26 to 50 of 103 NVIDIA Jobs in the UK

to apply the right computer vision techniques and critically evaluate their advantages. Desirable Skills: Experience deploying AI software in edge computing environments, especially on Nvidia Jetson hardware. Background in sectors such as automotive computer vision or other real-time, high-reliability fields. Ability to design appropriate AI models based on More ❯

machine learning. Experience with machine learning frameworks (e.g. PyTorch, TensorFlow). Hands-on proficiency in C++ and Python. Familiarity with robotic simulation environments (e.g. NVIDIA Omniverse, MuJoCo, PyBullet). Solid grasp of real-world constraints in robotic perception and manipulation. Strong communication and collaboration skills. Preferred Qualifications Experience implementing, testing More ❯

Hardware Accelerator, TVM, or Code-gen Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central More ❯

machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary dependent on experience Package of attractive benefits including private medical insurance and monthly travel card You will More ❯

skills. Ability to mentor and guide a team of engineers. Experience with ML deployment pipelines. Experience with embedded SoCs used in automotive environments, e.g. Nvidia, Qualcomm, Renesas, etc. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so More ❯

R&D environment Exposure to machine vision, autonomy, or advanced payload systems Hands-on experience deploying real-time perception, autonomy, or control software on NVIDIA Jetson (Xavier/Orin) or other GPU-accelerated edge platforms, including CUDA/TensorRT optimisation. Fluency with embedded Linux (Ubuntu & Yocto), kernel configuration, and shell More ❯

we've raised over $330M in funding from top-tier investors, including NEA, Atlassian Ventures, WiL, PSP Growth, and existing investors such as Accel, Nvidia, Kleiner Perkins, GV and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the role As a Team Lead you will join More ❯

time situational awareness. Collaborate with a fast-growing team of engineers, researchers, and domain experts. Work on edge and embedded deployments using platforms like Nvidia Jetson and Raspberry Pi. Play a key role in shaping technical direction and future product capabilities. You’ll Need: 5+ years of experience in AI More ❯

time situational awareness. Collaborate with a fast-growing team of engineers, researchers, and domain experts. Work on edge and embedded deployments using platforms like Nvidia Jetson and Raspberry Pi. Play a key role in shaping technical direction and future product capabilities. You’ll Need: 5+ years of experience in AI More ❯

working with C+ and Linux Extensive experience with ROS1/ROS2 (Robot Operating System) Familiarity with UML, microcontroller programming, embedded devices for robotics (e.G., NVIDIA Xavier/Jetson), Docker, Jira is beneficial This role offers a competitive salary and benefits package. You will join a pioneering technology company with excellent More ❯

working with C++14 and Linux Extensive experience with ROS1/ROS2 (Robot Operating System) Familiarity with UML, microcontroller programming, embedded devices for robotics (e.G., NVIDIA Xavier/Jetson), Docker, Jira is beneficial This role offers a competitive salary and benefits package. You will join a pioneering technology company with excellent More ❯

love to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with More ❯

love to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with More ❯

love to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with More ❯

Role: Linux Engineer Location: Remote – Sheffield Salary: Up to £45,000 plus an excellent benefits package HPC, Linux Systems Admin, Supercomputing, Scripting, UNIX, Linux, Nvidia, GPU, Slurm, Torque, GPFS, Lustre Chapman Tate Associates seeks a Linux Technical Consultant to join this established technology house that deliver a range of AI More ❯

Role: Linux Engineer Location: Remote – Sheffield Salary: Up to £45,000 plus an excellent benefits package HPC, Linux Systems Admin, Supercomputing, Scripting, UNIX, Linux, Nvidia, GPU, Slurm, Torque, GPFS, Lustre Chapman Tate Associates seeks a Linux Technical Consultant to join this established technology house that deliver a range of AI More ❯

Cloud Platforms (AWS, Azure, GCP) for model deployment and scaling. Understanding of Edge Computing and on-device model optimization (TensorRT, ONNX). Knowledge of NVIDIA CUDA for GPU acceleration. WANDB and MLflow for training monitoring. Contributions to open-source computer vision or deep learning projects. What We Offer Competitive Compensation More ❯

Cloud Platforms (AWS, Azure, GCP) for model deployment and scaling. Understanding of Edge Computing and on-device model optimization (TensorRT, ONNX). Knowledge of NVIDIA CUDA for GPU acceleration. WANDB and MLflow for training monitoring. Contributions to open-source computer vision or deep learning projects. What We Offer Competitive Compensation More ❯

Cloud Platforms (AWS, Azure, GCP) for model deployment and scaling. Understanding of Edge Computing and on-device model optimization (TensorRT, ONNX). Knowledge of NVIDIA CUDA for GPU acceleration. WANDB and MLflow for training monitoring. Contributions to open-source computer vision or deep learning projects. What We Offer Competitive Compensation More ❯

event-driven architecture Infrastructure as Code (Terraform, Bicep, Pulumi) DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor) Bonus: Exposure to NVIDIA ML stack, cuDF/cuPy, AR/VR or neuromorphic computing What You’ll Get Competitive salary + potential for equity if hired full-time More ❯

event-driven architecture Infrastructure as Code (Terraform, Bicep, Pulumi) DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor) Bonus: Exposure to NVIDIA ML stack, cuDF/cuPy, AR/VR or neuromorphic computing What You'll Get Competitive salary + potential for equity if hired full-time More ❯

with a modern cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge More ❯

architectures. Good knowledge of common ML algorithms. Version Control & CI/CD: Familiarity with Git, DevOps pipelines, and automated deployment workflows Working knowledge of nVidia tech stack. Desirable Skills Experience in AI for finance, healthcare, legal, or other highly regulated industries. Familiarity with AI ethics frameworks (e.g., EU AI Act More ❯

architectures. Good knowledge of common ML algorithms. Version Control & CI/CD: Familiarity with Git, DevOps pipelines, and automated deployment workflows Working knowledge of nVidia tech stack. Desirable Skills Experience in AI for finance, healthcare, legal, or other highly regulated industries. Familiarity with AI ethics frameworks (e.g., EU AI Act More ❯

Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in More ❯