1 to 25 of 139 NVIDIA Jobs in England

areas:Software languages:PythonJavaRustJavaScriptCloud technologies:AWS primarilyAzure and GCP beneficialVirtualisation and ContainerisationContainerisation (e.g. Docker, Podman)Container management (e.g. Kubernetes)Experience in GPU containerisation (e.g. NVIDIA Container Toolkit, Run:AI) Architectural stylesMicroservicesServerlessEdge computeAPIs (both RESTful and Protobuf GRPC)Stream based pub/sub systems (including Kafka and MQTT)DevSecOps toolingVersion control ...

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 ...

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 ...

optimal GPU utilisation, reliability, and cost-efficiency.Your ImpactProvision 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, high-speed ...

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 ...

means filling gaps and taking initiative as needed to help the team win together.Nice-to-HavesExperience with our Edge AI stack. Experience with the NVIDIA edge ecosystem (Jetson Orin, DeepStream SDK, TensorRT) is a huge plus.Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg.Fleet management. Experience with tools like ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 forThis is not primarily ...

Kafka, Event Hubs, or comparable orchestration/integration tools. Familiarity with enterprise AI platforms — Azure AI, AWS SageMaker, Google Vertex AI, Databricks Mosaic AI, NVIDIA NIM, or similar. A passion for helping customers solve complex business problems through modern data engineering and trusted data foundations. Education: Bachelor’s degree ...

Global Communication. We are the rare AI company that builds the entire stack in-house: from training next-gen LLMs on our own NVIDIA DGX SuperPODs to delivering real-time Language AI to over 300 million users and 200,000+ businesses globally.We are shifting gears. We are moving from "Software ...

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 ...

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 ...

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 ...

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/ ...

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 ...

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 ...