1 to 25 of 73 NVIDIA Jobs in England

utilisation, reliability, and cost-efficiency. Your Impact Provision and manage cloud-native AI/ML infrastructure utilising Kubernetes, Docker, and GPU orchestration frameworks (e.g., NVIDIA GPU Operator, Slurm, or Ray). Automate core platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible. Optimise GPU compute workloads ...

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 ...

networking for AI/HPC workloads, including InfiniBand and/or RoCE. Experience with subnet managers and fabric orchestration technologies such as OpenSM or NVIDIA UFM. Expert-level understanding of modern data centre routing and control planes, including BGP, EVPN-VXLAN, and Clos/spine-leaf architectures. Production experience with ...

MANET radio technology Defence, military, government or national security environments Military communications or C5ISR roles Docker, Kubernetes or K3s Edge computing platforms such as NVIDIA Jetson Python or Bash scripting REST APIs and software integration TAK or ATAK Cursor-on-Target and tactical data distribution SATCOM or LTE/ ...

Metaflow, or Argo Workflows. Experience with containerisation and infrastructure tooling such as Docker, Kubernetes, or Terraform.Experience profiling or optimising ML systems, for example using NVIDIA Nsight. Understanding of ML workflows and researcher experience, even if you are not focused on model development. What we’re not looking for This ...

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 ...

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 ...

concurrent opportunities across a geographic territory. Fluency in English required; proficiency in Dutch, Swedish, Norwegian, Danish, or Finnish is a plus. Preferred: Familiarity with NVIDIA GPU architectures (H100, A100, H200) and the software stack around them: CUDA, NCCL, cuDNN. Working knowledge of high-performance networking concepts: InfiniBand, RDMA, RoCE ...

communication and stakeholder management skills, able to work closely with Platform, Network, and leadership. Nice to Have Experience in HPC or GPU‐accelerated environments (NVIDIA GPUs, InfiniBand/RDMA, parallel file systems). Scripting skills in Python and/or Bash for automation and tooling. Understanding of performance tuning ...

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 ...

playing a key role in advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical ...

NVIDIA Corporation in Reading, United Kingdom, is seeking a Senior Software QA Test Development Engineer to design and implement scalable, end-to-end SWQA workflows, automated test frameworks, and tooling for complex software products. You will build coverage for Linux-based, containerized, and Kubernetes environments and lead quality initiatives across ...

video processing (ingest, frame extraction, transcoding, and A/V sync). Integrate proprietary codec SDKs into AI and media frameworks (e.g., FFmpeg, GStreamer, NVIDIA NeMo). Connect video processing stages to computer-vision and multimodal AI models (for tasks like classification, embeddings, and structured output generation). Prototype ...

/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 ...

maintainable code in a shared codebase Hands-on simulation experience for autonomous systems, familiarity with simulation platforms such as CARLA, Applied Intuition, Foretellix, NVIDIA Omniverse, IsaacSim, Gazebo, or a proprietary in-house simulatorWorking knowledge of simulation, modelling, and validation methodology, including how simulated results are used to support claims about ...

outcomes, 80% less admin work Raised a $30M Series A from top investors Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than ...

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 ...

Platform Architect - Nvidia AI/GB300 | £700-765p/day (Outside IR35) | 6+ months | Mainly Remote | London occasionally | focused on building and scaling NVIDIA AI Factory infrastructure We're looking for an experienced Platform Architect to join a major AI infrastructure programme The key focus is NVIDIA HGX GB300 …/NVL72 and RTX 6000 series servers, so proven experience designing and deploying NVIDIA GPU infrastructure is essential You'll translate complex technical requirements into HLDs, LLDs and platform architecture, working across infrastructure, networking, storage, security, applications and data-centre teams. Key Requirements Strong Platform/Infrastructure Architecture experience across ...

Platform Architect - Nvidia AI/GB300 | £700-765p/day (Outside IR35) | 6+ months | Mainly Remote | London occasionally | focused on building and scaling NVIDIA AI Factory infrastructure We're looking for an experienced Platform Architect to join a major AI infrastructure programme The key focus is NVIDIA HGX GB300 …/NVL72 and RTX 6000 series servers, so proven experience designing and deploying NVIDIA GPU infrastructure is essential You'll translate complex technical requirements into HLDs, LLDs and platform architecture, working across infrastructure, networking, storage, security, applications and data-centre teams. Key Requirements Strong Platform/Infrastructure Architecture experience across ...

production performance challenges. Experience automating infrastructure-as-code deployments, monitoring and alerting stacks, and hardware acceptance and regression testing. Deep familiarity with the NVIDIA technology stack, including HGX platforms, NVLink/NVSwitch, CUDA-level debugging, and NCCL performance tuning. Strong leadership skills with the ability to set technical direction, solve ...

tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state‐of‐the‐art open models across text, image, embedding, audio, and multimodal workloads. ...

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 ...

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 ...