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ASOS.com Machine Learning Engineer Job Postings Rise

ASOS.com added four times as many new machine learning engineer job postings in the last 28 days compared to the previous period.

By Ingrid Solberg, Mogi Research · Oct 20, 2026

About ASOS.com

ASOS.com is an online fashion retailer founded in 2000. It is a public company headquartered in London, England. ASOS.com operates as an online retailer and has a headcount of 2,472 employees.

Retail Apparel and Fashion · Operating company · London, London · Founded 2000 · 2,472 employees · Skills: python, machine learning, pytorch, tensorflow

ASOS.com posted five new machine learning engineer jobs in the last 28 days, a rise of four hundred percent from one posting in the prior period. This surge may signal increased investment in artificial intelligence capabilities within the company's operations.

The company's job postings for this role saw a significant increase. This change may reflect a growing focus on developing or enhancing machine learning models for areas such as personalization, inventory management, or customer service.

Other employers like JPMorgan Chase and Wayve also posted new machine learning engineer jobs, with JPMorgan Chase adding sixteen and Wayve adding eight. These postings could indicate a broader interest in machine learning talent across different sectors, though ASOS.com's percentage change was the most significant among those with prior period data.

The numbers

Which employers posted the most new machine learning engineer jobs in United Kingdom in the last 28 days?

NameLast 28 daysThe 28 beforeChange
ASOS.com51+400%
JPMorgan Chase160n/a
Wayve80n/a
Faculty64+50%
Snap Inc.50n/a

Top roles: Machine Learning Engineer (5)

More on ASOS.com

Counts are job postings, not hires, from company career sites that Mogi's crawl found. Compares the 28 days to 2026-10-20 with the 28 days before them. Covers GB, all states, Machine Learning Engineer. Employers with fewer than five postings in the last eight weeks are grouped together and left out of the rankings. The company details come from the crawl's company profiles, where the crawl has one.

Written by Ingrid Solberg of Mogi Research, with AI from the table above. Every figure in it comes from that table.

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