26 to 43 of 43 NVIDIA Jobs in the UK

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 ❯

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 ❯

Labs, monitors risks before deployment, while sector regulators assess AI's impact in their industries. This balanced approach has even been described by Jensen Huang, Founder and CEO of NVIDIA, as a "Goldilocks moment" for Britain. The DLR adds context, with 40% of digital leaders worried about the misuse of Generative AI, such as staff transferring sensitive documents into chatbots 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 ❯

Calling CIOs and CISOs: Join Our Advisory Board (Equity-Based Opportunity) At Andeavour, a cross-border AI startup (US,EU,UK & ,Israel ), NVIDIA partner, and trusted by paying customers across the US, UK and EU, we’re offering AgenticAI-powered products that solve pressing enterprise challenges, including: 🧩 Cyber/IT “Paralysis-by-Analysis” 👥 Distributed Insider, impersonation, Corporate Espionage threats 🤖 Injected More ❯

750B in data centre investment already underway Dubai & Canary Wharf are becoming global hubs for AI infrastructure talent and capital WNTD works with the companies building the backbone of NVIDIA-powered AI platforms 🧠 Who you are: You’ve built or scaled start-ups, teams, or high-growth practices You’ve come from a search, talent solutions, or embedded delivery background More ❯

750B in data centre investment already underway Dubai & Canary Wharf are becoming global hubs for AI infrastructure talent and capital WNTD works with the companies building the backbone of NVIDIA-powered AI platforms 🧠 Who you are: You’ve built or scaled start-ups, teams, or high-growth practices You’ve come from a search, talent solutions, or embedded delivery background More ❯

750B in data centre investment already underway Dubai & Canary Wharf are becoming global hubs for AI infrastructure talent and capital WNTD works with the companies building the backbone of NVIDIA-powered AI platforms 🧠 Who you are: You’ve built or scaled start-ups, teams, or high-growth practices You’ve come from a search, talent solutions, or embedded delivery background 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 ❯

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 ❯

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 ❯

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 We are on the hunt for a passionate individual to drive customer onboarding More ❯

training to inference acceleration. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of Nvidia and related technical options, and will leverage this knowledge to help Amazon Web Services customers in their selection process. - Candidates must have great communication skills and be very technical and … experience optimizing AI infrastructure, with deep expertise in inference acceleration frameworks (e.g., vLLM, SGLang, TensorRT, etc.), model training and serving systems across PyTorch and TensorFlow ecosystems; - Advanced proficiency in Nvidia GPU performance optimization techniques, including memory management, kernel fusion, and quantization strategies for large-scale deep learning workloads; - Strong foundation in parallel computing principles with practical CUDA programming experience, emphasizing … frameworks like Megatron-LM and Ray, with particular focus on LLM deployment and horizontal scaling across GPU clusters. PREFERRED QUALIFICATIONS - First hand implementation experience of AI Infrastructure operation & optimization (Nvidia GPU Chips, Frameworks, Servers, Networking, Power etc.). - Graduate degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.); - Proficiency in performance optimization on Amazon More ❯

for the number of days you come to the office. Must Haves: Technical expertise. You have extensive experience in C Python, and several of the following areas: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson and AWS. A product focus. Your proven track record of delivering impactful AI/ML products with close collaboration with product is impressive. System experience. When it … developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you've worked with embedded SoCs (e.g. Nvidia, Qualcomm, etc.). Our Role Champion work-life harmony . We'll give you the flexibility you need More ❯

Perform a thorough analysis of the deployment methods for GPU-accelerated serving frameworks in the market, with reference implementations and best-practice recommendations for large-scale serving solutions (eg, NVIDIA Triton Inference Server, TensorRT, ONNX Runtime). Develop repeatable and automated configuration templates for GPU resources. Implement active GPU monitoring, including review and analysis of all relevant metrics (utilization, memory … and utilize GPU capabilities seamlessly. Qualifications Minimum 2 years of hands-on experience in GPU engineering or cloud-based GPU workload optimization, ideally within enterprise or large-scale environments. NVIDIA Certified (Preferred). Required Skills Direct experience with GPU services, including resource provisioning, scaling, and optimization. Demonstrable expertise in GPU-accelerated software development (CUDA, OpenCL, TensorRT, PyTorch, TensorFlow, ONNX, etc. … Kubernetes and GPU scheduling, including setup of GPU-enabled clusters and deployment of GPU workloads in Kubernetes. Familiarity with GPU monitoring and observability, using tools such as Prometheus, Grafana, NVIDIA Data Center GPU Manager (DCGM), or custom scripts. Proven ability to analyze deployment approaches for GPU-accelerated serving frameworks and deliver reference implementations. Experience implementing software quality engineering practices (unit More ❯

ship new AI-powered features including text-to-speech, image generation, and enhanced tool calling capabilities Implement and optimize model serving infrastructure using frameworks like vLLM, ONNX Runtime, and Nvidia Triton to achieve production-scale performance requirements Collaborate with DevOps teams on MLOps infrastructure including model monitoring, load testing, caching optimization, and automated CI/CD pipelines for model deployments … with production experience Extensive experience with PyTorch or other modern ML frameworks Experience training custom models from scratch Experience with model optimization and inference frameworks (e.g., vLLM, ONNX Runtime, Nvidia Triton) Familiarity with MLOps practices & Kubernetes and ability to collaborate with DevOps teams on model monitoring, load testing, and CI/CD pipelines Experience shipping ML-powered features or systems More ❯

we processed over 500 million user queries globally. We have raised substantial funding, including a $73.6 million Series B in January 2024 led by IVP with participation from NVIDIA, Jeff Bezos' fund, NEA, Databricks, and others. In April 2024, we closed a $62.7 million Series B1 led by Daniel Gross, valuing Perplexity at over $1 billion. Our investor network includes … IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, among others. Final offer amounts depend on experience and expertise and may vary from listed figures. Equity is included as part of the total compensation package, in addition to base salary. Benefits include comprehensive health, dental, and vision insurance for employees and dependents More ❯

requirements for the number of days you come to the office. Must Haves: Technical expertise. You have extensive experience in C Python, and several of the following areas: Kubernetes, Nvidia Jetson, and AWS (or other cloud services). Experience with TensorRT and Nvidia DeepStream would also be a plus. A product focus. Your proven track record of delivering impactful AI … developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you've worked with embedded SoCs (e.g. Nvidia, Qualcomm, etc.). Our Role Champion work-life harmony . We'll give you the flexibility you need More ❯