature Engineering, and Model Evaluation Generative AI Stack: Deep hands-on experience ...

series forecasting, ideally in retail demand, workforce planning, or operational intelligence Strong Python skills and familiarity with relevant ML libraries such as scikit-learn, XGBoost, Prophet, or PyTorch Solid understanding of statistical modelling, signal decomposition, and evaluation metrics for time series Experience designing experiments, handling noisy datasets, and improving long ...

series forecasting, ideally in retail demand, workforce planning, or operational intelligence Strong Python skills and familiarity with relevant ML libraries such as scikit-learn, XGBoost, Prophet, or PyTorch Solid understanding of statistical modelling, signal decomposition, and evaluation metrics for time series Experience designing experiments, handling noisy datasets, and improving long ...

Position Overview We are seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software ...

Position Overview We are seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software ...

BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work (not deep RAG) Tech Python, sklearn, XGBoost/LightGBM, HuggingFace Transformers, BERT-family models, embeddings, cloud-based ML, CI/CD awareness. What They're Looking For • Strong applied DS experience (forecasting ...