17 of 17 NVIDIA Jobs in the UK excluding London

cause analysis. Skills & Experience Required 5+ years in networking, preferably in a hyperscaler or HPC environment Proficient with L2/L3 protocols, automation tools, and AI fabrics Familiarity with NVIDIA Spectrum or similar switches is a plus Certifications: CCNP, Arista ACE, JNCIP What We Offer Competitive salary or daily contract rates Access to cutting-edge AI infrastructure projects Opportunities for More ❯

impactful environment. Key Responsibilities: Design and develop high-performance C++ and Python code Port and optimise deep learning models for deployment on edge devices Work with tools such as Nvidia DeepStream and Triton Inference Server Collaborate with international teams including software developers and AI researchers. Essential Skills & Experience: Degree in Computer Science or a related field. Strong experience in modern More ❯

and cabling schematics Comfortable working hands-on in data center environments (lifting, racking, connecting, etc.) Desirable Skills: Previous work on AI, machine learning, or HPC cluster deployments Experience with NVIDIA GPUs, DGX systems, or custom AI racks Knowledge of Ansible, Redfish, PXE boot, or infrastructure automation tools Certifications: CompTIA Server+, Cisco CCNA, BICSI, or similar Understanding of thermal and power More ❯

Kubernetes management. Technical Competence: Ability to interpret logs and debug issues via command-line tools and scripts alongside other troubleshooting methods. GPU: understanding of utilisation and troubleshooting methods for Nvidia based GPU's Soft Skills: Strong detail orientated communication skills tailored to diverse audiences. Customer-focused problem-solving and support abilities with a focus on quality of interaction/experience. More ❯

and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology More ❯

ROS, including advanced OpenCV, Boost, Standard library, and Jsoncpp for efficient data processing and manipulation. Implement machine learning models for object detection, particularly using YOLOv5, and optimize performance using Nvidia CUDA hardware acceleration. Develop, test, and deploy cloud-based applications and simulations, using Azure DevOps, Docker, and cloud-based agents for continuous integration and deployment. Write and maintain unit tests More ❯

define infrastructure strategies that are scalable and meet the needs of the business. Design deployment architectures for high availability, performance, and cost-efficiency across on-premise (e.g., HP, Intel, Nvidia) and cloud platforms (e.g., Azure, AWS)." Evaluate and recommend hardware, software, and networking solutions, including virtualization strategies (e.g., Hyper-V, Kubernetes, VMware). Manage relationships with hardware and software More ❯

HPE level 3 support and engineering teams to diagnose complex issues and implement resolution actions Interact with third parties involved in the overall HPC solution: Red Hat, AMD, Intel, Nvidia, SchedMD, Collaborate with the Customer sysadmin and support teams Manage the customer relationship, including verbal & written communication We are looking for an experienced IT professional: With expert level knowledge and More ❯

Core, SOAP/REST APIs, and MySQL/PostgreSQL, Red Hat OpenShift, Kubernetes Understanding of DevOps, cloud deployments, and service observability Bonus: Interest/experience in AI, digital twins, Nvidia Omniverse SDK & APIs, Universal Scene Description What We Offer : Reimbursement for tuition and professional dues Three weeks of vacation and five paid personal days (to start) RRSP matching program Free More ❯

on performance and real-time responsiveness. Essential Skills- Strong experience with speech technologies (e.g., Whisper, DeepSpeech, Tacotron, VITS, etc.). Familiarity with video synthesis and avatar animation (e.g., DeepMotion, NVIDIA Omniverse, D-ID, or similar). Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow). Experience with real-time systems, streaming protocols, and GPU acceleration. A creative mindset and More ❯

hardware partners, client field teams The Successful CTO will have: Proficiency in Python, PyTorch, OpenCV, ONNX, TorchScript/TensorRT Experience deploying production-grade AI in edge environments (Jetson/NVIDIA) Comfortable leading projects from concept to field deployment Detail-oriented and execution-driven Mission-aligned: You care about technology that serves people and ecosystems Willingness to travel outside of UK More ❯

hardware partners, client field teams The Successful CTO will have: Proficiency in Python, PyTorch, OpenCV, ONNX, TorchScript/TensorRT Experience deploying production-grade AI in edge environments (Jetson/NVIDIA) Comfortable leading projects from concept to field deployment Detail-oriented and execution-driven Mission-aligned: You care about technology that serves people and ecosystems Willingness to travel outside of UK More ❯

demand across vendor sales teams AI Solution sales motions that enable CC sellers to engage with leading-edge AI vendors across all five solution areas with specific focus on Nvidia/Intel/AMD and Qualcomm. AI Core - datacenter and netsec AI Cloud - cloud and apps Adherence to policy Acts in accordance with Computacenter Information Security Policies and report any More ❯

PDUs) Desirable Skills: Previous work on large-scale AI, HPC, or cloud infrastructure projects Certifications such as BICSI, CNCI, or similar Familiarity with AI-focused hardware (e.g., GPU clusters, NVIDIA infrastructure) Ability to work independently and meet tight deployment time lines What We Offer: Competitive daily rate (based on experience) Exposure to cutting-edge AI infrastructure deployments Supportive and fast More ❯

platform C++ code libraries (Linux, Windows, Android) using CMake. Build and integrate robotics applications using ROS, OpenCV, Boost, and Jsoncpp. Implement and optimise object detection models (e.g. YOLOv5) with Nvidia CUDA acceleration. Develop and deploy cloud-based applications using Azure DevOps, Docker, and CI/CD pipelines. Write unit tests with Google Test Framework and manage automated testing in Azure … YAML scripting). Interface with sensors and hardware (Nvidia Jetson, Raspberry Pi, depth cameras, 3D point cloud sensors). Develop communication protocols and safety systems for autonomous navigation using Mavlink. Collaborate with pilots and stakeholders to ensure safe handover between autonomous and manual control. Maintain C++ cross-language interfaces, particularly with C#. Required Skills: Strong proficiency in C++ and object … interface development. Knowledge of Mavlink and flight controller integration. Desirable Experience: Working with depth cameras, 3D point cloud data, and sensor fusion techniques (e.g. Kalman filters). Experience with Nvidia Jetson, Raspberry Pi, and embedded systems. Machine learning for object detection (YOLOv5) and CUDA optimisation. Strong communication and stakeholder engagement skills. Azure DevOps and YAML pipeline scripting. More ❯

or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and CUDA/Nvidia for performance optimization in training and inference. Collaborate with data engineers, software developers, and product teams to deliver AI/ML capabilities in production. Conduct rigorous model evaluations, A/… based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management tools like AWS SageMaker, MLflow, or Databricks. Working knowledge of CUDA, Nvidia GPUs, and distributed training. Experience with AWS services (S3, Lambda, EC2, SageMaker, Bedrock, etc.). Desired: Experience deploying models as APIs/microservices in cloud-native environments. Familiarity with prompt More ❯

Support hardware refresh cycles, upgrades, and component replacements. Document deployment processes and hardware configurations. Requirements 3+ years in data centre or large-scale hardware installation roles Strong experience with NVIDIA DGX/HGX systems or similar GPU deployments Familiarity with structured cabling standards (CAT6/OM4) Experience working in hyperscale environments preferred Certifications: CompTIA Server+, DCIM training, manufacturer training (NVIDIA More ❯