1 to 25 of 47 Remote/Hybrid NVIDIA Jobs in England

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 ...

/ML/CS or related field. Beneficial knowledge General tooling and platforms: Databricks, AWS, GCP, GitHub, Docker/Kubernetes, MLflow, Jira. Edge deployments: Nvidia Jetson (e.g. AGX Orin), Raspberry Pi, or other embedded accelerators. Distributed model training & infra: Pytorch DDP, FDSP and TorchTitan, Megatron, Slurm, Run:ai, DeepSpeed, Kubernetes ...

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 ...

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 ...

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 ...

safe in production. Deploy and tune GPU‐backed inference services (e.g., A100), optimise CUDA environments, and leverage TensorRT where appropriate. Operate scalable serving frameworks (NVIDIA Triton, TorchServe) with attention to latency, efficiency, resilience, and cost. Implement end‐to‐end observability for models and pipelines: drift, data quality, fairness signals, latency ...

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 ...

also welcome experience or an interest in XR, augmented or mixed reality, spatial computing, digital twins or real‐time platforms such as Unity, NVIDIA Isaac Sim or Unreal Engine. These are valuable additions, but we don't'expect one person to bring experience in every area. Knowledge of containerisation, infrastructure ...

also welcome experience or an interest in XR, augmented or mixed reality, spatial computing, digital twins or real-time platforms such as Unity, NVIDIA Isaac Sim or Unreal Engine. These are valuable additions, but we don't expect one person to bring experience in every area.* Knowledge of containerisation, infrastructure ...

also welcome experience or an interest in XR, augmented or mixed reality, spatial computing, digital twins or real‐time platforms such as Unity, NVIDIA Isaac Sim or Unreal Engine. These are valuable additions, but we don’t expect one person to bring experience in every area. Knowledge of containerisation, infrastructure ...

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 ...

video processing (ingest, frame extraction, transcoding, and A/V sync). Integrate proprietary codec SDKs into AI and media frameworks (e.g., FFmpeg, GStreamer, NVIDIA NeMo). Connect video processing stages to computer-vision and multimodal AI models (for tasks like classification, embeddings, and structured output generation). Prototype ...

Experience publishing Python packages or CLIs that others install (packaging, versioning, backwards compatibility). Experience with GPU workloads on Kubernetes (device plugins, node scheduling, NVIDIA GPU Operator) and with LLM serving tools (vLLM, Triton, NIM). Familiarity with observability tooling (Prometheus, Grafana, OpenTelemetry) and with exposing it for third‐party ...

fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored ...

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 ...

configuration and multi-machine ROS 2 networking. Structured logging, metrics and record/replay tooling. Embedded Linux and edge-computing platforms such as NVIDIA Jetson. What s on Offer Initial 3-month contract with immediate impact. Opportunity to work on real-world robotics and automation technology. Exposure to a modern ...

configuration and multi-machine ROS 2 networking. Structured logging, metrics and record/replay tooling. Embedded Linux and edge-computing platforms such as NVIDIA Jetson. What’s on Offer Initial 3-month contract with immediate impact. Opportunity to work on real-world robotics and automation technology. Exposure to a modern ...

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

fast-paced and dynamic environment Desirable Prior experience developing and deploying autonomous vehicle, robotics, or other safety-critical software on production systems Experience with NVIDIA Drive Orin, Qualcomm automotive platforms, or similar embedded computing platforms Experience with inference, localisation, control algorithms, navigation, odometry or vehicle interfaces will be a huge ...

training, experiment tracking, model registries, containerised deployments, inference optimisation and production monitoring. You will work with cloud platforms and edge devices, including GPU-accelerated NVIDIA Jetson systems. The position is predominantly office and customer-site based in West London, although some remote working will be available. The company is happy … practices, including Git, testing and code reviews. Experience delivering AI or Machine Learning systems into production. Desirable experienceNVIDIA Jetson or other edge AI platforms. NVIDIA DeepStream, GStreamer or FFmpeg. Kubernetes, Kubeflow, ECS, Nomad or other container-orchestration platforms. Airflow, Prefect, Dagster, Metaflow or similar workflow tools. Kafka, Pulsar, Redis Streams ...

methodical experiment evaluation Strong technical background on OS scheduling, computer architecture (memory hierarchy, CPU caches, context switches, ...), and thread synchronisation Desirable Familiarity with Nvidia performance tools such as NV NSight, NV Lumos and tegrastat Familiarity with observability tools such as Grafana (logs, metrics, traces), Databricks, Datadog Familiarity with ...

leading technical initiatives across multiple sites or operational teams. Advanced technical certifications relevant to infrastructure operations. Preferred Experience Experience supporting hyperscale, HPC, AI, or NVIDIA GPU infrastructure. Hands-on server deployment, maintenance, and troubleshooting experience. Strong customer service mindset with experience supporting mission-critical infrastructure. Leadership & Attributes Highly organised with ...

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 Lead ...