AI Engineer
WGSN
About this role
The Full-Stack AI Engineer at WGSN is part of the Data Science and Engineering function, focused on turning AI and LLM prototypes into production-grade systems that power products and internal tools. The role sits within a trend-forecasting, data-driven organisation and supports next-generation AI capabilities across the business. The engineer will work across the full AI lifecycle in close collaboration with data scientists, data engineers, and product teams. They are expected to operate in a fast-paced, office-based environment in London with strong opportunities for learning and development.
Skills
Qualifications
About WGSN
wgsn.comWGSN is a global authority on change that combines expert trend forecasting with data science to help brands, retailers, designers and product teams anticipate fashion, lifestyle and consumer trends. It delivers subscription-based research, trend reports, color and materials guidance, market intelligence, analytics and bespoke consulting to support product design, merchandising and strategic planning. Companies rely on WGSN’s forward-looking insights and analyst expertise to inform innovation, marketing and R&D with actionable recommendations and global coverage.
Recent company news
WGSN acquires IWSR, enhancing its AI, data analytics and
Jun 5, 2025
It’s Not a Product. This Habit Will Be the Biggest Luxury of 2026
1 month ago
Here's how the fashion industry is using AI to predict the next big trend
Oct 4, 2025
IWSR joins WGSN in move that reshapes drinks data landscape
Jun 6, 2025
Apax backs WGSN’s acquisition of IWSR with further €3m investment
Jun 6, 2025
About WGSN
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for WGSN.
Salary
$172k – $232k
per year