17 of 17 Remote/Hybrid PyTorch Jobs in Cambridgeshire

Kernel.Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter.Familiarity with ML/DL frameworks such as PyTorch or TensorFlow.Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems.#LI-NM1What's Roku's approach to hybrid ...

biomedical foundation models, geometric deep learning, multi-modal learning, and large-scale knowledge graphs.Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation.Prior experience working ...

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 ...

hardware-aware model optimisation techniques such as 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 ...

aware model optimisation techniques such as 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 ...

welcoming you to Arm. Required Skills And Experience Good programming skills - preferably C++ and OOP Experience of ML frameworks such as ONNX Runtime or PyTorch/ExecuTorch A desire to help developers deploy ML workloads to constrained edge devices A few years' relevant engineering experience Nice to have abilities ...

probabilistic modelling and methods (Gaussian processes, Bayesian neural networks, Variational inference, etc). Experience in numerical programming (Python/NumPy/Tensorflow/PyTorch). Experience or interest in applying machine learning to solve real world problems in projects which could relate to Secondmind's customers. Keen to work ...

potentially welcoming you to Arm.Required skills and experience:Good programming skills - preferably C++ and OOPExperience of ML frameworks such as ONNX Runtime or PyTorch/ExecuTorchA desire to help developers deploy ML workloads to constrained edge devicesA few years' relevant engineering experience'Nice to have' abilities and knowledge:Experience developing ...

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 and software development ...

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 ...

need to demonstrate:Proven product management in development tools and software including CLIs, SDKs and APIs.Knowledge of machine learning frameworks, runtimes, infrastructure such as PyTorch, ONNX, ExecuTorch, Llama.cpp, vLLM and LiteRT.Understanding of model deployment to edge, embedded or heterogeneous computing, with an understanding of trade-offs between accuracy, performance ...

demonstrate: Proven product management in development tools and software including CLIs, SDKs and APIs. Knowledge of machine learning frameworks, runtimes, infrastructure such as PyTorch, ONNX, ExecuTorch, Llama.cpp, vLLM and LiteRT. Understanding of model deployment to edge, embedded or heterogeneous computing, with an understanding of trade-offs between accuracy, performance ...

server-side application performance,Experience with kernel bypass (RDMA, DPDK, SPDK),Experience with cloud native technologies such as Kubernetes, CSI, Ansible,Familiarity with PyTorch based training applications.Please note: If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with ...

that helps ML and AI workloads run efficiently on its compute platforms. We’re seeking experienced software engineers with strong C++ skills and practical PyTorch experience. The role spans ML frameworks, compilers, runtimes, drivers, embedded software and performance optimisation, offering opportunities to tackle complex engineering challenges across the ML software ...

AstraZeneca UK Limited is building an Enterprise AI engine to accelerate clinical development. You will lead AI methodology across BioPharmaceuticals, shaping trial design, biomarker strategy, and safety evaluation with rigorous regulatory alignment. The role requires ...

platforms. Our ML Engineering teams are looking for experienced software engineers with strong C++ skills and practical experience with Machine Learning frameworks such as PyTorch . The work sits at the intersection of Machine Learning, software and hardware. Projects span ML frameworks and compilers, runtimes, drivers, embedded software and performance … software and hardware engineers to understand how models execute and where performance and efficiency can be improved. The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software. There will also be opportunities to contribute to technical design, take ownership of larger engineering challenges ...

with ML software and hardware engineers to understand how models execute and where performance and efficiency can be improved.The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software. There will also be opportunities to contribute to technical design, take ownership of larger engineering challenges … using source control, code review, testing and continuous integration.Experience across every part of the ML software stack isn't expected. Knowledge of ML compilers, PyTorch internals, runtimes, drivers, embedded software, performance optimisation or hardware acceleration would be valuable, but we encourage applications from people whose experience doesn't cover every ...