AI Computer Vision Engineer

Are you an AI Integration Engineer with strong technical and creative skills? Are you interested in shaping the next generation of AI-driven interactive media, XR and digital learning experiences - at one of the best universities in the world Then the role of AI Computer Vision Engineer could be for you!, At the heart of this role is the opportunity to build systems that see, understand, and respond in real time. You will work across computer vision, spatial computing, and immersive technologies, developing capabilities like object detection, gesture recognition, and scene understanding that bring digital environments to life.

A key part of the work will involve developing AI-driven characters and interactions within VR simulations for example, enabling students to engage with an AI-powered tutor inside a virtual lab environment. These systems may combine local AI models with real-time perception and interaction, allowing users to ask questions, receive guidance, and participate in dynamic, responsive learning experiences. The work will directly shape how students and learners interact with content making experiences more intuitive, intelligent, and engaging.

This is as much a research and development role as it is an engineering one. You will explore emerging tools, frameworks, and approaches, creating and deploying proof-of-concepts for new ideas and evaluating what works then translating those insights into robust, production-ready systems.

Do you have experience in gRPC?, * 5+ years' professional experience in AI/ML engineering, applied machine learning, or AI systems integration

• Strong proficiency in Python (primary AI/ML language) and familiarity with JavaScript/TypeScript
• Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, and transformer-based ecosystems
• Practical knowledge of hosting and serving AI models (vLLM, TensorRT, ONNX Runtime, FastAPI, Flask, Ollama, LM Studio)
• Experience with game engine integration (Unity ML-Agents, Unreal Engine plugins, custom API bridges)
• Understanding of REST APIs, WebSockets, and gRPC for real-time AI communication
• Experience with containerization and orchestration (Docker, Kubernetes) for AI deployment
• Knowledge of GPU infrastructure management and optimization (CUDA, compute optimization)
• Familiarity with version control systems (Git, Git LFS for model versioning, Perforce)
• Strong problem-solving, testing, and debugging skills for AI systems
• Experience creating documentation for AI systems, APIs, and integration workflows
• Self-starter, confident with independent and small-team development
• Experience with model fine-tuning, quantisation, or optimisation techniques
• Deployment and management of local LLM environments (e.g. Ollama, LocalAI, vLLM, LM Studio

• The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
• Benefit from a sector-leading salary and remuneration package (including 41 days' annual leave and generous pension schemes).
• Access to a range of workplace benefits including a flexible working policy from day one, generous family leave packages, on-site leisure facilities and cycle-to-work scheme.
• Interest-free season ticket loan schemes for travel.
• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact. Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network. This is your chance to help shape the future. We hope you'll join us at Imperial College London.