You will join a high-growth London team to spearhead the implementation of advanced computer vision models. As a key technical hire, you will bridge the gap between data science and product, developing visual search, verification, or merchandising systems that redefine the user experience within a rapidly scaling commerce ecosystem.
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Machine Learning Engineer at Fleek
Are you a computer vision expert looking to build at the intersection of AI and commerce? This London-based startup is hiring a Principal-level ML Engineer to lead their vision initiatives. From object detection to visual verification, you'll have the autonomy to build production-grade systems that directly impact the user experience of a scaling platform. Based in Shoreditch, this role offers the perfect blend of deep technical research and high-impact product engineering for someone ready to own the ML roadmap.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Fleek
Role overview
Technology100 employees
Fleek is a global online marketplace specializing in wholesale second-hand fashion. The platform connects retailers and resellers with verified vintage wholesalers around the world, making it easier to source high-quality used clothing in bulk. Fleek addresses the fragmented and often offline supply chain of vintage apparel by providing a transparent, secure, and scalable solution for both buyers and sellers. Founded in 2021, Fleek serves thousands of resellers and retailers in over 70 countries, moving millions of vintage clothing items from a vast network of wholesale suppliers. The company is backed by prominent investors, including Y Combinator, and has raised significant funding to expand its market reach and technical capabilities.
What you will do
- Design, train, and deploy computer vision models for applications such as object detection, image verification, or automated merchandising.
- Collaborate with product and engineering teams to integrate ML features into the core platform to drive user engagement.
- Optimize model performance and scalability to handle high-traffic commerce environments and diverse visual datasets.
Who this is a fit for
- Proven expertise in computer vision technologies, including experience with object detection, image classification, or visual search.
- Strong background as a Machine Learning Engineer or Data Scientist with a track record of moving models into production.
- Proficiency in modern ML frameworks (such as PyTorch or TensorFlow) and a desire to work in a fast-paced startup environment.
Why this role is remarkable
- Significant technical ownership to shape the vision strategy of a scaling marketplace platform from an early stage.
- Work in a high-density talent environment located in the heart of Shoreditch with a hybrid 3-4 day office culture.
- Opportunity to transition between research and production, applying cutting-edge CV models to real-world consumer problems.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Fleek wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.