On Bonuses Requirements: 5 to 10 years in Network Operations experience 2nd line escalation/SME network support experience Recent experience within an investment firm Vendors – Arista, Cisco, Corvil, Nvidia (All not necessary, but the more the better) Python/Golang for Network Automation Proven experience with low latency networking Monitoring and observability tooling such as Nagios, Solarwinds, Prometheus, Alertmanager …/DevOps tools such as Ansible, GitOps, CI/CD Exposure to vendor management Bonus: CCNA/CCNP, CCA/CCE, Arista ACE Level 1/2/3, Nvidia NCA-ALLO, Computing BSc, Networking BSc, Networking MSc More ❯
successful candidate will increase efficiency of training jobs in order to allow Wayve to train larger models faster. Key responsibilities: Profile training jobs to identify their bottlenecks, e.g. using NVIDIA Nsight Systems Design and implement efficiency improvements to maximise MFU, e.g. tensor parallelism, model compilation, mixed precision Design and implement observability tools, e.g. to track MFU Collaborate closely with Research … BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience Desirable Solid experience working with concurrent, parallel and distributed computing. Experience using Nvidia NSight Systems. Experience implementing GPU kernels. Knowledge of computing fundamentals - what makes code fast, secure and reliable. This is a full-time role based in our office in London. At More ❯
optimising a high-performance platform purpose-built for AI, ML, LLM and Generative AI workloads. You will lead on architecture, deployment and performance tuning using technologies such as Kubernetes, NVIDIA Run:AI, Ubuntu, Weka NeuralMesh and HGX B200 GPU nodes. Once live, you will take ownership of the platform’s operation and evolution, ensuring it delivers consistent world-class performance … most advanced AI and HPC platform projects • Build and then support a world-class infrastructure enabling AI, ML, LLM and Generative AI research • Collaborate with global technology leaders including NVIDIA, HPE, Canonical and Weka • Onsite role in Kensington, London within a pioneering research and innovation environment • Salary up to £80,000 with excellent opportunities for growth in HPC and AI … scale HPC environment • Installing and optimising Ubuntu (Canonical) across GPU and non-GPU compute nodes • Implementing and managing Kubernetes for container orchestration and performance at scale • Installing and configuring NVIDIA GPU Operator, Network Operator and Run:AI orchestration platform • Integrating Run:AI with Kubernetes clusters to deliver scalable GPU utilisation • Supporting deployment of HGX B200 GPU nodes (96 NVIDIA B200 More ❯
optimising a high-performance platform purpose-built for AI, ML, LLM and Generative AI workloads. You will lead on architecture, deployment and performance tuning using technologies such as Kubernetes, NVIDIA Run:AI, Ubuntu, Weka NeuralMesh and HGX B200 GPU nodes. Once live, you will take ownership of the platform’s operation and evolution, ensuring it delivers consistent world-class performance … most advanced AI and HPC platform projects • Build and then support a world-class infrastructure enabling AI, ML, LLM and Generative AI research • Collaborate with global technology leaders including NVIDIA, HPE, Canonical and Weka • Onsite role in Kensington, London within a pioneering research and innovation environment • Salary up to £80,000 with excellent opportunities for growth in HPC and AI … scale HPC environment • Installing and optimising Ubuntu (Canonical) across GPU and non-GPU compute nodes • Implementing and managing Kubernetes for container orchestration and performance at scale • Installing and configuring NVIDIA GPU Operator, Network Operator and Run:AI orchestration platform • Integrating Run:AI with Kubernetes clusters to deliver scalable GPU utilisation • Supporting deployment of HGX B200 GPU nodes (96 NVIDIA B200 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 ❯
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 ❯
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 ❯
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 ❯
london, south east england, united kingdom Hybrid/Remote Options
PNY Technologies Europe & MEA
the field of memory, the company addresses the photo, video and mobile phone markets, offering a complete solution of flash memory cards and accessories. As a privileged partner of NVIDIA for over 20 years, PNY brings the latest GPU technologies to the integration, gaming and professional (medical, aeronautics, media, etc.) markets. More recently, the specialist has developed its offer towards … to lead the sales efforts for PNY Consumer graphics cards, SSD and modules, with a specific focus on channel sales. The ideal candidate will have direct experience in selling NVIDIA graphics cards through channel partners (such as Distributors, system integrators, onliners and channel partners). As Sales Manager, you will drive sales strategy, manage key relationships, and work closely with … and optimizing channel performance. •Ability to effectively communicate complex product features to non-technical partners •Self-motivated and used to work remotely •Ideally solid understanding of GPU technology, specifically NVIDIA's GeForce Qualifications: •Bachelor's or Master's degree in Business, Marketing, or a related field, a completed commercial training is required, ideally in wholesale and foreign trade. •Minimum of More ❯
