24 of 24 NVIDIA Jobs in the UK

Strong problem-solving skills and a collaborative mindset Bonus Terraform or other IaC tools Slurm, Kueue, Ray, Spark, or similar systems GPU tooling (CUDA, Nvidia operators, schedulers) Experience supporting ML training or data science teams ...

reviews for compute or HPC-related incidents, implementing preventive measures as needed. Required Skills: •Expertise in an HPC environment, including GPU cluster administration (e.g., NVIDIA, AMD) and workload schedulers such as SLURM or PBS. •Proficiency with AI model training workflows and experience supporting popular AI/ML frameworks (e.g., TensorFlow ...

EVPN, BGP, Geneve High Assurance IP Encryptors (HAIPE) Infrastructure Automation and Orchestration technologies (e.g. Ansible, Terraform etc.) Whitebox Network Infrastructure (e.g. Mellanox, Cumulus Linux, Nvidia Networking) Support and Troubleshooting of NSX Cisco CCNP or equivalent experience "This engagement is outside IR35 and will be delivered on a statement-of-work ...

AI. Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures ...

knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging ...

knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging ...

knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging ...

knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging ...

knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging ...

Board Member for the FD Show launching at ExCeL London in 2026. He holds a Perplexity AI Fellowship, connecting him with leaders from Perplexity, Nvidia, Ramp, and other technology companies. LinkedIn: linkedin.com/in/peterbeardaca What We Believe Rapid, reliable, responsible Generative AI needs all three to be successfully ...

C++ (C++14 or later) Hands-on expertise with ROS2 (Robot Operating System 2). Experience integrating software with embedded or edge computing hardware (e.G. NVIDIA Jetson/Xavier). Exposure to ROS1 migration, simulation tools (e.G. Gazebo, RViz), and project tracking tools such as Jira. This role offers a competitive ...

robotic middleware and interfaces (e.g., ROS 2 or similar) Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs. Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence. Contribute to the full engineering lifecycle, including architecture ...

aggressively scaling our commercial operations in North America. Some names include Cisco, Juniper, Palo Alto Networks, Siemens, Cadence, Synopsys, AMD, Intel, NVIDIA, etc. About the Role We are hiring a highly ambitious, autonomous, and commercially sharp Business Development Representative to join our growing commercial team. This is a senior, outbound ...

Board Member for the FD Show launching at ExCeL London in 2026. He holds a Perplexity AI Fellowship, connecting him with leaders from Perplexity, Nvidia, Ramp, and other technology companies. LinkedIn: linkedin.com/in/peterbeardaca Compensation and Benefits £45,000 to £70,000 base salary (dependent on experience ...

backend service built in Laravel, that provides data to a React.js frontend application. Our new computer vision products are built on the foundations of NVIDIA DeepStream and GStreamer using the NVIDIA Jetson hardware and developed in Python and C++. The technology stack you will work with includes Linux, NVIDIA DeepStream … NVIDIA Jetson, Docker, Python, C++, GStreamer, PostgresSQL, Timescale DB, AWS Cloud, AWS SageMaker, and NoSQL(DynamoDB). What you'll need to succeed You will have strong knowledge and understanding of ML/Data Science concepts, processes, statistical modelling, data and model pipelining and ML algorithms. You will also have ...

embedded or edge systems end-to-end Solid experience with Linux-based embedded platforms Hands-on experience with edge hardware such as Raspberry Pi, Nvidia Jetson, cameras or similar Ability to work close to hardware — installation, optimisation and troubleshooting Experience supporting OTA updates and system reliability in the field Ideally ...

data transfer optimisation, and multi-GPU support Deploy and optimise machine learning models using TensorRT within C++ applications Profile and optimise GPU workloads using NVIDIA Nsight Systems and Nsight Compute Configure GPU hardware and software stacks to maximise runtime performance Evaluate and recommend appropriate GPU hardware for specific workloads Clearly ...

than day-to-day build Willing to travel across Europe (approx. 50%) Desirable Exposure to AI/HPC data centre environments (e.g. GPU-dense, NVIDIA platforms) Experience with high-density, high-power DC designs Background working for an IT services provider or systems integrator Contract Details Inside IR35 Long-term ...

than day-to-day build Willing to travel across Europe (approx. 50%) Desirable Exposure to AI/HPC data centre environments (e.g. GPU-dense, NVIDIA platforms) Experience with high-density, high-power DC designs Background working for an IT services provider or systems integrator Contract Details Inside IR35 Long-term ...

Life on the team Youll join a highly skilled, forward-thinking professional services organisation at the forefront of AI and NVIDIA-driven infrastructure. This is a highly visible, strategic role where youll work closely with senior leadership, NVIDIA, neo-cloud providers, and major enterprise customers operating at massive scale. … wants to have genuine influence over how AI infrastructure is designed and delivered. What youll do Act as the lead technical authority for NVIDIA-based AI and GPU infrastructure solutions. Architect end-to-end datacenter GPU platforms, covering compute, storage, networking, and security. Lead pre-sales engagements, working directly with ...

listed) with a projected GDV materially above £17M. Alongside our real estate strategy, we operate a dedicated AI infrastructure stack centered on an NVIDIA DGX system, used for in-house modelling, automation, and agent development. We are building a small, elite technical team. This role is a core pillar … value people who can think independently. Core Responsibilities You will own the technical backbone of Steadrock's internal systems: Compute Infrastructure (DGX) Manage our NVIDIA DGX server (Linux environment, CUDA, system health) Build, test, and maintain internal APIs (FastAPI/Flask) Design stable ngrok/reverse-proxy/network connections ...

prestigious academic institution. The role requires strong hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run: AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments to ensure successful platform delivery and ongoing operational excellence. Key Responsibilities: Deploy … configure a complete AI/ML Ops platform, including Ubuntu OS, Kubernetes, NVIDIA GPU/Network Operators, and Run: AI orchestration Conduct knowledge transfer, installations, and validate platform performance against AI/ML development requirements Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing updates/patches ...

Life on the team Youll join a highly skilled, forward-thinking professional services organisation at the forefront of AI and NVIDIA-driven infrastructure. This is a highly visible, strategic role where youll work closely with senior leadership, NVIDIA, neo-cloud providers, and major enterprise customers operating at massive scale click ...

usage & integration: Comfortable reading API docs, handling auth, rate limits, and building reliable consumers/producers. Nice to have Routing/optimisation exposure: NVIDIA cuOpt, VROOM, HERE (or similar); familiarity with multi-drop, time windows, packing rules. Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts. Cloud … read TS and collaborate on data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process 30-min intro ...