SkillTrendLab
Skill · Frameworks · Framework, LLM and domain signals

TensorFlow

Google's deep-learning framework.

14.8%
of core AI postings mention it
521
postings
334
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 TensorFlow in this edition.

In 3 of the 8 role families with a page of their own, at least one posting in five mentions TensorFlow: Computer Vision Engineer 33.6%, Data Scientist 29.1%, Algorithm Engineer 21.5%.

TensorFlow is more concentrated in Computer Vision Engineer postings (33.6%) than across all core AI postings (14.8%): at least twice the overall share.

TensorFlow is in Frameworks: a framework, LLM or domain signal. Read it together with the foundation and production skills that appear with it below.

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. 38 of 113 postings · at least twice overall
  2. 44 of 151 postings
  3. AI Researcher23.3%
    14 of 60 postings · Sample below the page threshold; not read
  4. 69 of 321 postings
  5. MLOps / Platform Engineer21.1%
    8 of 38 postings · Sample below the page threshold; not read
  6. 287 of 1,741 postings
  7. 27 of 175 postings
  8. 11 of 123 postings
  9. 5 of 225 postings
  10. 5 of 305 postings

Skills that appear with it

Each share divides by the postings that mention TensorFlow: 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. Python88.5%
    Languages · 461 postings
  2. Machine learning · 359 postings
  3. Machine learning · 328 postings
  4. C++40.9%
    Languages · 213 postings
  5. Machine learning · 190 postings
  6. Methods and process · 183 postings
  7. MLOps27.5%
    Machine learning · 143 postings

Production and delivery

Categories: DevOps, Cloud, Tools

  1. Git31.7%
    Tools · 165 postings
  2. Linux27.1%
    DevOps · 141 postings
  3. Docker25.1%
    DevOps · 131 postings

Framework, LLM and domain signals

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

  1. PyTorch91.9%
    Frameworks · 479 postings
  2. LLM43.8%
    LLM applications · 228 postings

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    155
    29.8%
  2. Electronics & Hardware
    115
    22.1%
  3. Semiconductor
    80
    15.4%
  4. Professional Services
    38
    7.3%
  5. Healthcare & Biotech
    37
    7.1%
  6. Finance & Insurance
    32
    6.1%
  7. Manufacturing
    26
    5.0%
  8. Telecom, Media & Digital Content
    11
    2.1%
  9. Wholesale, Retail & E-commerce
    11
    2.1%
  10. Construction & Real Estate
    6
    1.1%
  11. Consulting & Marketing Services
    5
    1.0%
  12. Government & Nonprofit
    2
    0.4%
Place
  1. Taipei
    225
    43.2%
  2. New Taipei
    74
    14.2%
  3. Hsinchu City
    60
    11.5%
  4. Hsinchu County
    50
    9.6%
  5. Taichung
    37
    7.1%
  6. Taoyuan
    25
    4.8%
  7. Kaohsiung
    19
    3.6%
  8. Miaoli
    11
    2.1%
  9. Tainan
    10
    1.9%
  10. Nantou
    3
    0.6%
  11. Pingtung
    1
    0.2%
  12. Hualien
    1
    0.2%

Where this number is read from

Of the 521 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
    191
  2. Job title
    0
  3. Job description
    446
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.