1 to 25 of 111 NVIDIA Jobs in England

edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government or national security projects. An MSc or PhD in Computer Vision, Artificial Intelligence, Machine Learning ...

building things properly the first time, even under early‐stage constraints. Nice to Have Experience with GPU cluster management and ML training workloads (NVIDIA, CUDA, distributed training). Familiarity with MLOps tooling: Experiment tracking (MLflow, Weights & Biases). Workflow orchestration (Airflow, Prefect, Argo). Data versioning (DVC). Background ...

Helm, and service mesh.Familiarity with AI-ready infrastructure: GPU compute, high-performance fabrics (RoCE/InfiniBand), AI/ML reference architectures (e.g., Cisco + NVIDIA), and storage for AI workloads.Relevant industry certifications (e.g., CCNP/CCIE Data Center, VMware VCP, CKA/CKAD, or major cloud associate/professional certs ...

Helm, and service mesh.Familiarity with AI-ready infrastructure: GPU compute, high-performance fabrics (RoCE/InfiniBand), AI/ML reference architectures (e.g., Cisco + NVIDIA), and storage for AI workloads.Relevant industry certifications (e.g., CCNP/CCIE Data Center, VMware VCP, CKA/CKAD, or major cloud associate/professional certs ...

Senior Principal Engineer, Fellow, or equivalent executive IC role at a top-tier Fortune 50 or hyperscale technology company (e.g., Google, Amazon, Microsoft, Apple, NVIDIA, Meta, or similar)Demonstrated external technical impact, including patents, influential open-source contributions, published research, standards participation, or high-profile industry speakingDeep, hands-on expertise ...

SLAM technologies and testing localisation or mapping systems. Exposure to AWS cloud services. Knowledge of React and/or Node.js environments. Experience working with NVIDIA Jetson hardware or similar embedded edge devices. Understanding of OTA deployment solutions for embedded platforms. Previous experience working within a start-up or high-growth ...

networking, or low‐latency/high‐bandwidth fabrics. Experience with BMC, Redfish, IPMI, firmware lifecycle management, or hardware management APIs. Exposure to NVLink, NVSwitch, NVIDIA GPU platforms, NVUE, SONiC, or specialized network operating systems. Benefits: Family‐level Medical Insurance Family‐level Dental Insurance Generous Pension Contribution Life Assurance ...

performance tuning at both the application and infrastructure layer. Strong working knowledge of containerisation and orchestration in HPC/AI contexts: Docker, Kubernetes, NVIDIA GPU Operator, and container-native workload management. Background in an OEM, hyperscaler, neo-cloud, or enterprise/research HPC environment, with demonstrable exposure to the full ...

What you will do Training Infrastructure Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform. Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization. Build and maintain ...

workloadsDeep knowledge around GPU optimization and performance Proficiency in Python scripting and automation frameworks CUDA or C/C++ experience is a plusExperience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef)Comfortable diagnosing complex system issues ...

still being developed Strong Preference For Experience integrating accelerator hardware (GPUs, FPGAs, ASICs, NPUs, or novel architectures) into customer inference workflows Familiarity with the NVIDIA inference stack - CUDA, TensorRT, Triton Exposure to disaggregated inference architectures, prefill/decode separation, or KV cache management Compensation & Benefits Highly Competitive Salary ...

record leading technical delivery (not just advisory) on enterprise-scale AI or HPC infrastructure programmes. AI Hardware & Data Center Infrastructure GPU/accelerator architectures: NVIDIA/AMD, including multi-node scale-out design. Accelerator interconnects: NVLink, NVSwitch High-performance networking: InfiniBand and RoCEv2 fabric design, 400G/800G Ethernet, rail … frameworks: PyTorch and TensorFlow at a working, hands-on level. Distributed training: Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks. Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ...

/Layer 3 networking BGP and OSPF HSRP/VRRP Firewalls/network security Cisco Firepower/FTD IPv4/IPv6 QoS and multicast NVIDIA Mellanox switches/Cumulus Linux EVPN/VXLAN/MLAG/leaf-spine networking Linux VMware Ansible/network automation What we're looking ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred.Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred.Kubernetes: CKA or CKAD — preferred.TOGAF 9/10 or equivalent enterprise architecture certification … sponsors.Thrives on ambiguity in a fast-moving technology space; makes sound architectural calls with incomplete information.Collaborates effectively across sales, pre-sales, delivery, and partner (NVIDIA, hyperscaler, ISV) teams.Education & ExperienceBachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent demonstrable experience.Advanced degree (MS in CS/ ...

LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Enablement team works directly with companies building AI agents for production, getting new LangChain customers off to a fast ...

sensitive trading applications. Great to have Experience in financial trading environments with a focus on real-time data performance. Knowledge of GPU-accelerated environments (NVIDIA GRID, AMD vGPUs) for optimizing application performance. Familiarity with network protocols and latency optimization in trading systems. Experience with CI/CD pipelines for application ...

able to document, pair, and run sessions that bring less network-savvy colleagues up to speedNice to haveExperience with GPU cluster networking specifically (e.g. NVIDIA Spectrum-X or Quantum InfiniBand, ConnectX/BlueField NICs and DPUs, UFM, SHARP, or equivalent Broadcom/Arista AI fabric platforms)Container networking experience ...

Foundation product range. Experience programmatically deploying and managing multi‐cloud environments using Terraform, Ansible, etc. Desirable Skills & Abilities Certifications: CCNP qualifications or equivalent. Certifications: Nvidia qualifications or equivalent (e.g., NVIDIA Certified Professional, NVIDIA Deep Learning Institute certifications). Automation and orchestration tools and features and DevOps methodology (e.g., Terraform, Ansible ...

following vendors would be beneficial:Data Protection: Cohesity; Rubrik; Commvault; VeeamModern Data Platforms: Snowflake; DataBricks; Starburst; Microsoft FabricRDBMS: Microsoft SQL Server; OracleDSPM: Varonis; CyeraDatacenter: Nvidia; Dell; HP; IBMStorage: NetApp; Pure; Vast; WekaAbout usComputacenter is a leading independent provider of IT infrastructure services, with about 21,000 employees worldwide. We work ...

gRPC. Experience with Linux build environments like Yocto or Buildroot. Experience in building Linux kernels and modifying or writing device drivers. Experience with Nvidia’s Jetson platform is a plus. Experience working with sensor data, including cameras, lidars, radars, and IMUs is a plus. Strong communication skills, with the ability ...

with automation platforms (e.g., Python, UiPath, Pega, or other JPMorgan-authorized workflow, process, and decision automation tools). Relevant AI and cloud certifications, (e.g., NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) or AWS Certified AI Practitioner certifications) preferred but not necessary. Familiarity with the AI regulatory and policy ...

Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We’ve been named ...

Experience with automation platforms such as Python, UiPath, Pega, or other workflow, process, and decision automation tools. Relevant AI and cloud certifications, such as NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) or AWS Certified AI Practitioner. Familiarity with the AI regulatory and policy landscape, model releases ...

Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We’ve been named ...

clients to create meaningful AI strategies, build production‐ready AI solutions and effectively integrate those solutions in their businesses. Our alliance with OpenAI and NVIDIA (among others) enables us to lead the industry in building valuable, scalable, enterprise‐ready solutions for businesses. We’re driven by applied R&D, prototyping ...