
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 0 minutes ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟠 Senior
🤖 AI Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
👻 Ghost score 11%
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Execute the EMEA Agentic AI Platform GTM plan across open models, Nemotron adoption, regulated software hardening, confidential computing, cybersecurity, and secure AI deployment • Position NVIDIA Agent Toolkit, NeMo, Nemotron, NIM, Dynamo, CUDA-X libraries, evaluation harnesses, guardrails, DGX OS, and AI Enterprise as one adoption path • Refine the sales toolkit across technical, commercial, legal, support, and terms-and-conditions tracks • Work with AI-native, enterprise, ISV, cloud provider, OEM, GSI, developer relations, solution architecture, product, legal, security, and field teams to identify priority workloads and unblock adoption • Act as the EMEA point person for open and sovereign model field guidance, including licensing, EU AI Act/GPAI, IP/data/security, model provenance, deployment, support, and export considerations • Refine reference architectures and enablement for enterprise, sovereign, air-gapped, regulated cloud, private cloud, hyperscaler, and secure multi-tenant AI environments • Partner with cybersecurity and infrastructure ecosystem partners to secure agentic AI deployments and facilitate AI Factory adoption for regulated customers • Share EMEA customer and partner requirements with product and engineering where packaging, support, documentation, security, or legal clarity affects adoption
• BS/MS in Computer Science, Engineering, AI/ML, Cybersecurity, or equivalent practical experience • 12+ years in software GTM, developer relations, technical partnerships, product management, solution architecture, cybersecurity, or AI platform roles • Strong understanding of leading open/open-weight models, such as Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, Mistral, and others • Hands-on understanding of LLMs, agentic AI, open-weight models, inference, fine-tuning, RAG, evaluation, guardrails, model routing, and enterprise deployment patterns • Experience with regulated enterprise, public sector, defense, FSI, healthcare, telecom, cloud provider, or sovereign cloud environments where governance and trust are major adoption factors • Understanding of confidential computing, cybersecurity, secure deployment, Kubernetes, Linux, identity, encryption, secrets, data control, and software lifecycle operations • Ability to translate complex model, licensing, legal, security, and deployment topics into practical field guidance and commercially useful sales plays • Strong executive communication skills and comfort leading multi-stakeholder work across customer, partner, field, product, legal, security, and engineering teams • Commercial judgement to qualify opportunities, align success criteria, and connect technical adoption to revenue outcomes • Experience with Nemotron, DeepSeek, Qwen, Mistral, MiniMax, GLM, Kimi, NeMo, NIM, NVIDIA Agent Toolkit, Dynamo, TensorRT-LLM, Triton, vLLM, SGLang, Hugging Face, or similar ecosystems • Experience turning agentic AI, open models, secure AI deployment, or regulated AI requirements into field playbooks, workshops, demos, and executive content • Familiarity with EU AI Act / GPAI themes, model licensing, data residency, model provenance, confidential computing, zero-trust architecture, or sovereign AI positioning • Track record launching cross-functional GTM programs that created production adoption, customer references, or partner-led revenue
• Highly competitive salaries • Comprehensive benefits package
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