7 of 7 Permanent PyTorch Jobs in the West Midlands

ethical considerations. \n\n \n Strong interpersonal skills and team working. \n\n DESIRABLE: \n \n Demonstrable 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 Experience with ...

coaching and developing junior members of a team and wider community. \n\n DESIRABLE: \n \n Demonstrable 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 Experience with ...

excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised ...

research firm, building ML models that power products and drive decision-making at scale. Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch Work on supervised, unsupervised, and reinforcement learning problems Clean and process large datasets to extract insights and train algorithms Perform feature engineering to improve model ...

Looking For Must Have; Extensive experience designing and building large-scale foundation models Strong Python and CUDA C/C++ expertise Deep knowledge of PyTorch (preferred) or another major deep learning framework Experience optimising and debugging deep learning models Experience with distributed training and large-scale inference Experience building ...

Machine Learning, or Privacy Engineer. Proficiency in programming languages such as Python is added advantage. Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. Experience working with multi-cloud technologies. GCP is mandatory. Excellent analytical and communication skills, with the ability to explain complex technical and privacy concepts ...

STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding ...