1 to 25 of 230 Permanent NVIDIA Jobs in the UK

Nvidia - European Alliance Associate Director Location: London Other locations: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join … more agile, innovative, resilient and better equipped to respond to disruptive change. As EY continues to grow our Alliances, we need a Nvidia Geographic Alliance Associate Director for the European time zone who can work with the Nvidia Global Alliance Leadership to manage the day-to-day aspects ...

Cloud technologies: AWS primarily Azure and GCP beneficial Virtualisation and Containerisation Containerisation (e.g. Docker, Podman) Container management (e.g. Kubernetes) Experience in GPU containerisation (e.g. NVIDIA Container Toolkit, Run:AI) Architectural styles Microservices Serverless Edge compute APIs (both RESTful and Protobuf GRPC) Stream based pub/sub systems (including Kafka ...

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 ...

/ML/CS or related field. Beneficial knowledge General tooling and platforms: Databricks, AWS, GCP, GitHub, Docker/Kubernetes, MLflow, Jira. Edge deployments: Nvidia Jetson (e.g. AGX Orin), Raspberry Pi, or other embedded accelerators. Distributed model training & infra: Pytorch DDP, FDSP and TorchTitan, Megatron, Slurm, Run:ai, DeepSpeed, Kubernetes ...

dive when necessary Desirable Exposure to computational research involving GPU, including AI/ML methods applied to biomedical problems Experience supporting GPU‐accelerated workloads, NVIDIA tooling, CUDA‐aware environments, and/or AI/ML and bioinformatics workloads on shared compute platforms. Familiarity with bioinformatics or scientific workflow frameworks (e.g. ...

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 ...

architectures, specifically implementing Intel Secure Boot and Arm TrustZone. Engineer reliable software connectivity and data pipelines between Intel host boards and Eizo (ARM/NVIDIA) GPGPUs. Design and integrate Intelligent Platform Management Interface (IPMI) solutions for robust hardware management. Implement Ubuntu and relevant driver infrastructure Technical Operations Author and maintain ...

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 Role We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers ...

gaps and taking initiative as needed to help the team win together. Nice‐to‐Haves Experience 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 ...

gaps and taking initiative as needed to help the team win together. Nice-to-Haves Experience 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 ...

with Platform Engineering/Platform SRE to fully support both our infrastructure and platform stacks. Willingness to cross train with HPC Engineering, supported by NVIDIA to enhance our HPC supportability offering Requirements 5+ Years Proven experience in globally scaled, performance-intensive environments operating to a 24/7 support model ...

with Platform Engineering/Platform SRE to fully support both our infrastructure and platform stacks. Willingness to cross train with HPC Engineering, supported by NVIDIA to enhance our HPC supportability offering What you bring 5+ Years Proven experience in globally scaled, performance-intensive environments operating to a 24/ ...

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 ...

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 ...

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 ...

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 ...

/Azure/Sovereign Cloud) to ensure absolute data isolation between global industrial customers. GPU Orchestration: Manage autoscaling and high‐performance scheduling for NVIDIA H100/L40 clusters to handle "bursty" physics inference demands. Hybrid‐Cloud Networking: Manage data gravity and secure connectivity between public clouds and sovereign "Industrial ...

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 ...

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 ...

seamless integration into existing AI and HPC infrastructure. Its current PT-2 system, a rack-mounted quantum computer, connects directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads with significantly lower energy consumption than traditional silicon-based systems. Backed by a strong portfolio of patent ...

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 ...

safe in production. Deploy and tune GPU‐backed inference services (e.g., A100), optimise CUDA environments, and leverage TensorRT where appropriate. Operate scalable serving frameworks (NVIDIA Triton, TorchServe) with attention to latency, efficiency, resilience, and cost. Implement end‐to‐end observability for models and pipelines: drift, data quality, fairness signals, latency ...