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What Machine Learning Engineer job postings ask for

Python appears in 57% of Machine Learning Engineer job postings, followed by PyTorch (37%) and TensorFlow (20%) — counted across 373 live postings from company career sites.

Every term below was counted in real postings published by employers. We tally what each posting names at least once, so one keyword-stuffed listing can’t inflate a number.

Counted across 373 Machine Learning Engineer postings gathered from company career sites and seen in the last 90 days. Percentages are the share of those postings naming each term. Last verified against live postings on ; re-checked every six hours.

Skills and tools, most-asked first

  1. Python57% · 213 of 373
  2. PyTorch37% · 138 of 373
  3. TensorFlow20% · 75 of 373
  4. LLM17% · 63 of 373
  5. AWS16% · 60 of 373
  6. Java16% · 60 of 373
  7. C++14% · 52 of 373
  8. Machine learning14% · 52 of 373
  9. GCP13% · 48 of 373
  10. Rag13% · 48 of 373
  11. SQL13% · 48 of 373
  12. LLMs13% · 48 of 373
  13. Kubernetes13% · 48 of 373
  14. Spark12% · 45 of 373
  15. Deep learning11% · 41 of 373
  16. Langchain11% · 41 of 373
  17. Reinforcement learning10% · 37 of 373
  18. Scala10% · 37 of 373
  19. GenAI10% · 37 of 373
  20. Scikit-learn10% · 37 of 373
  21. pandas9% · 34 of 373
  22. Azure9% · 34 of 373
  23. Go9% · 34 of 373
  24. Generative ai9% · 34 of 373
  25. Apache spark9% · 34 of 373

Questions about this data

What skills do most Machine Learning Engineer job postings ask for?

Across 373 Machine Learning Engineer postings from the last 90 days, the most frequently named are Python (57%), PyTorch (37%), TensorFlow (20%). Each percentage is the share of those postings naming the term at least once.

How common is Rag in Machine Learning Engineer postings?

Rag appears in 13% of the 373 Machine Learning Engineer postings counted — roughly 48 of them. That places it mid-pack rather than near-universal, which is worth knowing before you rewrite a résumé around it.

Where does this Machine Learning Engineer data come from?

Public job postings published by employers on their own career sites, collected through the official Greenhouse, Lever and Ashby job-board APIs. It is a count of 373 real postings seen in the last 90 days — not a survey, an estimate, or a model's guess.

Should I add these skills to my résumé?

Only the ones you genuinely have. Frequency tells you which terms to surface and phrase in the employer's own words if they are already true of you. Adding a skill you can't defend is the fastest way to fail an interview, so FreshStartr reports gaps rather than writing them in.

Other roles we track

Which of these does your résumé actually evidence?

Paste a Machine Learning Engineer posting and you get a line-by-line match report: what you already prove, and what you don’t. Gaps are reported, never written in for you.

Check my résumé