1 to 25 of 222 NVIDIA Jobs in England

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 ...

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 … Nvidia alliance relationship – including relationship collaboration and governance, alliance program oversight, contracts and compliance management and performance intelligence. This is a great opportunity to work with people across Europe, the globe as well as across multiple EY service lines and sectors. Your key responsibilitiesYour role will sit within the Alliance ...

LLMOps• Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector)• Experience with GPU-accelerated infrastructure and NVIDIA AI Enterprise or equivalent stacks• Exposure to fine-tuning, RLHF, or SLM distillation is a strong plusCloud-Native & Infrastructure• Deep expertise in Kubernetes and container ...

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 ...

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 ...

/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 ...

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, Robotics ...

Storage or Dell EMCExperience with Cisco Nexus and ACIExperience with VMware Cloud FoundationExperience with Terraform, Ansible, or similar automation technologiesDesirable: CCNP or equivalent certificationDesirable: NVIDIA certifications or AI infrastructure experienceDesirable: DevOps, automation, and orchestration toolsDesirable: Python, REST APIs, and GitDesirable: Docker and KubernetesDesirable: Knowledge of modern CPU, GPU, and infrastructure ...

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 ...

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/ ...

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 ...

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 ...

fresh and 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 ...

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 ...

specialty retailers around the world - including Kroger, Meijer, and Woolworths - we also partner with leading hardware, AI, and cloud computing providers such as Google, NVIDIA, NCR, and Dell. Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 700 employees globally, with a European headquarters in Cork, Ireland ...

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 ...

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 ...

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 ...