1 to 25 of 327 Permanent NVIDIA Jobs in the UK

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 ...

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 plus Cloud-Native & Infrastructure • Deep expertise in 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 ...

/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 ...

/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 ...

Ways of working: Agile delivery and engineering career frameworks. General tooling and platforms: Databricks, AWS, GCP, GitHub, Docker/Kubernetes, MLflow, Jira. Edge deployments: Nvidia Jetson (e.g. Jetson Thor), Raspberry Pi, or other embedded accelerators. Working at Rowden We are committed to building a flexible, inclusive, and enabling company. ...

seamless integration into existing AI and HPC infrastructure. Its current PT-2 system, a rack-mounted quantum computer, connects directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads with significantly lower energy consumption than traditional silicon-based systems. Backed by a strong portfolio of patent ...

CrewAI, or other agentic frameworks. Familiarity with MLflow, Kubeflow, Ragas, DeepEval, OpenJudge, LangSmith, or comparable MLOps/LLMOps and evaluation tooling. Experience with vLLM, NVIDIA Triton, quantization, GPU memory sizing, or distributed inference. Python backend APIs (FastAPI, Flask, or similar); OpenTelemetry and AI observability. AI safety, prompt injection evaluation, privacy ...

CrewAI, or other agentic frameworks. Familiarity with MLflow, Kubeflow, Ragas, DeepEval, OpenJudge, LangSmith, or comparable MLOps/LLMOps and evaluation tooling. Experience with vLLM, NVIDIA Triton, quantization, GPU memory sizing, or distributed inference. Python backend APIs (FastAPI, Flask, or similar); OpenTelemetry and AI observability. AI safety, prompt injection evaluation, privacy ...

experience with HPC clusters, AI/ML infrastructure, or GPU-accelerated systems. Strong knowledge of server architecture (x86/ARM), CPU/GPU platforms (NVIDIA/AMD), memory, storage, and networking. Experience with high-speed interconnects (InfiniBand, RDMA, NVLink, high-performance Ethernet). Familiarity with OEM server platforms and system ...

Python, including services, APIs, messaging, and system integrations. Experience with ROS or ROS 2, MAVLink, or CAN/CANbus. Hands-on experience with NVIDIA Jetson, Raspberry Pi, or similar edge-compute hardware. Familiarity with TAK, ATAK, tactical networks, Starlink, or satellite communications. Experience with cloud-connected and disconnected-edge architectures. ...

with engineering teams through pairing, sprint participation, and design decisions grounded in operational delivery Experience working effectively in distributed, asynchronous teams, preferably Exposure to NVIDIA DGX-class systems, InfiniBand or RoCE fabrics, and VAST Data or comparable HPC/AI storage, preferably Experience with vSphere or VMware Cloud Foundation estates ...

expect one person to bring experience in every area.* You may also bring experience with emerging technologies such as NeRFs, Gaussian Splatting, NVIDIA Omniverse, Unity or Unreal, or knowledge of model explainability, open-source licensing or CI/CD-based testing of robotics and machine learning pipelines. These are helpful ...

expect one person to bring experience in every area. You may also bring experience with emerging technologies such as NeRFs, Gaussian Splatting, NVIDIA Omniverse, Unity or Unreal, or knowledge of model explainability, open-source licensing or CI/CD-based testing of robotics and machine learning pipelines. These are helpful ...

Haves Experience troubleshooting, provisioning, or operating bare-metal server infrastructure. Experience operating or troubleshooting GPU, HPC, or other high-performance compute infrastructure. Familiarity with NVIDIA GPUs, DCGM, InfiniBand, RoCE/RDMA, NVLink, or high-speed data center networking. Experience with hardware management and provisioning technologies such as PXE, BMC, IPMI ...

NCCL, and GPU-accelerated applications. Experience benchmarking and tuning scientific, engineering, AI, and data analytics workloads on large-scale HPC platforms. Strong understanding of NVIDIA GPU technologies and architectures, including H100, H200, B200, and GB200/GB300. Hands-on experience with high-performance networking technologies such as InfiniBand and RoCEv2. ...

into existing AI and HPC infrastructure. ORCA PT Series quantum systems are room temperature and rack-mounted which connect directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads delivering advantages over traditional silicon-based systems. Backed by a strong portfolio of patent families spanning photonic ...

expect one person to bring experience in every area. You may also bring experience with emerging technologies such as NeRFs, Gaussian Splatting, NVIDIA Omniverse, Unity or Unreal, or knowledge of model explainability, open‐source licensing or CI/CD‐based testing of robotics and machine learning pipelines. These are helpful ...

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 ...

/Azure/Sovereign Cloud) to ensure absolute data isolation between global industrial customers. GPU Orchestration: Manage autoscaling and high‐performance scheduling for NVIDIA H100/L40 clusters to handle "bursty" physics inference demands. Hybrid‐Cloud Networking: Manage data gravity and secure connectivity between public clouds and sovereign "Industrial ...

into existing AI and HPC infrastructure. ORCA PT Series quantum systems are room temperature and rack-mounted which connect directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads delivering advantages over traditional silicon-based systems. Backed by a strong portfolio of patent families spanning photonic ...

understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture ...

understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture ...

understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture ...