Skill · Machine learning
MLOps
Running model training, deployment and monitoring as an engineering pipeline.
- 9.9%
- of core AI postings mention it
- 348
- postings
- 234
- companies
- —
- 30-day change · from 2nd edition
Which roles ask for it
Share of each role's postings that mention this skill.
- MLOps / Platform Engineer15 postings39.5%
- 32 postings21.2%
- AI Researcher9 postings15.0%
- 26 postings14.9%
- 203 postings11.7%
- 13 postings11.5%
- 18 postings5.6%
- 3 postings2.4%
- 7 postings2.3%
- 3 postings1.3%
Skills that appear with it
Share of the postings mentioning MLOps that also mention each skill.
- Languages84.5%
- LLM applications62.1%
- Frameworks49.7%
- Machine learning48.6%
- Methods and process47.7%
- DevOps46.0%
- Machine learning44.3%
- Tools42.8%
- LLM applications41.4%
- Frameworks41.1%
- LLM applications37.4%
- LLM applications34.5%
Industries and places
Share of this skill's postings.
- Software & Internet12435.6%
- Electronics & Hardware6418.4%
- Finance & Insurance4412.6%
- Semiconductor4011.5%
- Professional Services185.2%
- Wholesale, Retail & E-commerce144.0%
- Healthcare & Biotech133.7%
- Telecom, Media & Digital Content102.9%
- Manufacturing102.9%
- Consulting & Marketing Services82.3%
- Government & Nonprofit20.6%
- Construction & Real Estate10.3%
- Taipei19154.9%
- New Taipei4312.4%
- Hsinchu County267.5%
- Taichung236.6%
- Hsinchu City195.5%
- Taoyuan174.9%
- Kaohsiung113.2%
- Miaoli61.7%
- Tainan51.4%
- Yunlin30.9%
- Pingtung10.3%
- Changhua10.3%
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.
- Employer's skill tags46
- Job title12
- Job description328