25 of 25 NVIDIA Jobs in England

exchange protocols. Defining and creating MLOPs pipeline Good to Have Skills GenAI Exposure:Experience with LLMs, LangChain, HuggingFace, synthetic data generation, and prompt engineering. Digital Twin Integration:Familiarity with nVidia Omniverse, AWS TwinMaker, Azure Digital Twin or similar platforms and concepts Visualization Tools:Power BI, Grafana, or custom dashboards for operational insights. DevOps & Automation:CI/CD tools (Jenkins, GitHub More ❯

world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. About the role As a ML Performance Engineer in the AI & GPU Performance team you More ❯

opportunity to develop skills with the following tools and platforms: Matlab and Simulink Python Deep Learning libraries (e.g. Pytorch, scikit-learn, ONNX) C/C++ Hardware development boards (e.g. NVIDIA Jetson products) Alongside involvement with departmental activities, you will be part of a wider cohort of summer placements and graduates on the Early Careers Programme; benefits from this include receiving More ❯

We work with large corporate clients to create meaningful AI strategies, build production-ready AI solutions and effectively integrate those solutions in their businesses. Our alliance with OpenAI and NVIDIA (among others) enables us to lead the industry in building valuable, scalable, enterprise-ready solutions for businesses. We're driven by applied R&D, prototyping and AI innovation. Our client More ❯

Job Specification: Solution Architect - NVIDIA Cluster (End-to-End Design & Validation) Location: London (1 day per week onsite) Travel: Occasional travel to datacenter sites outside the UK Engagement: Contract Inside IR35 Department: Engineering/Advanced Compute Role Overview We are seeking a highly skilled Solution Architect with deep experience in designing, validating, and delivering end-to-end NVIDIA GPU clusters … based one day per week , with occasional international travel required to support datacenter design reviews, deployment validation, or site acceptance testing. Key Responsibilities Architecture & Design Lead the architecture of NVIDIA GPU clusters leveraging technologies such as H100/H200 , NVLink, NVSwitch, DGX, HGX, or SuperPod-class designs. Produce high-level and low-level designs (HLD/LLD), including compute, network … ensuring architectural alignment with customer requirements and scalability goals. Design fabric architectures including InfiniBand (200/400Gb) , RoCE, and high-performance east-west traffic patterns. Ensure designs adhere to NVIDIA reference architectures (NVAIE, Base Command, DGX SuperPod specs, etc.). Cluster Integration & Validation Define and execute validation test plans for GPU cluster performance, resilience, networking throughput, and workload behaviour. Oversee More ❯

system testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

system testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

level planning. Configure and extend robotic middleware and interfaces (e.g., ROS 2 or similar) Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs. Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence. Contribute to the full engineering lifecycle, including architecture, lab testing, and documentation. What We More ❯

Overview As a Full Stack Commerce Engineer Manager , you will: Lead client-facing engagements and design AI-powered solutions. Build full-stack applications integrating Generative AI (OpenAI, Google Gemini, Nvidia). Architect data flows across enterprise platforms (DAM, PXM, CDP, CMS, CRMs). Work with cloud platforms (Azure/GCP) and advanced databases (SQL/NoSQL). Mentor teams and More ❯

We work with large corporate clients to create meaningful AI strategies, build production-ready AI solutions and effectively integrate those solutions in their businesses. Our alliance with OpenAI and NVIDIA (among others) enables us to lead the industry in building valuable, scalable, enterprise-ready solutions for businesses. We're driven by applied R&D, prototyping and AI innovation. Our client More ❯

discipline. Proven experience with modern C++ (C++14 or later) Hands-on expertise with ROS2 (Robot Operating System 2). Experience integrating software with embedded or edge computing hardware (e.G. NVIDIA Jetson/Xavier). Exposure to ROS1 migration, simulation tools (e.G. Gazebo, RViz), and project tracking tools such as Jira. This role offers a competitive salary, benefits package, and opportunities More ❯

discipline. Proven experience with modern C++ (C++14 or later) Hands-on expertise with ROS2 (Robot Operating System 2). Experience integrating software with embedded or edge computing hardware (e.G. NVIDIA Jetson/Xavier). Exposure to ROS1 migration, simulation tools (e.G. Gazebo, RViz), and project tracking tools such as Jira. This role offers a competitive salary, benefits package, and opportunities More ❯

discipline. Proven experience with modern C++ (C+ or later) Hands-on expertise with ROS2 (Robot Operating System 2). Experience integrating software with embedded or edge computing hardware (e.G. NVIDIA Jetson/Xavier). Exposure to ROS1 migration, simulation tools (e.G. Gazebo, RViz), and project tracking tools such as Jira. This role offers a competitive salary, benefits package, and opportunities More ❯

challenges. Architect & Build AI-Powered Solutions : Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage More ❯

vision to deploy 3GW of data centre capacity by 2030, the company is building the physical backbone for a new generation of compute-intensive workloads. The business is an NVIDIA Cloud Partner and is a key organisation in the global on-demand GPU market. Your new role As Data Centre Operations Manager, you are the guardian of operational excellence across More ❯

vision to deploy 3GW of data centre capacity by 2030, the company is building the physical backbone for a new generation of compute-intensive workloads. The business is an NVIDIA Cloud Partner and is a key organisation in the global on-demand GPU market. Your new role As Data Centre Operations Manager, you are the guardian of operational excellence across More ❯

is strengthened by visionary entrepreneurs and committed investors. Additionally, we work closely with notable partners and collaborators such as AWS, Boston Dynamics, DJI, Ericsson, Google, Intel, Microsoft, Mitsubishi, Nokia, Nvidia, SAP and many more. Together, we are committed to shaping the future of robotics. Are you passionate about robotics and eager to make a difference? Join us and be part More ❯

models for new domains and 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 life (e.g., flexible vacation time More ❯

Friday, 40hours per week The Person: Buyer, Purchaser, Procurement Specialist or similar PC Parts, Computer Components or IT Hardware background Job Reference: BBBH 22167d Buyer, Procurement, PC, Components, Hardware, Nvidia, AMD, Gaming, Workstation, Build, Microsoft, ASUS, Dell, HP, ASRock, Import, Export, Wirral, Ellesmere Port, Liverpool If you're interested in this role, click 'apply now' to forward an up-to More ❯

of IT solutions, specializing in delivering high-quality products and services to businesses, education, and healthcare sectors. With trusted partnerships with major vendors like HP, Lenovo, Dell, Adobe, and NVIDIA, they are expanding their reach and looking to grow their team. Due to their continued success, they are now seeking a dynamic Sales Executive to join their team, focus on More ❯

series D funding. In total 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. The role... Reporting to the Customer Success Team Lead - you are energetic, driven, and care More ❯

the office. Must-Haves Technical 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 with partners. Strong communicator. You … ML compilers (e.g., CUDA, OpenCL, 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 language models for new domains … and 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 life (e.g., flexible vacation time above any required statutory More ❯

ML Operations platform for a prestigious academic institution. The role requires strong hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run: AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments to ensure successful platform delivery and ongoing operational excellence. Key Responsibilities Deploy and configure a complete AI …/ML Ops platform, including Ubuntu OS, Kubernetes, NVIDIA GPU/Network Operators, and Run: AI orchestration Conduct knowledge transfer, installations, and validate platform performance against AI/ML development requirements Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing updates/patches Deliver technical guidance to researchers and developers while engaging stakeholders to understand evolving requirements … Qualifications & Experience Strong experience deploying and supporting HPC environments for AI/ML workloads Extensive experience in Ubuntu server administration and Kubernetes cluster management experience Hands-on experience with NVIDIA GPU technologies (GPU Operator) and AI/ML orchestration platforms (Run: AI highly desirable) Understanding of networking in containerised environments and experience supporting complex computing infrastructures Strong documentation and knowledge More ❯

ML Operations platform for a prestigious academic institution. The role requires strong hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run: AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments to ensure successful platform delivery and ongoing operational excellence. Key Responsibilities Deploy and configure a complete AI …/ML Ops platform, including Ubuntu OS, Kubernetes, NVIDIA GPU/Network Operators, and Run: AI orchestration Conduct knowledge transfer, installations, and validate platform performance against AI/ML development requirements Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing updates/patches Deliver technical guidance to researchers and developers while engaging stakeholders to understand evolving requirements … Qualifications & Experience Strong experience deploying and supporting HPC environments for AI/ML workloads Extensive experience in Ubuntu server administration and Kubernetes cluster management experience Hands-on experience with NVIDIA GPU technologies (GPU Operator) and AI/ML orchestration platforms (Run: AI highly desirable) Understanding of networking in containerised environments and experience supporting complex computing infrastructures Strong documentation and knowledge More ❯

Location: Central London (3 day on-site per week) Salary: Up to £100,000 (DOE) The Role : Lead referral and co-sell initiatives to capture net-new customers with NVIDIA’s AI and data solutions. Own the full sales cycle from prospecting to closure, aligning internal and partner teams on joint pursuit strategies. Develop territory and account plans targeting new … referral, co-sell, and joint pursuits. Demonstrated success building early-stage pipelines, prospecting greenfield accounts, and closing net-new business. Experience selling AI and data solutions from partners like NVIDIA, IBM, Dell, or NICE. SaaS expertise essential. Deep consultative selling skills to position partner value propositions against customer challenges and competitors. Proficiency in Salesforce or similar CRM for disciplined pipeline More ❯