1 to 25 of 91 Permanent NVIDIA Jobs in the UK

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 ...

managing a team of 5+ infrastructure, platform, or DevOps engineers. AI/GPU Infrastructure: Hands‐on experience architecting and managing GPU‐intensive workloads (NVIDIA clusters, cloud AI accelerators) for compute‐heavy applications. Multi-Cloud & Orchestration: Expertise with Kubernetes, Docker, Terraform (or OpenTofu), and multi‐cloud environments (with strong hands ...

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 ...

agents using frameworks such as LangChain, CrewAI, LangGraph, or similar orchestration platforms Experience operating or integrating serving platforms such as KServe, Ray Serve, NVIDIA Triton Inference Server, Text Generation Inference (TGI), alongside vLLM/llm‐d Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting ...

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 ...

using orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar platforms Experience operating or integrating model serving platforms such as KServe, Ray Serve, or NVIDIA Triton Inference Server alongside other large language model serving stacks Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting Experience ...

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 ...

/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 ...

their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise ...

their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise ...

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 ...

their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise ...

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 ...

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 ...

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 ...

Nice to have Vendor Professional Certification (e.g., Google Dialogflow, Amazon Lex, Microsoft Bot Framework, Cognigy). Participation in AI hackathons or community projects (e.g., NVIDIA, open‐source agent frameworks). Familiarity with Omilia OCP, Pathfinder, Voice Biometrics, CoPilot, or OptimizeIQ. Domain experience in banking, healthcare, utilities, or insurance CX. Exposure ...

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 ...

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 ...

round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia’s VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Role Purpose We’re looking ...