SkillTrendLab
Skill · Machine learning · Foundations and problem-solving

Machine Learning

Learning models from data, as a field.

25.5%
of core AI postings mention it
897
postings
502
companies

History starts on September 11, 2026. Movement needs a comparable later edition at least 30 days on.

Where it is mentioned most

Each row divides by that role's postings in this edition, highest share first.

Reading this edition

Postings in 10 role families mention Machine Learning in this edition.

In 5 of the 8 role families with a page of their own, at least one posting in five mentions Machine Learning: Data Scientist 70.2%, Algorithm Engineer 38.0%, LLM / NLP Engineer 36.6%, Computer Vision Engineer 32.7%, AI Engineer 24.3%.

Machine Learning is more concentrated in Data Scientist postings (70.2%) than across all core AI postings (25.5%): at least twice the overall share.

How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.

  1. 106 of 151 postings · at least twice overall
  2. 122 of 321 postings
  3. AI Researcher36.7%
    22 of 60 postings · Sample below the page threshold; not read
  4. 64 of 175 postings
  5. 37 of 113 postings
  6. 423 of 1,741 postings
  7. MLOps / Platform Engineer23.7%
    9 of 38 postings · Sample below the page threshold; not read
  8. 35 of 305 postings
  9. 17 of 225 postings
  10. 9 of 123 postings

Skills that appear with it

Each share divides by the postings that mention Machine Learning: how many of them also mention each skill, grouped into three lenses.

Foundations and problem-solving

Categories: Languages, Machine learning, Data engineering, Databases, Methods and process

  1. Python83.0%
    Languages · 745 postings
  2. Machine learning · 505 postings
  3. Methods and process · 282 postings
  4. C++31.1%
    Languages · 279 postings
  5. Data engineering · 265 postings
  6. Machine learning · 236 postings

Production and delivery

Categories: DevOps, Cloud, Tools

  1. Git28.6%
    Tools · 257 postings

Framework, LLM and domain signals

Categories: Frameworks, LLM applications, Domain knowledge, Office software

  1. LLM44.0%
    LLM applications · 395 postings
  2. PyTorch41.1%
    Frameworks · 369 postings
  3. Frameworks · 328 postings
  4. LLM applications · 277 postings
  5. RAG24.1%
    LLM applications · 216 postings

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    271
    30.2%
  2. Electronics & Hardware
    174
    19.4%
  3. Semiconductor
    122
    13.6%
  4. Finance & Insurance
    84
    9.4%
  5. Professional Services
    62
    6.9%
  6. Healthcare & Biotech
    53
    5.9%
  7. Manufacturing
    47
    5.2%
  8. Wholesale, Retail & E-commerce
    23
    2.6%
  9. Telecom, Media & Digital Content
    22
    2.5%
  10. Construction & Real Estate
    15
    1.7%
  11. Consulting & Marketing Services
    14
    1.6%
  12. Hospitality & Consumer Services
    5
    0.6%
Place
  1. Taipei
    425
    47.4%
  2. New Taipei
    110
    12.3%
  3. Hsinchu City
    81
    9.0%
  4. Hsinchu County
    80
    8.9%
  5. Taichung
    72
    8.0%
  6. Taoyuan
    44
    4.9%
  7. Kaohsiung
    35
    3.9%
  8. Tainan
    18
    2.0%
  9. Miaoli
    9
    1.0%
  10. Yunlin
    3
    0.3%
  11. Changhua
    3
    0.3%
  12. Chiayi County
    3
    0.3%

Where this number is read from

Of the 897 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.

  1. Employer's skill tags
    319
  2. Job title
    109
  3. Job description
    735
The data on this page
Data as of
September 11, 2026
Core AI postings this edition
3,523
Method version
2026.09.1

This page is not indexed yet: change needs a second edition.