1 to 25 of 83 NVIDIA Jobs in England

technologies.NVIDIA Jetson or other edge-AI platforms.Docker, Kubernetes, Kubeflow or production MLOps pipelines.Distributed training or large-scale model optimisation.Synthetic-data generation, Unreal Engine or NVIDIA Omniverse.Aerial, satellite, drone or ISR imagery.Sensor fusion, autonomy or robotics.Defence, government or national-security projects.A BSc, MSc or PhD in Computer Vision, Artificial Intelligence, Machine ...

/Kubernetes models, including LLM inference. Proficiency in Infrastructure as Code (IaC) tools like Terraform or Ansible. Experience with GPU acceleration technologies (e.g., NVIDIA CUDA) in containerized environments. Familiarity with monitoring tools such as Prometheus and Grafana. Exceptional communication and problem-solving skills with a client-focused mindset. Excellent client ...

CUDA, inference acceleration or 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 ...

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 ...

tooling (eg GitHub Actions, GitLab CI or similar) Monitoring and observability (eg Prometheus, Grafana) Active SC clearance Nice to have Edge AI deployment, ideally NVIDIA Jetson and DeepStream Computer vision or video pipelines (eg GStreamer) Kubernetes, Kubeflow, Metaflow or similar orchestration tools Kafka or other event-driven architectures Data versioning ...

tooling (e.g. GitHub Actions, GitLab CI or similar) Monitoring and observability (e.g. Prometheus, Grafana) Active SC clearance Nice to have Edge AI deployment, ideally NVIDIA Jetson and DeepStream Computer vision or video pipelines (e.g. GStreamer) Kubernetes, Kubeflow, Metaflow or similar orchestration tools Kafka or other event-driven architectures Data versioning ...

related STEM discipline. Senior Software Engineer- DV Security Cleared- Desirable Technical Experience Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis JavaScript ...

related STEM discipline. Senior Software Engineer- DV Security Cleared- Desirable Technical Experience Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis JavaScript ...

Experience GPU optimisation, distributed training and inference acceleration. Docker, Kubernetes, MLflow or Kubeflow. Object detection, segmentation and large-scale imagery processing. Edge AI and NVIDIA technologies. Defence, aerospace or national security projects. ...

detect, isolate, mitigate, and permanently resolve failures. Drive Cross-Company Execution Lead technical investigations involving internal infrastructure teams, cloud and datacenter operators, Azure Networking, NVIDIA, switch and NIC teams, and network-software partners. Own incidents through resolution, even when the underlying failure crosses organizational boundaries. Produce clear root-cause analyses ...

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/ ...

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 … 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 ...

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 ...

/ML projects. Vision Transformers, image segmentation or model optimisation. Docker, CI/CD or cloud-based ML environments. Exposure to MLOps, NVIDIA GPUs or edge AI. Experience in defence, aerospace or security-related technology. ...

Infrastructure Operations High-Performance Computing (HPC) Linux Systems Administration Technical Operations Leadership Service Delivery & Operational Excellence Stakeholder Management Desirable Research Computing Environments GPU Infrastructure (NVIDIA, CUDA) Scientific Computing Distributed Computing Cloud Platforms (Azure, AWS or GCP) Infrastructure Automation DevOps Practices,CI/CD Network Infrastructure & Storage Platforms Research Technology Platforms ...

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 ...

2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer ...

more of the following areas:EssentialPlatform ManagementInfrastructure OperationsHigh-Performance Computing (HPC)Linux Systems AdministrationTechnical Operations LeadershipService Delivery & Operational ExcellenceStakeholder ManagementDesirableResearch Computing EnvironmentsGPU Infrastructure (NVIDIA, CUDA)Scientific ComputingDistributed ComputingCloud Platforms (Azure, AWS or GCP)Infrastructure AutomationDevOps Practices,CI/CDNetwork Infrastructure & Storage PlatformsResearch Technology PlatformsWhy Apply This opportunity offers the chance ...

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 ...

from agentic AI systems and generative AI applications to modern data platforms, with 40+ AI projects delivered into production. We are also NVIDIA and Anthropic partners, and part of the 3J Group. We are a small, senior, fast-moving team, which means you will work on real client projects from ...

well as through industrial collaborations. The lab’s research has received several distinctions, including the Best Paper Award at IEEE RO-MAN 2022, the NVIDIA CCS Best Student Paper Award Runner-Up at IEEE FG 2021, and First Place and Honourable Mention Awards at the ICCV UDIVA Challenge 2021. About ...

advise senior stakeholders and influence technical strategy at C-levelDemonstrated experience in pre-sales solutioning and shaping complex technology engagementsNice to haveExposure to NVIDIA ecosystems (DGX, HGX, SuperPOD) or alternative accelerators (AMD or similar)Familiarity with InfiniBand/RoCE networking, PyTorch, high-density rack design, liquid cooling ...

countries (own entity or employer of record)?About RadiantAI infrastructure company running dense, large-scale GPU and CPU compute, including the latest NVIDIA architectures, for AI training, deployment and scaling. Product is moving from generalist PMs to a vertical model where each PM owns a dedicated engineering track. Startup pace ...

evolving AI landscape;Knowledge of AI infrastructure and data center network designs and reference architectures, both for east west and north south. Knowledge of Nvidia reference architectures will be preferred. Knowledge of current AI App security ecosystem and challenges. Knowledge of Storage technologies, designing architectures for efficient data delivery ...

through coaching, enablement programmes, mentoring, or community leadership. Familiarity with hyperscaler cloud platforms (AWS, Azure, and Google Cloud) and alliance technologies such as Cisco, NVIDIA, and Commvault. Ability to translate technical differentiation into repeatable partner-led solutions and business outcomes. Strong stakeholder management, communication, facilitation, and influencing skills. Ability ...