SkillTrendLab
Skill · Machine learning · Foundations and problem-solving

MLOps

Running model training, deployment and monitoring as an engineering pipeline.

9.9%
of core AI postings mention it
348
postings
234
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 MLOps in this edition.

In 1 of the 8 role families with a page of their own, at least one posting in five mentions MLOps: Data Scientist 21.2%.

MLOps is more concentrated in Data Scientist postings (21.2%) than across all core AI postings (9.9%): 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. MLOps / Platform Engineer39.5%
    15 of 38 postings · Sample below the page threshold; not read
  2. 32 of 151 postings · at least twice overall
  3. AI Researcher15.0%
    9 of 60 postings · Sample below the page threshold; not read
  4. 26 of 175 postings
  5. 203 of 1,741 postings
  6. 13 of 113 postings
  7. 18 of 321 postings
  8. 3 of 123 postings
  9. 7 of 305 postings
  10. 3 of 225 postings

Skills that appear with it

Each share divides by the postings that mention MLOps: 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. Python84.5%
    Languages · 294 postings
  2. Machine learning · 169 postings
  3. Methods and process · 166 postings
  4. Machine learning · 154 postings

Production and delivery

Categories: DevOps, Cloud, Tools

  1. Docker46.0%
    DevOps · 160 postings
  2. Git42.8%
    Tools · 149 postings

Framework, LLM and domain signals

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

  1. LLM62.1%
    LLM applications · 216 postings
  2. PyTorch49.7%
    Frameworks · 173 postings
  3. RAG41.4%
    LLM applications · 144 postings
  4. Frameworks · 143 postings
  5. LLM applications · 130 postings
  6. LLM applications · 120 postings

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    124
    35.6%
  2. Electronics & Hardware
    64
    18.4%
  3. Finance & Insurance
    44
    12.6%
  4. Semiconductor
    40
    11.5%
  5. Professional Services
    18
    5.2%
  6. Wholesale, Retail & E-commerce
    14
    4.0%
  7. Healthcare & Biotech
    13
    3.7%
  8. Telecom, Media & Digital Content
    10
    2.9%
  9. Manufacturing
    10
    2.9%
  10. Consulting & Marketing Services
    8
    2.3%
  11. Government & Nonprofit
    2
    0.6%
  12. Construction & Real Estate
    1
    0.3%
Place
  1. Taipei
    191
    54.9%
  2. New Taipei
    43
    12.4%
  3. Hsinchu County
    26
    7.5%
  4. Taichung
    23
    6.6%
  5. Hsinchu City
    19
    5.5%
  6. Taoyuan
    17
    4.9%
  7. Kaohsiung
    11
    3.2%
  8. Miaoli
    6
    1.7%
  9. Tainan
    5
    1.4%
  10. Yunlin
    3
    0.9%
  11. Pingtung
    1
    0.3%
  12. Changhua
    1
    0.3%

Where this number is read from

Of the 348 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
    46
  2. Job title
    12
  3. Job description
    328
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.