26 to 50 of 111 CUDA Jobs in England

systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep knowledge of GPU architecture , CUDA, and hardware-level performance optimization. Familiarity with Document Intelligence frameworks (OCR, layout analysis, and multimodal extraction). MUST be fluent in Mandarin OR Cantonese ...

modern inference frameworks (e.g., vLLM, Triton, TensorRT‐LLM, Ray Serve, or TorchServe). Deep experience with GPU systems engineering and hardware performance optimisation (e.g., CUDA, NCCL, RDMA, NUMA, or GPU interconnects). Direct exposure to large‐scale AI/ML infrastructure or hyperscale cloud environments. Wondering ...

large-scale AI, machine learning, or distributed computing platforms in enterprise environments. Deep understanding of LLM architectures and their interaction with GPU infrastructure, including CUDA, cuDNN, NCCL, kernel-level acceleration libraries, and distributed training frameworks such as PyTorch. Strong knowledge of distributed training and inference strategies, including tensor, pipeline ...

Dutch, Swedish, Norwegian, Danish, or Finnish is a plus. Preferred Familiarity with NVIDIA GPU architectures (H100, A100, H200) and the software stack around them: CUDA, NCCL, cuDNN. Working knowledge of high-performance networking concepts: InfiniBand, RDMA, RoCE, TCP/IP. Background working directly with AI labs, research institutions ...

compatible storage. Nice to Have Modern networking stacks including RDMA (RoCE, InfiniBand, NVLink). High-performance large-scale ML systems (100+ GPUs). CUDA, and FFmpeg or multimedia processing. About Luma: Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical ...

happy picking up new tech and methods Willingness to travel occasionally, UK and abroad Nice to have: Qt, Python/bash scripting, OpenCV, CUDA, experience on real-time or mission-critical software. Why it's worth a look 4½ day working week Real variety: code, maths, hardware, trials Joining ...

PyTorch ecosystemExperience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architecturesStrong software engineering skills, including Python, CUDA and building reliable systems for machine learning workloadsStrong communication skills, with the ability to collaborate across research, infrastructure and engineering teamsWhy join us? Highly competitive compensation ...

these — as long as you're open to learning, Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture — most of the team works from our London ...

PyTorch ecosystem Experience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architectures Strong software engineering skills, including Python, CUDA and building reliable systems for machine learning workloads Strong communication skills, with the ability to collaborate across research, infrastructure and engineering teams Why join ...

these — as long as you're open to learning. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture — most of the team works from our London ...

Some Linux administration; understanding setup for HPC middleware. Nice to Haves: 5+ years HPC application experience Experience building and running HPC applications on GPU. CUDA or OpenACC or OpenMP paradigms. Experience running AI models on CPU or GPU. Any experience understanding/inspecting/writing assembly Understanding of memory ...

Some Linux administration; understanding setup for HPC middleware. Nice to Haves: 5+ years HPC application experience Experience building and running HPC applications on GPU. CUDA or OpenACC or OpenMP paradigms. xehkeey Experience running AI models on CPU or GPU. Any experience understanding/inspecting/writing assembly Understanding ...

complex APIs, third-party libraries, and scalable data pipelines. Desirables: Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). If this ...

equivalent safety standards. Experience working with state-machine-driven supervisors and fault-management systems. Experience with NVIDIA Jetson, CUDA or GPU-accelerated processing . Experience with Yocto and embedded Linux board-support packages. Experience with systemd, sd_notify, D-Bus and journald. Experience with OpenSSL, TensorRT or similar external ...

equivalent safety standards. Experience working with state-machine-driven supervisors and fault-management systems. Experience with NVIDIA Jetson, CUDA or GPU-accelerated processing. Experience with Yocto and embedded Linux board-support packages. Experience with systemd, sd_notify, D-Bus and journald. Experience with OpenSSL, TensorRT or similar external technologies. ...

equivalent safety standards. Experience working with state-machine-driven supervisors and fault-management systems. Experience with NVIDIA Jetson, CUDA or GPU-accelerated processing . Experience with Yocto and embedded Linux board-support packages. Experience with systemd, sd_notify, D-Bus and journald. Experience with OpenSSL, TensorRT or similar external ...

reasoning, collaboration, and communication with trading researchers. Intellectual curiosity, originality, practical judgement, and reliable availability. Useful experience: high-performance computing, distributed large-model training, CUDA or ROCm optimisation, end-to-end model development, and ML research/tooling/infrastructure best practices. International candidates are encouraged to apply. Jump ...

understanding of packaging, type checking, and performance profiling. APIs : Proficiency in gRPC/Protobuf and REST for cross-language integration. Performance Optimization : GPU acceleration (CUDA/cuDNN), mixed precision, XLA, profiling. Observability : Metrics, tracing, structured logging, dashboards. Security : SBOM, image signing, role-based access, vulnerability scanning. Preferred Qualifications Experience ...

systems Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus Strong engineering skills, including Python, CUDA, or C++ Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN ...

forecasting tools, Python or spreadsheet-based, from research, a thesis, a placement, or serious personal projects Hands-on work with GPU or accelerator code, CUDA or similar Familiarity with profiling tools (Nsight, PyTorch Profiler) and ideally some exposure to monitoring stacks (Prometheus, Grafana) Strong Python for data work, Pandas ...

through evaluation. Desirable Skills & Experience Experience training, fine-tuning or optimising foundation models. Experience with large-scale distributed training and experimentation. Experience with JAX, CUDA or other high-performance ML tooling. Publications at leading machine learning conferences or journals. Contributions to open-source machine learning or reinforcement learning projects. ...

Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). ...

range widely, and include: Scientific tools Embedded C/C++ (typically owned by dedicated firmware engineers, but software engineers are welcome to learn!) Linux, CUDA, Server engineering for our AI safety, - security, and verification work Custom simulation software (usually python) Data analysis pipelines (python) What is it like ...

engineering problems. Please note that visa sponsorship is not available for this contractor role. Desired: Experience with GPU or NPU programming environments such as CUDA, ROCm, OpenCL or CANN/Ascend. Experience with AI frameworks or inference/serving systems such as PyTorch, vLLM, SGLang, ONNX Runtime, or similar ...

recruitment. Building engineering teams through hiring, onboarding, mentoring or capability development. Open-source development or large software projects with complex dependencies. Vulkan, OpenCL, CUDA, DirectX, Metal or similar graphics and compute APIs. Machine learning frameworks, inference runtimes or model tooling. CI/CD, CMake, cross-compilation, packaging or developer ...