11 of 11 Remote/Hybrid TensorFlow Jobs in the East of England

Principal Software Engineer (AI/ML)

Location
Luton, England, United Kingdom
regulated environment. 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. Strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine‐tuning large language models (LLMs ...

Principal Software Engineer (AI/ML)

Location
Luton, England, United Kingdom
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 ...

Principal ML Engineer: Speech AI & Production

Location
Cambridge, England, United Kingdom
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 ...

Machine Learning Framework/Runtime Software Engineer (C++)

Location
Cambridge, England, United Kingdom
have experience across all the areas below. Relevant knowledge, practical experience, or exposure could include: Machine learning inference frameworks such as LiteRT, TensorFlow Lite, ONNX Runtime, or similar technologies GPU programming or compute technologies such as Vulkan, OpenCL, TOSA, or compute kernels Machine learning runtimes, compilers, drivers, or backend ...

Experienced Machine Learning Framework/Runtime Software Engineer (C++)

Location
Cambridge, England, United Kingdom
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 ...

Machine Learning Team Lead

Hiring Organisation
Speechmatics
Location
Cambridge, Cambridgeshire, UK
Employment Type
Full-time
model inference (e.g., dynamic batching, flash attention, speculative decoding)Proven track record of developing and deploying models at scaleProficiency in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platformsStrong familiarity with software engineering practices and ML testing frameworksWe encourage you to apply even if you do not feel ...

Staff Engineer - AI Developer Tools and Platforms

Location
Cambridge, England, United Kingdom
across latency, memory, model size and accuracy. Experience across ML frameworks, model formats and deployment tooling, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO, including model inspection, visualisation and benchmarking across CPUs, GPUs and ML accelerators. In Return: Our team offers an inclusive ...

Staff Applications Engineer

Location
Cambridge, England, United Kingdom
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 expertise Good background of system performance analysis Experience with RTL simulation tools ...

Software Engineer, Agentic AI

Location
Cambridge, England, United Kingdom
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every ...

Senior ML Inference & Compiler Engineer

Location
Cambridge, England, United Kingdom
software ecosystem and libraries. Ideal candidates have strong systems programming skills (C/C++/Rust), experience with LLVM/MLIR, and familiarity with TensorFlow, PyTorch, and ONNX. Hybrid work model in Cambridge, UK is offered. #J-18808-Ljbffr ...