14 of 14 Remote/Hybrid TensorFlow Jobs in the East of England

model inference (e.g., dynamic batching, flash attention, speculative decoding)Proven track record of developing and deploying models at scaleExpertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platformsStrong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

model inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

data requirements and software used in Computational Chemistry, NMR, or X-ray crystallography. GPU Optimisation: Experience configuring GPU resources for Machine Learning (PyTorch/TensorFlow) and molecular dynamics. Cloud Proficiency: Practical experience with AWS, Azure, or GCP, specifically regarding hybrid workloads or cloud migration. Why This Role? This ...

technical audiences.Essential RequirementsYou will have a PhD in a relevant topic.Experience in software development in PythonExperience with at least one ML framework: TensorFlow, Pytorch.Experience working with LLMs, knowledge graphs, or graph machine learningOf particular interest are candidates with the following experience (evidenced by a track record of publications, industry ...

Essential Requirements You will have a PhD in a relevant topic. Experience in software development in Python Experience with at least one ML framework: TensorFlow, Pytorch. Experience working with LLMs, knowledge graphs, or graph machine learning Of particular interest are candidates with the following experience (evidenced by a track ...

Essential Requirements You will have a PhD in a relevant topic. Experience in software development in Python Experience with at least one ML framework: TensorFlow, Pytorch. Experience working with LLMs, knowledge graphs, or graph machine learning Of particular interest are candidates with the following experience (evidenced by a track ...

following technical skills:Industry experience working on Agile projects across the full software life cycle.Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language models (LLMs ...

following technical skills:Industry experience working on Agile projects across the full software life cycle.Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language models (LLMs ...

quantisation, graph optimisation, operator fusionandprecision reductionExperience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO.Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency, memory, model size and accuracy.A ...

gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important.A good understanding of how AI models execute in practice is essential, including graph processing ...

quantisation, graph optimisation, operator fusionandprecision reduction Experience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO. Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency, memory, model size ...

cross-functional teams.Excellent communications skills both written and verbal“Nice To Have” Skills and Experience:Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes.System bring-up and JTAG debugging expertiseGood background of system performance analysisExperience with RTL simulation tools and software development toolsIn Return ...

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