26 to 30 of 30 TensorFlow Jobs in England

least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real ...

least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real ...

/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting ...

Data Scientist/AI Engineer (TensorFlow, PyTorch) Required Our East Anglia based Global client seeks an experienced Data Scientist/AI Engineer with the following must have skills and experience Min of 3 years of commercial experience in a similar Data Science/AI Engineer role Essential technical skills … LLMs and natural language processing, including hands-on experience with transformer architectures (e.g., GPT, BERT, T5). Expertise in deep learning frameworks such as TensorFlow , PyTorch , or JAX . Strong knowledge of machine learning algorithms and their application to NLP tasks. Experience with cloud platforms such ...

systems . (Note: This is a system-heavy deployment role, not a research or prototyping position). The Technical Stack: Strong proficiency in TensorFlow is strictly required. Experience with Kubeflow is a massive plus. Lifecycle Ownership: Complete comfort handling the end-to-end ML lifecycle: prototyping, building robust data ...