1 to 25 of 55 NVIDIA Jobs in England

Architecture - Spine/Leaf Fabric, EVPN, BGP, Geneve High Assurance IP Encryptors (HAIPE) Infrastructure Automation and Orchestration technologies (e.g. Ansible, Terraform etc.) Whitebox Network Infrastructure (e.g. Mellanox, Cumulus Linux, Nvidia Networking) Support and Troubleshooting of NSX Cisco CCNP or equivalent experience Why SIXWORKS? SiXworks is a leading provider of secure digital solutions, specialising in digital experimentation and focused on fail More ❯

Kubernetes management. Technical Competence: Ability to interpret logs and debug issues via command-line tools and scripts alongside other troubleshooting methods. GPU: understanding of utilisation and troubleshooting methods for Nvidia based GPU's Soft Skills: Strong detail orientated communication skills tailored to diverse audiences. Customer-focused problem-solving and support abilities with a focus on quality of interaction/experience. 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 ❯

and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology 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 ❯

team in building and developing cutting-edge digital systems for a customer in the public sector. Key Responsibilities Design, develop and optimise Machine Learning solutions using YOLO, ONNX, and NVIDIA GPU/vGPU environments. Lead the ML pipeline for object recognition to meet operational objectives, including tuning accuracy for specific scenarios (eg, detecting containers too high/low). Build … Experience Required A strong background in software engineering which includes machine learning components, and expertise in using YOLO (You Only Look Once) or similar object detection frameworks. Experience with NVIDIA GPU optimisation or ONNX runtime environments. Strong understanding of computer vision, OCR, and image/video processing Proficiency in SOAP API development. Working knowledge of DevOps technologies including OpenShift (OCP More ❯

baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance. Responsibilities : Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs. Design, prototype, and scale innovative architectures to enhance model intelligence. Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance. Investigate, debug, and improve both model … in AI R&D (with good publications in A conferences). Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer More ❯

TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as NVIDIA Jetson. This is a chance to join a business with real purpose, where you work has a real-world impact! You can work from anywhere in the UK, with fully More ❯

/WFH/Hybrid Salary: Up to £40,000 plus an excellent benefits package Key skills: Redhat, RHEL, Ubuntu, Gentoo, SUSE, HPC, Linux Systems Admin, Supercomputing, Scripting, UNIX, Linux, Nvidia, GPU, Slurm, Torque, GPFS, Lustre Do you dream in lines of code and command-line interfaces? We've got an opportunity that will take your technical prowess to the next More ❯

/WFH/Hybrid Salary: Up to £40,000 plus an excellent benefits package Key skills: Redhat, RHEL, Ubuntu, Gentoo, SUSE, HPC, Linux Systems Admin, Supercomputing, Scripting, UNIX, Linux, Nvidia, GPU, Slurm, Torque, GPFS, Lustre Do you dream in lines of code and command-line interfaces? We've got an opportunity that will take your technical prowess to the next More ❯

distributed model training Experience working with a modern cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge of autonomous driving, large-scale More ❯

distributed model training Experience working with a modern cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge of autonomous driving, large-scale More ❯

InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯

define infrastructure strategies that are scalable and meet the needs of the business. Design deployment architectures for high availability, performance, and cost-efficiency across on-premise (e.g., HP, Intel, Nvidia) and cloud platforms (e.g., Azure, AWS)." Evaluate and recommend hardware, software, and networking solutions, including virtualization strategies (e.g., Hyper-V, Kubernetes, VMware). Manage relationships with hardware and software 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 As a Cloud FinOps Manager , you will play a pivotal role at the 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 We're not just building a company-we're pioneering a new More ❯

DRaaS (DR as a Service) utilising Natlik Cloud BAaaS (Back-up as a Service) utilising Natlik Cloud Compute solutions based on Cisco UCS & Dell AI infrastructure leveraging Dell, Cisco & Nvidia technology, including AIaaS solutions within Natilik Cloud DC infrastructure from Cisco including Nexus & HyperFabric Storage solutions from Pure Storage The successful candidate will be an expert relationship builder with a More ❯

on performance and real-time responsiveness. Essential Skills Strong experience with speech technologies (e.g., Whisper, DeepSpeech, Tacotron, VITS, etc.). Familiarity with video synthesis and avatar animation (e.g., DeepMotion, NVIDIA Omniverse, D-ID, or similar). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and More ❯

on performance and real-time responsiveness. Essential Skills- Strong experience with speech technologies (e.g., Whisper, DeepSpeech, Tacotron, VITS, etc.). Familiarity with video synthesis and avatar animation (e.g., DeepMotion, NVIDIA Omniverse, D-ID, or similar). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and More ❯

on performance and real-time responsiveness. Essential Skills- Strong experience with speech technologies (e.g., Whisper, DeepSpeech, Tacotron, VITS, etc.). Familiarity with video synthesis and avatar animation (e.g., DeepMotion, NVIDIA Omniverse, D-ID, or similar). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and More ❯

cloud sector. CRM & Reporting: Track and manage lead interactions using our CRM software and report on performance metrics. Continuous Learning & Adaptation: Stay updated on developments in cloud computing, the Nvidia ecosystem, and GPU technology to maintain a competitive edge. Qualifications: 1-3 years of experience in lead generation, sales development, or similar roles in cloud/tech environments. Strong understanding More ❯

segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model More ❯

segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. Designing and maintaining robust CI/CD pipelines with GitHub Actions for automated model More ❯

ensure client expectations are aligned Industry Representation & Learning Represent NexGen Cloud at trade shows, virtual events, and strategic industry forums Stay informed on AI infrastructure trends, GPU technology (including NVIDIA ecosystem), and competitive developments Commit to continuous learning to strengthen both technical understanding and sales effectiveness Qualifications Proven track record in managing the full sales lifecycle, ideally within cloud infrastructure More ❯

Core, SOAP/REST APIs, and MySQL/PostgreSQL, Red Hat OpenShift, Kubernetes Understanding of DevOps, cloud deployments, and service observability Bonus: Interest/experience in AI, digital twins, Nvidia Omniverse SDK & APIs, Universal Scene Description What We Offer : Reimbursement for tuition and professional dues Three weeks of vacation and five paid personal days (to start) RRSP matching program Free More ❯