1 to 25 of 49 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 ❯

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 ❯

/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 ❯

Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary dependent on experience Package of attractive benefits including private medical insurance and monthly travel card You will join a dedicated highly renowned 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

developing production applications. Data Engineering & Streaming: Familiarity with data streaming tools and Elastic to ensure high performance in data-driven environments. Nice to Have: Neo4j Data Streaming e.g. Kafka Nvidia Triton Octopus Deploy Langsmith Elastic About Definely Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as the EMEA Technology Fast 500, Definely 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 ❯

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 ❯

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 ❯

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 ❯