76 to 100 of 430 NVIDIA Jobs in England

eager to grow in computer vision and AI. Key Responsibilities: Optimise video processing pipelines for real-time inference using Python programming. Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing. Develop APIs with FastAPI for computer vision applications. Implement CI/CD pipelines for cloud and edge deployments. Collaborate to integrate More ❯

eager to grow in computer vision and AI. Key Responsibilities: Optimise video processing pipelines for real-time inference using Python programming. Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing. Develop APIs with FastAPI for computer vision applications. Implement CI/CD pipelines for cloud and edge deployments. Collaborate to integrate More ❯

eager to grow in computer vision and AI. Key Responsibilities: Optimise video processing pipelines for real-time inference using Python programming. Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing. Develop APIs with FastAPI for computer vision applications. Implement CI/CD pipelines for cloud and edge deployments. Collaborate to integrate More ❯

eager to grow in computer vision and AI. Key Responsibilities: Optimise video processing pipelines for real-time inference using Python programming. Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing. Develop APIs with FastAPI for computer vision applications. Implement CI/CD pipelines for cloud and edge deployments. Collaborate to integrate More ❯

eager to grow in computer vision and AI. Key Responsibilities: Optimise video processing pipelines for real-time inference using Python programming. Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing. Develop APIs with FastAPI for computer vision applications. Implement CI/CD pipelines for cloud and edge deployments. Collaborate to integrate More ❯

eager to grow in computer vision and AI. Key Responsibilities: Optimise video processing pipelines for real-time inference using Python programming. Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing. Develop APIs with FastAPI for computer vision applications. Implement CI/CD pipelines for cloud and edge deployments. Collaborate to integrate More ❯

eager to grow in computer vision and AI. Key Responsibilities: Optimise video processing pipelines for real-time inference using Python programming. Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing. Develop APIs with FastAPI for computer vision applications. Implement CI/CD pipelines for cloud and edge deployments. Collaborate to integrate 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Desirable: Experience with C++ and ML frameworks such as PyTorch. Familiarity with ML deployment pipelines. Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas). Benefits The company offers a comprehensive benefits package, including: A hybrid working policy that combines in-office collaboration with remote flexibility. Opportunities More ❯

Desirable: Experience with C++ and ML frameworks such as PyTorch. Familiarity with ML deployment pipelines. Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas). Benefits The company offers a comprehensive benefits package, including: A hybrid working policy that combines in-office collaboration with remote flexibility. Opportunities More ❯

Desirable: Experience with C++ and ML frameworks such as PyTorch. Familiarity with ML deployment pipelines. Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas). Benefits The company offers a comprehensive benefits package, including: A hybrid working policy that combines in-office collaboration with remote flexibility. Opportunities More ❯

Desirable: Experience with C++ and ML frameworks such as PyTorch. Familiarity with ML deployment pipelines. Knowledge of embedded SoCs used in automotive environments (e.g., Nvidia, Qualcomm, Renesas). Benefits The company offers a comprehensive benefits package, including: A hybrid working policy that combines in-office collaboration with remote flexibility. Opportunities More ❯

GPUs across Europe, catering to enterprises requiring high-performance compute power for AI and machine learning workloads. With strong partnerships with industry giants like Nvidia and AMD, they are poised for significant growth and are seeking a talented Senior Analyst to join their dynamic team. Role Overview: As a Senior 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 ❯

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 ❯