How to List Machine Learning on a Resume
Listing "Machine Learning" on your resume seems straightforward — but how and where you place it affects whether ATS systems pick it up and whether recruiters take it seriously. Here's how to do it right.
Quick answer
List Machine Learning in your Technical Skills section for ATS visibility, then demonstrate it in your experience bullets with specific outcomes. Don't just list the name — show what you built with it and what the result was.
Where to put Machine Learning on your resume
Machine Learning should appear in two places:
- Skills section — for ATS keyword matching. Group it under "Data & Analytics".
- Experience bullets — to prove you've actually used it. ATS catches the keyword; the recruiter sees the proof.
How to write it (with examples)
The weak version tells the ATS you know Machine Learning. The strong version tells the ATS and the recruiter. Always pair the skill name with a measurable outcome.
Common mistakes when listing Machine Learning
- Listing it without context — a bare skills list with no evidence in your experience section looks unverifiable.
- Rating yourself — "Machine Learning: 4/5 stars" or "Machine Learning: Advanced" means nothing. Let your experience demonstrate proficiency instead.
- Using the wrong name — ATS systems are literal. Make sure you use the standard name the job description uses.
- Burying it — if the job description mentions Machine Learning prominently, it should appear in your first few experience bullets, not just the skills section.
Skills often listed alongside Machine Learning
If you know Machine Learning, recruiters in AI/ML, Data Science, Research roles will also look for:
Check if your resume lists Machine Learning correctly
Upload your resume and a job description — we'll show you exactly which keywords are missing.
Scan my resume free →