
10,000+ employees
Founded 1993
đ„ Healthcare
đ Manufacturing
đ€ Artificial Intelligence
Healthcare âą Manufacturing âą 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.
đ„ 16 hours ago
đ United Kingdom, France â Remote
â° Full Time
đ Senior
đ€ AI Engineer
đŹđ§ UK Skilled Worker Visa Sponsor
đ» Ghost score 11%
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10,000+ employees
Founded 1993
đ„ Healthcare
đ Manufacturing
đ€ Artificial Intelligence
Healthcare âą Manufacturing âą 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.
âą Execute the EMEA Agentic AI Platform GTM plan across open models, Nemotron adoption, regulated software hardening, confidential computing, cybersecurity, and secure AI deployment âą Position NVIDIA Agent Toolkit, NeMo, Nemotron, NIM, Dynamo, CUDA-X libraries, evaluation harnesses, guardrails, DGX OS, and AI Enterprise as one adoption path âą Refine the sales toolkit across technical, commercial, legal, support, and terms-and-conditions tracks âą Work across 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 âą 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 âą Refine reference architectures and enablement for enterprise, sovereign, air-gapped, regulated cloud, private cloud, hyperscaler, and secure multi-tenant AI environments âą Partner with cybersecurity and infrastructure ecosystem partners to secure agentic AI deployments and facilitate AI Factory adoption for regulated customers âą Share EMEA customer and partner requirements with product and engineering where packaging, support, documentation, security, or legal clarity affects adoption
âą BS/MS in Computer Science, Engineering, AI/ML, Cybersecurity, or equivalent practical experience âą 12+ years in software GTM, developer relations, technical partnerships, product management, solution architecture, cybersecurity, or AI platform role âą Strong understanding of leading open/open-weight models, such as Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, Mistral, and others âą Hands-on understanding of LLMs, agentic AI, open-weight models, inference, fine-tuning, RAG, evaluation, guardrails, model routing, and enterprise deployment patterns âą Experience with regulated enterprise, public sector, defense, FSI, healthcare, telecom, cloud provider, or sovereign cloud environments where governance and trust are major adoption factors âą Understanding of confidential computing, cybersecurity, secure deployment, Kubernetes, Linux, identity, encryption, secrets, data control, and software lifecycle operations âą Ability to translate complex model, licensing, legal, security, and deployment topics into practical field guidance and commercially useful sales plays âą Strong executive communication skills and comfort leading multi-stakeholder work across customer, partner, field, product, legal, security, and engineering teams âą Commercial judgement to qualify opportunities, align success criteria, and connect technical adoption to revenue outcomes âą 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 âą Experience turning agentic AI, open models, secure AI deployment, or regulated AI requirements into field playbooks, workshops, demos, and executive content âą Familiarity with EU AI Act / GPAI themes, model licensing, data residency, model provenance, confidential computing, zero-trust architecture, or sovereign AI positioning âą Track record launching cross-functional GTM programs that created production adoption, customer references, or partner-led revenue
âą Highly competitive salaries âą Comprehensive benefits package
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đŹđ§ United Kingdom â Remote
đ° Post-IPO Debt on 2023-01
â° Full Time
đ Senior
đ€ AI Engineer