Machine Learning Engineer – Founding Team (Computer Vision / GenAI)

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Machine Learning Engineer – Founding Team (Computer Vision / GenAI), London

Client:

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Views:

4

Posted:

26.06.2025

Expiry Date:

10.08.2025

Job Description:

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:

• Computer Vision: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).
• LLM & RAG Systems: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.
• Deployment & MLOps: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

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