26 to 43 of 43 NVIDIA Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build secure, scalable … experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity with enterprise AI stacks (e.g., NVIDIA AI Enterprise, private cloud AI platforms). Awareness of UK AI compliance and data sovereignty regulations (e.g., ISO 27001, SOC 2). Experience optimising GPU workloads. Contributions to open-source More ❯

sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build secure, scalable … experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity with enterprise AI stacks (e.g., NVIDIA AI Enterprise, private cloud AI platforms). Awareness of UK AI compliance and data sovereignty regulations (e.g., ISO 27001, SOC 2). Experience optimising GPU workloads. Contributions to open-source More ❯

sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build secure, scalable … experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity with enterprise AI stacks (e.g., NVIDIA AI Enterprise, private cloud AI platforms). Awareness of UK AI compliance and data sovereignty regulations (e.g., ISO 27001, SOC 2). Experience optimising GPU workloads. Contributions to open-source More ❯

sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build secure, scalable … experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity with enterprise AI stacks (e.g., NVIDIA AI Enterprise, private cloud AI platforms). Awareness of UK AI compliance and data sovereignty regulations (e.g., ISO 27001, SOC 2). Experience optimising GPU workloads. Contributions to open-source More ❯

sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge Integration Build secure, scalable … experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity with enterprise AI stacks (e.g., NVIDIA AI Enterprise, private cloud AI platforms). Awareness of UK AI compliance and data sovereignty regulations (e.g., ISO 27001, SOC 2). Experience optimising GPU workloads. Contributions to open-source 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 ❯