1 to 25 of 62 NVIDIA Jobs in England

for classified workloads. Perform cyber risk assessments and compliance mapping (NCSC CAF, JSP 440, NIST 800-53, DEF STAN). Implement zero-trust security controls across HPC fabrics (SELinux, NVIDIA security stack, OPA policies). Integrate real-time threat detection via SIEM (Splunk/Elastic) with HPC telemetry and anomaly hunting. Lead Cyber Security exercises adapted to HPC (MITRE ATT More ❯

Cyber security benchmarking & hardening: NCSC CAF, CIS Top 20, NIST 800-53, JSP 440, DEF STAN - full IL5/IL6 compliance. Zero-trust architecture: SELinux/AppArmor, OPA Gatekeeper, NVIDIA DCGM, cross-domain solutions. Automation & IaC: Ansible, Terraform, Python/Bash/Go for repeatable secure builds. Threat modelling & audits: Red-team HPC workloads, SIEM integration (Splunk/Elastic), vulnerability More ❯

exchange protocols. Defining and creating MLOPs pipeline Good to Have Skills GenAI Exposure:Experience with LLMs, LangChain, HuggingFace, synthetic data generation, and prompt engineering. Digital Twin Integration:Familiarity with nVidia Omniverse, AWS TwinMaker, Azure Digital Twin or similar platforms and concepts Visualization Tools:Power BI, Grafana, or custom dashboards for operational insights. DevOps & Automation:CI/CD tools (Jenkins, GitHub More ❯

Kubernetes, CI/CD Deep understanding of ML/DL algorithms, model evaluation, and data engineering Strong communicator and collaborator across technical and business teams Bonus Points Experience with NVIDIA CUDA, cuDNN, TensorRT, and GPU acceleration Familiarity with HPC workloads and vector databases (FAISS, Pinecone) Knowledge of ethical AI frameworks and global compliance standards Why HCLTech? Work on mission-critical More ❯

Experience of managing Linux systems at scale. o Experience managing IT projects. o Experience setting up and supporting batch queueing systems (i.e. slurm) o Experience setting up and supporting Nvidia GPU systems o Ability to write well documented code in a high-level language or script (Python/Perl) o Experience in managing Unix systems other than Linux would be 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 ❯

InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯

Anaplan is the backbone of business planning for some of the world’s most influential companies, including Coca-Cola, Nvidia, J&J, LvmH and JLR. As the trusted platform with native AI capabilities, we empower thousands of organizations to connect their planning process across supply chain, finance, and sales planning—driving more intelligent decisions faster. By partnering with Anaplan, businesses More ❯

InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial More ❯

opportunity to develop skills with the following tools and platforms: Matlab and Simulink Python Deep Learning libraries (e.g. Pytorch, scikit-learn, ONNX) C/C++ Hardware development boards (e.g. NVIDIA Jetson products) Alongside involvement with departmental activities, you will be part of a wider cohort of summer placements and graduates on the Early Careers Programme; benefits from this include receiving More ❯

HPC, or related infrastructure technology sectors. A proven track record of developing and executing product strategies that delivered measurable commercial success. Deep technical understanding of Generative AI, GPU architectures (NVIDIA H100/H200, A100, A6000), HPC, and ML/AI workloads. Ability to operate strategically but remain hands-on in execution when required. Strong commercial acumen with the ability to More ❯

system testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

system testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

system testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from More ❯

R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from More ❯

product experts. Key Responsibilities Design, train, and deploy Computer Vision models for detection, segmentation, tracking, and behavior understanding. Optimize inference pipelines for real-time performance on edge devices (e.g., NVIDIA Jetson, Coral) and cloud infrastructure . Collaborate with data and product teams to define new use cases, prototype solutions, and take models from lab to production. Develop synthetic data generation More ❯

and enhance automation using GitLab, Packer, Terraform, Ansible, and Ansible Galaxy Support secure infrastructure operations using tooling such as HashiCorp Vault and Temporal Work with HPC-related technologies including Nvidia Spectrum X Contribute to continuous improvement across OS lifecycle management and automation pipelines Requirements: Strong experience working with Linux in automated or IaC-driven environments Hands-on experience with tools More ❯

and enhance automation using GitLab, Packer, Terraform, Ansible, and Ansible Galaxy Support secure infrastructure operations using tooling such as HashiCorp Vault and Temporal Work with HPC-related technologies including Nvidia Spectrum X Contribute to continuous improvement across OS lifecycle management and automation pipelines Requirements: Strong experience working with Linux in automated or IaC-driven environments Hands-on experience with tools More ❯

Overview As a Full Stack Commerce Engineer Manager , you will: Lead client-facing engagements and design AI-powered solutions. Build full-stack applications integrating Generative AI (OpenAI, Google Gemini, Nvidia). Architect data flows across enterprise platforms (DAM, PXM, CDP, CMS, CRMs). Work with cloud platforms (Azure/GCP) and advanced databases (SQL/NoSQL). Mentor teams and More ❯

Overview As a Full Stack Commerce Engineer Manager , you will: Lead client-facing engagements and design AI-powered solutions. Build full-stack applications integrating Generative AI (OpenAI, Google Gemini, Nvidia). Architect data flows across enterprise platforms (DAM, PXM, CDP, CMS, CRMs). Work with cloud platforms (Azure/GCP) and advanced databases (SQL/NoSQL). Mentor teams and More ❯

with networks Using HPe Synergy Compute in a virtual environment VMWare vSphere (ESXi) in a managed environment (vCenter) HPe DL and ML standalone server deploy and manage (optional) with nVidia graphics accelerators for AI and high-capacity compute Windows server OS management in a VM environment Active Directly management and use as an admin tool (optional) Redhat and BSD Linux More ❯

R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Computer Vision Engineer - Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from More ❯

R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Engineer – Computer Vision/Autonomous Machinery 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning More ❯

discipline. Proven experience with modern 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 salary, benefits package, and opportunities More ❯