1 to 25 of 72 NVIDIA Jobs in England

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist. We are a team of 40+, on track ...

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 ...

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 ...

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 ...

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. About the role ...

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 ...

sustainability and energy‐efficiency goals. Compute, Storage & Networking Implementation Architect and deploy robust infrastructure using hardware/software from vendors such as Dell, HPE, NVIDIA, Cisco, NetApp, and Juniper. Apply deep knowledge of high‐performance computing (HPC) and low‐latency networking to AI/ML solution design. Integrate automation tools … 10+ years of hands‐on experience in infrastructure architecture, systems engineering, or solution architecture. Proven track record with AI/ML infrastructure design (e.g., NVIDIA GPUs, distributed compute, high‐speed storage). Demonstrated understanding of data center operational constraints including power provisioning, rack planning, and cooling technologies. Technical Expertise: Deep ...

With 10+ years of software engineering experience, the ideal candidate should be proficient in Python, have deep Kubernetes knowledge, and hands-on experience with NVIDIA GPU clusters. This position offers a hybrid work model, private health insurance, and opportunities for professional growth and learning in a high-paced environment. #J ...

similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet). Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson). Your experience; Commercial Edge: You have at least 5 years of experience in a commercial product development environment. Communicator: You are confident ...

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 ...

analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist. We are a team of 40+, on track ...