26 to 32 of 32 ONNX Jobs in the UK

Nsight, torch profiler, custom tooling). Deep understanding of transformer architectures and attention mechanisms. Nice to Have Experience with compilers and exporters (torch.compile, TensorRT, ONNX, XLA). Experience optimizing inference workloads for latency and throughput. Triton compiler and kernel fusion techniques. Knowledge of warp-level intrinsics and advanced CUDA optimization. ...

specific needs. Dive deep into the entire stack, from Kubernetes and container orchestration, through gRPC‐based service communication, to the performance tuning of ONNX‐based inference on GPU‐accelerated hardware. Write clean, efficient, and rigorously tested code. We value simplicity, correctness, and peer review. What you'll bring … challenges of managing the lifecycle of models in a multi‐tenant, high‐availability system. Familiarity with building ML inference services, model serialization (e.g., ONNX), and GPU programming (CUDA). You've built or worked on custom storage or job‐queueing systems before and have the scars to prove it. Maybe ...

precision reduction, profiling and debugging 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 ...

best practices for secrets management, dependency scanning, and secure artifact storage. Required Skills & Experience ML Frameworks : Expert in TensorFlow (TF2/Keras), experience with ONNX Runtime for inference. Programming : Advanced Python for ML; strong understanding of packaging, type checking, and performance profiling. APIs : Proficiency in gRPC/Protobuf and REST … cuDNN), mixed precision, XLA, profiling. Observability : Metrics, tracing, structured logging, dashboards. Security : SBOM, image signing, role-based access, vulnerability scanning. Preferred Qualifications Experience with ONNX Runtime Training, PyTorch, or hybrid ML architectures. Familiarity with distributed training strategies and multi-GPU setups. Knowledge of feature stores and data validation frameworks. Exposure ...

models, workloads and application use cases, and translating these into future software and hardware requirements. Working across ecosystems including PyTorch, ExecuTorch, LiteRT and ONNX , plus associated compilers, runtimes and kernel libraries. Evaluating emerging technologies and industry trends to understand their implications for Arm. Required Skills and Experience We are looking … modern AI models and workloads is also required. Candidates should understand the computational characteristics that determine performance on hardware. Familiarity with PyTorch, ExecuTorch, LiteRT, ONNX or ONNX Runtime is important. We also value: Understanding of how AI workloads move through graphs, compilers, runtimes and kernels to hardware. Strong C/ ...

training, integration, export, and deployment. Build technical demos and rapid prototypes using Python, OpenCV, PyTorch, and Docker. Support model export and INT8 quantization across ONNX, TensorRT, OpenVINO, QNN, and LiteRT. Help partners deploy across Linux, macOS, and Windows, and document clear implementation guidance. Technical collaboration Work side by side with … requirements Experience in computer vision and AI, with practical knowledge of Python, YOLO, OpenCV, and PyTorch. Experience training, exporting, and deploying models; familiarity with ONNX, TensorRT, OpenVINO, QNN, LiteRT, and INT8 quantization. Proven ability to lead partner‐facing technical calls, scope work, and deliver demos or solution architectures. Experience reviewing ...

edge hardware, sensor throughput, acquisition reliability, and runtime options for real inspection workloads, including latency, memory use, thermal behaviour, maintainability, and deployment constraints. Support ONNX Runtime, TensorRT, OpenVINO, quantization, and standard edge deployment profiles in collaboration with ML and software engineers. Build and maintain portable innovation demos, including tabletop demo … stereo/depth cameras, 3D profile sensors, high-speed cameras, smart cameras, hyperspectral, thermal, X-ray, acoustic, or related industrial sensing technologies. Experience with ONNX Runtime, TensorRT, OpenVINO, model quantization, model export, or edge inference optimization. C or C++ experience for lower-level hardware, camera SDK, edge runtime, or performance ...