16 of 16 NVIDIA Jobs in England

in AI/ML and HPC environments. Preferred Qualifications & Certifications: •CCNP or CCIE Data Center (highly preferred) •Cisco Certified Specialist – Enterprise Core or Data Center Core •Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus •Experience with hybrid and multi-cloud networking for AI clusters is desirable More ❯

in AI/ML and HPC environments. Preferred Qualifications & Certifications: •CCNP or CCIE Data Center (highly preferred) •Cisco Certified Specialist – Enterprise Core or Data Center Core •Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus •Experience with hybrid and multi-cloud networking for AI clusters is desirable More ❯

in AI/ML and HPC environments. Preferred Qualifications & Certifications: •CCNP or CCIE Data Center (highly preferred) •Cisco Certified Specialist – Enterprise Core or Data Center Core •Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus •Experience with hybrid and multi-cloud networking for AI clusters is desirable 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 ❯

video processing/streaming, working with cameras, codecs and streaming protocols. Experience of C#, Python, Qt, WPF, Visual Studio. Experience working with Windows and Linux device drivers. Experience with Nvidia Jetson. Experience creating CI/CD and automated test infrastructure with hardware in the loop. Experience building CI/CD pipelines with GitLab or GitHub. Familiarity with I2C, SPI, CoaXPress 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 ❯

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 ❯

world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our More ❯

enterprise-focused distributor, specialising in designing and delivering optimised server, storage, and infrastructure solutions into the world's fastest-growing technology sectors. Partnering with global technology leaders such as Nvidia, Intel, AMD, Supermicro, Dell , and more, they deliver high-performance solutions to their customers. As they continue to expand, they are looking for an ambitious and results-driven Account Manager 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 ❯

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 Reporting to the Customer Success Team Lead - you are energetic, driven, and care 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 ❯

day (Outside IR35) Duration: 3 months Location: Fully remote/WFH Role: We are assisting a leading global cloud provider who seek an HPC AI Architect who specialises in NVIDIA AI architecture. This is a fully remote opportunity, ideally suited to a High-Performance Computing specialist with a deep technical understanding of NVIDIA Blackwell infrastructure, spanning hardware, software, and storage … will be highly proficient in the following areas: Hardware Advanced multi-GPU system design High-speed interconnects: PCIe, NVLink, InfiniBand Thermal and power efficiency modelling Expert-level knowledge of NVIDIA Blackwell infrastructure Optimizing CPU/GPU ratios in HPC environments Software AI/HPC workload simulation and performance analysis Precision optimization (FP16, BF16, INT8, etc.) GPU utilization profiling and tuning More ❯