26 to 42 of 42 NVIDIA Jobs in London

fast in the next decade, ranked as Top 10 in the FORTUNE Future 50 list (other companies who previously appeared on this list include Tesla, Amazon, Shopify, Adobe and NVIDIA). It’s a chance to be part of a huge success story shaping the future of business globally. It's an opportunity to be part of great employee-centric 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 Manage a large portfolio of accounts (>100 accounts) and work with the commercial More ❯

unicorn status. In February 2024, 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. About the role: Are you ready to play a key role in shaping the future 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 Principal Product Manager, you will own the vision and strategy 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 Senior Director of Customer Success and focusing on accounts in More ❯

targets are met. W ork with customers and multiple stakeholders to understand requirements and challenges, provide reporting on usage, workflow and billing. Technical responsibilities Cluster Infrastructure management: Managing the Nvidia GPU cluster.? High availability and resilience: Implement failover strategies and manage maintenance events to minimize downtime. Resource allocation and optimization: Resource partitioning (GPU resources), workload scheduling, capacity planning Performance monitoring … and troubleshooting: Performance analysis, monitoring ( Realtime) with available Nvidia and HPE tools? Incident response: node failure management, network issues, driver issues, troubleshooting common issues and then working with vendor support to resolve any critical issues. Security and access control: Manage user permissions, RBAC, security hardening, data protection.? Required Skills & Experience 10 years of experience (or equivalent) in technical support, system … and data scientists , and how to optimize the experience. Core Technical skills: System administration experience with OS's like RHEL/CentOS, Ubuntu, tuning Linux kernel Proficiency with Ansible, Nvidia and CUDA toolkits, Kubernetes, and container orchestration Understanding of automation, monitoring, and security with GPU as a service Preferred experience Experience supporting HPE PCAI or other AI/HPC infrastructure More ❯

Collaborate with GTM and sales teams during pre-sales cycles, workshops, and proof-of-concepts. AI and ML Engineering Implement, optimise, and deploy models using PyTorch , HuggingFace , LangChain , and NVIDIA Triton . Execute fine-tuning and evaluation of foundation models for domain-specific use cases. Package and deploy models into scalable inference endpoints (REST/gRPC APIs, containerised or GPU … C++). Deep understanding of vector databases , embeddings , and semantic search . Experience working directly with enterprise customers and translating technical concepts into business value. Preferred Experience Exposure to NVIDIA AI Enterprise , HPE Private Cloud AI , or other enterprise AI platforms. Familiarity with UK regulatory and compliance frameworks (data sovereignty, ISO 27001, SOC 2). Knowledge of GPU optimisation and More ❯

the-art high-performance computing environment (HPC). 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 Shadow vendor installations, conduct knowledge transfer, 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 … Required Qualifications & Experience: Strong experience deploying and supporting HPC environments for AI/ML workloads Strong Ubuntu server administration and extensive 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 ❯

the-art high-performance computing environment (HPC). 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 Shadow vendor installations, conduct knowledge transfer, 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 … Required Qualifications & Experience: Strong experience deploying and supporting HPC environments for AI/ML workloads Strong Ubuntu server administration and extensive 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 ❯

the-art high-performance computing environment (HPC). 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 Shadow vendor installations, conduct knowledge transfer, 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 … Required Qualifications & Experience: Strong experience deploying and supporting HPC environments for AI/ML workloads Strong Ubuntu server administration and extensive 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 ❯

the-art high-performance computing environment (HPC). 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 Shadow vendor installations, conduct knowledge transfer, 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 … Required Qualifications & Experience: Strong experience deploying and supporting HPC environments for AI/ML workloads Strong Ubuntu server administration and extensive 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 ❯

Services & AI Platforms company, has seen 2.5x growth YoY since its inception in 2013 Headquartered in Boston, with 3300+ data science professionals across 11 global offices Winner of 3X NVIDIA AI Partner of the year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI …/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms Recognized as an AIFinTech100 Company, 2022 by InsurTech Winner of Best in Business Award in Established Business category by INC., 2022 Winner of Competitive More ❯

Services & AI Platforms company, has seen 2.5x growth YoY since its inception in 2013 Headquartered in Boston, with 3300+ data science professionals across 11 global offices Winner of 3X NVIDIA AI Partner of the year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI …/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms Recognized as an AIFinTech100 Company, 2022 by InsurTech Winner of Best in Business Award in Established Business category by INC., 2022 Winner of Competitive More ❯

Services & AI Platforms company, has seen 2.5x growth YoY since its inception in 2013 Headquartered in Boston, with 3300+ data science professionals across 11 global offices Winner of 3X NVIDIA AI Partner of the year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI …/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms Recognized as an AIFinTech100 Company, 2022 by InsurTech Winner of Best in Business Award in Established Business category by INC., 2022 Winner of Competitive More ❯

Services & AI Platforms company, has seen 2.5x growth YoY since its inception in 2013 Headquartered in Boston, with 3300+ data science professionals across 11 global offices Winner of 3X NVIDIA AI Partner of the year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI …/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms Recognized as an AIFinTech100 Company, 2022 by InsurTech Winner of Best in Business Award in Established Business category by INC., 2022 Winner of Competitive More ❯

practices Support platform onboarding, configuration, and usage guidance Collaborate with infrastructure and AI engineering teams on integrations and performance improvements Maintain SLAs and ensure customer satisfaction Technical Focus Manage Nvidia GPU clusters and related infrastructure Implement failover, resilience, and resource optimization strategies Oversee capacity planning and workload scheduling Monitor performance using Nvidia and HPE tools Manage incident response, node failures More ❯

practices Support platform onboarding, configuration, and usage guidance Collaborate with infrastructure and AI engineering teams on integrations and performance improvements Maintain SLAs and ensure customer satisfaction Technical Focus Manage Nvidia GPU clusters and related infrastructure Implement failover, resilience, and resource optimization strategies Oversee capacity planning and workload scheduling Monitor performance using Nvidia and HPE tools Manage incident response, node failures More ❯