Deep Learning Engineer, PyTorch, GNN, Remote, £90,000 per annum My client, a leading consultancy at the forefront of AI, is searching for a Deep learning Engineer to work on solving complex data challenges, with a particular focus on graph neural networks (GNNs). The ideal Deep Learning Engineer will … ideally have an expertise in in PyTorch and PyTorch Geometric (PyG). You will be developing GNN models and working closely with the data science team to design, test and deploy scalable deep learning models. This role will be remote so you can be anywhere in the UK. Skills:- Strong … hands-on experience with deep learning frameworks, specifically PyTorch and PyTorch Geometric (PyG). Proven track record of implementing GNNs for tasks such as link prediction, node classification, and graph generation. Experience with data prepossessing, feature engineering, and understanding of the unique Master's or PhD in Computer Science, Artificial more »
City of London, London, United Kingdom Hybrid / WFH Options
BeTechnology Group
5+ years' experience with Python with strong coding skills Familiar with object-orientated design methodology and application development in Python Proficiency with ML, LLMs, PyTorch Experience with Transformer models and modern ML techniques Excellent communication and collaboration skills, with the ability to thrive in a fast-paced and dynamic environment. … the skills and experience required for this exciting opportunity, please submit your CV today! Keywords: AI Engineer, ML Engineer, Machine Learning, Artificial Intelligence, Python, PyTorch, LLMs, MLOps, Docker BeTechnology Group Limited is acting as an Employment Agency in relation to this vacancy. more »
Founding Engineer – (Python, TensorFlow, PyTorch) London (Hybrid 1 Day a week) Salary up to £110,000 + Equity An opportunity for an experienced ML Engineer to join an Early-stage VC backed Healthcare platform using AI to manging patients care. Here you'll help to develop methods for building reliable … domain-specific applications Requirements Degree in Computer Science, Software Engineering, or a related field Solid experience with Python Machine learning frameworks such as TensorFlow, PyTorch, and HuggingFace Experience of deploying ML-based applications Ideally Startup experience Able to work automatously Benefits Flexible working Equity options L&D budget Company discounts more »
