6 of 6 PyTorch Jobs in Derbyshire

9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed 2+ yrs of proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training ...

Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable experience; advanced degree preferred Preferred Qualifications ...

algorithms, including supervised and unsupervised learning techniques and their applications to real-world problems. Hands-on experience with machine learning frameworks and libraries (e.g. Pytorch, TensorFlow, Keras, scikit-learn) for model development and deployment. Experience using LLMs Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams ...

using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration of data flows ...

using and customizing offensive toolkits for network, application, and AI/ML penetration testing Thorough understanding of how major ML frameworks (e.g., Tensorflow, PyTorch) are implemented in real-world training and deployment pipelines. Understanding of how to deploy AI/ML models with LangChain, including secure configuration of data flows ...

Internal tooling, benchmarks, and evaluation frameworks Ideal background: Strong C++ with CUDA and solid Python Deep ML systems optimisation experience (not just model training) PyTorch, large-scale inference, multi-GPU/multi-node systems HPC, embedded, or performance-critical environments ML/Machine Learning/C++/Python/CUDA ...