201 to 225 of 429 NVIDIA Jobs in England

Experience marketing to AI labs, GPU buyers, DevOps teams, or enterprise R&D Familiarity with cloud-native technologies, LLM infrastructure, or ecosystem players like NVIDIA, Hugging Face, or MLOps vendors Background in partner or channel marketing Working knowledge of SEO, SEM, and campaign analytics Benefits Competitive total compensation package (cash More ❯

G2 named us as the fastest growing company in the world. We've raised over $150M in funding from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. The role: Respond to customer inquiries via email, chat, or More ❯

how to apply them to novel GenAI applications. Embedded experience . When it comes to optimizing, deploying and monitoring ML models for SoCs e.g. Nvidia, Qualcomm, etc., you know how it all works. Our Role Champion work-life harmony . We'll give you the flexibility you need in your More ❯

how to apply them to novel GenAI applications. Embedded experience . When it comes to optimizing, deploying and monitoring ML models for SoCs e.g. Nvidia, Qualcomm, etc., you know how it all works. Our Role Champion work-life harmony . We'll give you the flexibility you need in your 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 Synthesia is seeking an experienced SaaS Sales More ❯

to deliver best-in-class solutions. Technical requirements: Strong technical skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise … in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in this role and feel you fit some of the More ❯

to deliver best-in-class solutions. Technical requirements: Strong technical skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise … in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in this role and feel you fit some of the More ❯

to deliver best-in-class solutions. Technical requirements: Strong technical skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise … in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in this role and feel you fit some of the More ❯

to deliver best-in-class solutions. Technical requirements: Strong technical skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise … in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in this role and feel you fit some of the More ❯

not currently required, flexible working is supported. Required Qualifications Strong experience with C++ and Python . Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS . Demonstrated success in building and maintaining production-scale AI/ML systems . A track record of collaborating with product … as: Developing GPU kernels or ML compilers (e.g., CUDA, OpenCL, TensorRT Plugins, MLIR, TVM ). System optimization for latency and utilization , using tools like Nvidia NSight . Working with embedded SoCs (e.g., Nvidia, Qualcomm). What You’ll Get Flexibility and Balance : A range of benefits to support work-life More ❯

not currently required, flexible working is supported. Required Qualifications Strong experience with C++ and Python . Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS . Demonstrated success in building and maintaining production-scale AI/ML systems . A track record of collaborating with product … as: Developing GPU kernels or ML compilers (e.g., CUDA, OpenCL, TensorRT Plugins, MLIR, TVM ). System optimization for latency and utilization , using tools like Nvidia NSight . Working with embedded SoCs (e.g., Nvidia, Qualcomm). What You’ll Get Flexibility and Balance : A range of benefits to support work-life More ❯

not currently required, flexible working is supported. Required Qualifications Strong experience with C++ and Python . Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS . Demonstrated success in building and maintaining production-scale AI/ML systems . A track record of collaborating with product … as: Developing GPU kernels or ML compilers (e.g., CUDA, OpenCL, TensorRT Plugins, MLIR, TVM ). System optimization for latency and utilization , using tools like Nvidia NSight . Working with embedded SoCs (e.g., Nvidia, Qualcomm). What You’ll Get Flexibility and Balance : A range of benefits to support work-life More ❯

communication and collaboration skills to work effectively in multidisciplinary teams.• Knowledge of ethical AI practices and laws is a plus. Preferred Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such More ❯

communication and collaboration skills to work effectively in multidisciplinary teams.• Knowledge of ethical AI practices and laws is a plus. Preferred Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such More ❯

communication and collaboration skills to work effectively in multidisciplinary teams.• Knowledge of ethical AI practices and laws is a plus. Preferred Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such More ❯

communication and collaboration skills to work effectively in multidisciplinary teams.• Knowledge of ethical AI practices and laws is a plus. Preferred Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such More ❯

What will I be doing: Darktrace is seeking an experienced Infrastructure Engineer to manage, maintain, and optimize a dedicated NVIDIA GPU server and cloud environments for innovation projects. Responsibilities include setting up, configuring, and maintaining the servers and software stack. A successful candidate will work directly with Darktrace researchers and … the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python etc) for machine learning projects as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and ensuring optimal performance) and cloud infrastructure for GPU compute projects (managing access and ensuring optimal … have experience with server virtualization technologies and containerization and well versed with the linux operating system. You'll also ideally have: Strong knowledge of NVIDIA HGX server architectures and components, Strong knowledge of AWS or Azure Cloud environments, Experience with NVIDIA GPU technologies, such as NVLink, NVSwitch, and Tensor Core More ❯

for an ever-changing future. What will I be doing: Darktrace is seeking an experienced Infrastructure Engineer to manage, maintain, and optimize a dedicated NVIDIA GPU server and cloud environments for innovation projects. Responsibilities include setting up, configuring, and maintaining the servers and software stack. A successful candidate will work … the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python etc) for machine learning projects as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and ensuring optimal performance) and cloud infrastructure for GPU compute projects (managing access and ensuring optimal … have experience with server virtualization technologies and containerization and well versed with the linux operating system. You'll also ideally have: Strong knowledge of NVIDIA HGX server architectures and components, Strong knowledge of AWS or Azure Cloud environments, Experience with NVIDIA GPU technologies, such as NVLink, NVSwitch, and Tensor Core More ❯

expertise. You have hands-on experience in C++, Python, and several of the following areas: Kubernetes, PyTorch, MLOps (automated re-training, drift monitoring), TensorRT, Nvidia DeepStream/Gstreamer, and AWS. A proven track record. You know how to focus on products, delivering impactful AI/ML products through close collaboration … TensorRT Plugins, MLIR, TVM, etc). Real-time experience. You've optimized systems to meet strict utilization and latency requirements with tools such as Nvidia NSight. Embedded experience. You've used embedded SoCs, e.g., Nvidia Jetson, Qualcomm, etc. Foundational models experience. You've fine-tuned visual language models or large … know how to apply them to novel GenAI applications. Embedded experience. When it comes to optimizing, deploying and monitoring ML models for SoCs e.g. Nvidia, Qualcomm, etc., you know how it all works. Our Role Champion work-life harmony. We'll give you the flexibility you need in your work More ❯

and Experience: Proficiency in C++ with a strong focus on memory management, multi-threading, and low-level performance optimizations. Experience with GPU architectures (e.g., NVIDIA, AMD) and programming frameworks like CUDA, OpenCL, and TensorFlow. Understanding of machine learning algorithms, including model training and inference, and how to optimize these for … GPU-based computation. Strong knowledge of parallel computing, vectorization, and multi-core systems for high-performance computing (HPC). Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a More ❯

and Experience: Proficiency in C++ with a strong focus on memory management, multi-threading, and low-level performance optimizations. Experience with GPU architectures (e.g., NVIDIA, AMD) and programming frameworks like CUDA, OpenCL, and TensorFlow. Understanding of machine learning algorithms, including model training and inference, and how to optimize these for … GPU-based computation. Strong knowledge of parallel computing, vectorization, and multi-core systems for high-performance computing (HPC). Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a More ❯

and Experience: Proficiency in C++ with a strong focus on memory management, multi-threading, and low-level performance optimizations. Experience with GPU architectures (e.g., NVIDIA, AMD) and programming frameworks like CUDA, OpenCL, and TensorFlow. Understanding of machine learning algorithms, including model training and inference, and how to optimize these for … GPU-based computation. Strong knowledge of parallel computing, vectorization, and multi-core systems for high-performance computing (HPC). Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a More ❯

Job Title: Solution Architect – AI Data Center Deployment (Dell & NVIDIA DGX) Location: United Kingdom Reporting to: Program Director/CTO Overview We are looking for a highly skilled and execution-driven Solution Architect to support the design, integration, and rollout of AI-optimized data centers across global sites. This contract … ideal for a hands-on architect with a deep understanding of AI infrastructure, data center deployment, and proven experience working with Dell hardware and NVIDIA DGX systems . The successful candidate will serve as the technical backbone for AI pod deployments, collaborating with internal and external stakeholders to deliver scalable … rack elevation, power/cooling design, and high-performance compute configurations. Design scalable and modular infrastructures built around Dell server/storage platforms and NVIDIA DGX clusters . GPU Pod Deployment & Commissioning Lead the deployment of AI GPU pods , ensuring infrastructure readiness for NVIDIA-led commissioning . Oversee hardware integration More ❯

Job Title: Solution Architect – AI Data Center Deployment (Dell & NVIDIA DGX) Location: United Kingdom Reporting to: Program Director/CTO Overview We are looking for a highly skilled and execution-driven Solution Architect to support the design, integration, and rollout of AI-optimized data centers across global sites. This contract … ideal for a hands-on architect with a deep understanding of AI infrastructure, data center deployment, and proven experience working with Dell hardware and NVIDIA DGX systems . The successful candidate will serve as the technical backbone for AI pod deployments, collaborating with internal and external stakeholders to deliver scalable … rack elevation, power/cooling design, and high-performance compute configurations. Design scalable and modular infrastructures built around Dell server/storage platforms and NVIDIA DGX clusters . GPU Pod Deployment & Commissioning Lead the deployment of AI GPU pods , ensuring infrastructure readiness for NVIDIA-led commissioning . Oversee hardware integration More ❯

Job Title: Solution Architect – AI Data Center Deployment (Dell & NVIDIA DGX) Location: United Kingdom Reporting to: Program Director/CTO Overview We are looking for a highly skilled and execution-driven Solution Architect to support the design, integration, and rollout of AI-optimized data centers across global sites. This contract … ideal for a hands-on architect with a deep understanding of AI infrastructure, data center deployment, and proven experience working with Dell hardware and NVIDIA DGX systems . The successful candidate will serve as the technical backbone for AI pod deployments, collaborating with internal and external stakeholders to deliver scalable … rack elevation, power/cooling design, and high-performance compute configurations. Design scalable and modular infrastructures built around Dell server/storage platforms and NVIDIA DGX clusters . GPU Pod Deployment & Commissioning Lead the deployment of AI GPU pods , ensuring infrastructure readiness for NVIDIA-led commissioning . Oversee hardware integration More ❯