6 PyTorch Jobs in Manchester

NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big more »

Vector database technologies and Semantic Search techniques & tools.Experience in writing robust and efficient code in Python.Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain.Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments.Experience in more »

Document methodologies, experiments, and results to ensure transparency and facilitate knowledge sharing. What you’ll need to bring experience of: Python Machine Learning Libraries (PyTorch, TensorFlow) NumPy/Pandas Matplotlib SQL database This role is hybrid in Manchester 1-2 days onsite per week, please consider this if you’re more »

with have experience within: Solid understanding of Machine Learning and Deep Learning concepts, particularly in computer vision. Proficiency in Deep Learning frameworks such as PyTorch, TensorFlow, or OpenVino. Strong programming skills in Python, with experience in ML/CV environments (Numpy, OpenCV). Familiarity with Linux operating systems and Git more »

terms of technical prowess Key skills needed: Strong skills in Machine Learning - both LLM and NLP Proficient experience in ML Ops Experience in Python, PyTorch, Django and/or Flask C++/C language exposure is beneficial For more information on the role, don't hesitate to reach out or more »

Data Science & ML Consultant Location : Manchester – Hybrid Employment : Full Time All applicants must hold a DV (Developed Vetting) clearance to apply. The Opportunity : For the Ministry of Defence (MOD), maintaining national security is a 24-hour-a-day, 365-day more »