Senior Data Scientist

🚀 Lead Data Scientist, Computer Vision

📍 London, UK (Hybrid) | 🕒 Full-time

Help reinvent how the world discovers fashion.

We’re building a new era in fashion discovery — one that ignites body confidence in everybody and every body. Imagine Shazam meets Spotify, but for fashion.

Our community is tired of endless scrolling, paid ads and dead-end links. They want fashion that actually fits: in stock, in their size, and at the best price. We're creating a search experience that puts people at the centre of discovery.

As a female-founded fashion-tech startup, we're at an exciting stage — shaping something genuinely game-changing. Now we’re looking for an exceptional Lead Data Scientist (Computer Vision) to help build the intelligence at the heart of our platform.

🔍 The Role

This is a hands-on technical leadership role responsible for architecting and building the computer vision engine powering the platform’s discovery experience.

You’ll design, implement and productionise state-of-the-art models across image understanding, embeddings, object detection and emerging agentic AI systems.

You’ll work closely with the founders, product and engineering teams to shape the long-term AI and data strategy, making pragmatic technical decisions in a fast-moving startup environment.

⚠️ This role is 90% hands-on engineering. It is not a pure management role or a research-only position.

🧠 What You’ll Do

Hands-on Computer Vision Leadership

• Design, build and deploy production computer vision and agentic AI systems powering search, recommendations and personalisation
• Own the full data science lifecycle: problem framing → modelling → deployment → monitoring → iteration
• Make pragmatic trade-offs between speed, quality and technical elegance

Product & User Impact

• Translate messy real-world user problems into testable ML solutions
• Partner closely with Product to ensure models improve user trust, confidence and discovery
• Focus on feature value, ROI and the signals that truly matter

Data Foundations

• Work hands-on with imperfect datasets
• Design annotation strategies, data quality frameworks and evaluation pipelines
• Decide where data investment matters most

Technical Direction & MLOps

• Establish pragmatic MLOps practices (deployment, monitoring, iteration)
• Build scalable but lightweight ML pipelines in AWS alongside engineering
• Ensure models are robust, reliable and safe for production

Team & Culture

• Set the technical bar for data science
• Mentor future data scientists as the team grows
• Bring curiosity, humility and ownership to a high-ambiguity startup environment

✅ What We’re Looking For

• Bachelor’s or Master’s in Computer Science, Mathematics or related field
• Strong computer vision expertise and experience fine-tuning state-of-the-art models
• Deep learning experience (e.g. PyTorch, CUDA, model optimisation for training and inference)
• Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring)
• Solid understanding of data engineering, data quality and annotation strategies
• Comfortable working in fast-paced startup environments
• A simplicity-first mindset — only introduce complexity when it’s needed
• Excellent communication skills across technical and non-technical audiences

🌟 Why Join?

• Build the core AI engine of a breakthrough fashion discovery platform
• Work directly with founders on product and technical strategy
• Join a mission-driven, female-founded startup at a defining growth stage
• Shape a product designed to make fashion discovery more inclusive, empowering and intelligent

💌 Interested?

We’d love to hear from exceptional builders who want to shape the future of fashion discovery.

Apply via LinkedIn or reach out directly.