26 to 30 of 30 TensorFlow Jobs in the South West

infrastructure. Take ML solutions through the full lifecycle, from experimentation and prototyping through to deployment, monitoring and iteration. Work with frameworks such as PyTorch, TensorFlow and Scikit-learn. Develop scalable ML pipelines, tooling and reusable components that accelerate the delivery of AI systems. Make architectural and technical decisions around … similar. Strong Python skills and experience building production ML systems. Experience taking machine learning models from development into production. Practical experience with PyTorch, TensorFlow, Scikit-learn or similar ML frameworks. Good understanding of core ML concepts, including statistics, probability and machine learning techniques. Experience with cloud platforms such ...

Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle … Ethical AI considerations KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance #J-18808-Ljbffr ...

Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle … this vacancy only. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance ...

Senior/Principal ML Systems Architect (TensorFlow + Python) Overview We are seeking a highly experienced ML Systems Architect to design and implement a scalable, production-grade architecture for our machine learning solver. This role bridges research prototypes and commercial deployment, ensuring reliability, maintainability, and performance in a mixed … Responsibilities Architect the ML Solver Platform : Define modular architecture for data preprocessing, model execution, and post-processing. Establish clear API contracts between Python/TensorFlow and C# services. Convert research code into robust, testable, and observable services. Implement CI/CD pipelines, automated testing, and reproducibility standards. Design REST ...

targeting the unique features of XCORE devices. Maintaining the currently shipping AI Compiler. This is an MLIR – based compile chain capable of transforming a Tensorflow Lite model to a representation optimised for execution on XCORE devices, including memory optimisations and use of a bespoke C/C++ runtime. Planning … develop solutions autonomously. Compiler development, in particular the back – end, including experience with or interest in AI/ML compiler frameworks such as TensorFlow (XLA, MLIR, or TFLite) An interest in working across the full AI stack – from ML framework integration and compiler front – end work through ...