5 of 5 Part-Time PyTorch Jobs in the UK excluding London

nStrong interpersonal skills and team working. \n \n\n DESIRABLE: \n \n \nDemonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n \n\n \n \nExperience with data storage ...

developing junior members of a team and wider community. \n \n\n DESIRABLE: \n \n \nDemonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n \n\n \n \nExperience with ...

real-world problems in industry or academia \n Strong Python programming skills and deep familiarity with the Python ecosystem (i.e. pandas, numpy, scikit-learn, pytorch, pip, pytest) \n Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skills \n\n Preferred qualifications, capabilities, and skills ...

practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc. \n Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace. \n Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation. \n Familiarity with latest development in deep learning frameworks. \n Ability ...

deep learning methods and large language models. \n Extensive experience with ML/DL toolkits and libraries (e.g., Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, scikit-learn, pandas). \n Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders. … Depth in one or more: Natural Language Processing, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis. \n Additional familiarity with ML frameworks (e.g., PyTorch, Keras, MXNet, scikit-learn). \n Understanding of financial services or wealth management domains. \n Desirable: Contributions to open-source ML/LLM tooling; certifications ...