Nvidia AI Engineer

Central London | Hybrid – one day per week | Up to £130,000 + benefits We are looking for an experienced NVIDIA AI Engineer to design and deliver innovative AI solutions for enterprise and public-sector clients. You will build proofs of concept, agentic workflows, copilots and production-ready accelerators, turning complex client challenges into secure and scalable solutions. Key responsibilities:

• Build AI prototypes, demonstrations and production solutions.
• Develop agentic AI, RAG and multimodal applications.
• Optimise LLM inference pipelines.
• Create reusable accelerators and deployment patterns.
• Present solutions to technical and senior business stakeholders.
• Support deployments across Azure, hybrid and sovereign-cloud environments.
• Apply appropriate AI security, governance and monitoring. Essential experience:
• Strong Python and LLM application-development skills.
• Commercial experience with NVIDIA's AI stack, such as NIM, NeMo, TensorRT-LLM, Triton or AI Blueprints.
• Strong Azure experience, including Azure OpenAI, AI Foundry, AI Search, Azure Machine Learning or AKS.
• Experience with RAG, APIs, Docker, Kubernetes and CI/CD.
• A track record of delivering AI prototypes or solutions for enterprise clients.
• A relevant master's degree.
• At least one current NVIDIA certification. You should be comfortable combining hands-on engineering with client-facing work and able to move quickly from an initial idea to a secure, demonstrable solution. Experience within government, financial services, healthcare, life sciences or another regulated sector would be beneficial.