18 of 18 scikit-learn Jobs in Yorkshire

Learning Systems. * Extensive experience in at least one Deep Learning framework (PyTorch, TensorFlow, JAX). * Well versed in the scientific Python ecosystem (NumPy, Scikit-Learn, Pandas etc.). * Strong Data Engineering underpinnings and an ability to work with big data (Tbs). * Strong leadership skills, using empathy, clarity ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

competition performance 3–5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment Solid understanding of statistical methods, experiment design, and causal ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

training What You'll Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor's degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference ...

Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent ...

Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent ...

Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent ...

Proficiency in Python programming and experience with Python data science frameworks Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent ...

monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI and Conda. Cross-Platform ...

monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI and Conda. Cross-Platform ...

monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI and Conda. Cross-Platform ...

monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build lifecycle, creating and optimizing Python wheels and Eggs, and managing releases to PyPI and Conda. Cross-Platform ...

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