Machine Learning Engineer - Founding Team (Computer Vision / GenAI) (London)
A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems.
What You’ll Work On:
Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet).
Design and implement pipelines that support retrieval-augmented generation, internal AI tools, and scalable content delivery. Experience with vector databases, agent frameworks, or data workflows is highly relevant.
Own model deployment pipelines, including API-based serving, monitoring, and cloud infrastructure (AWS preferred, but others welcome). Bonus points for edge/offline deployment experience.
Work directly with the founder on roadmap decisions, help shape technical direction, and grow into a potential leadership role as the team expands.
About You:
- 2–5+ years of experience in ML/CV/GenAI
- Proficiency in Python, ML frameworks, and cloud-based infrastructure
- Product-focused mindset with a desire to shape early-stage tech
- UK-based and open to occasional travel for testing and collaboration
Why Join:
- Build something novel at the intersection of CV and GenAI
- Be part of the founding team with real influence and equity
- Work remotely with the flexibility to grow your role as we scale
- Backed by strong early traction and funding
- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionEngineering and Information Technology
- IndustriesHigher Education
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#J-18808-Ljbffr- Company
- Brio Digital
- Location
- London, UK
Hybrid / WFH Options - Employment Type
- Full-time
- Posted
- Company
- Brio Digital
- Location
- London, UK
Hybrid / WFH Options - Employment Type
- Full-time
- Posted