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What Machine Learning Engineer job postings ask for

Python appears in 58% of Machine Learning Engineer job postings, followed by PyTorch (34%) and TensorFlow (20%) — counted across 296 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 296 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. Python58% · 172 of 296
  2. PyTorch34% · 101 of 296
  3. TensorFlow20% · 59 of 296
  4. LLM18% · 53 of 296
  5. Java16% · 47 of 296
  6. C++16% · 47 of 296
  7. LLMs14% · 41 of 296
  8. Machine learning14% · 41 of 296
  9. Kubernetes13% · 38 of 296
  10. Deep learning12% · 36 of 296
  11. AWS12% · 36 of 296
  12. Spark11% · 33 of 296
  13. Reinforcement learning11% · 33 of 296
  14. SQL11% · 33 of 296
  15. Rag10% · 30 of 296
  16. Scala10% · 30 of 296
  17. Go10% · 30 of 296
  18. GCP9% · 27 of 296
  19. Ray8% · 24 of 296
  20. Generative ai8% · 24 of 296
  21. Langchain7% · 21 of 296
  22. Airflow7% · 21 of 296
  23. A/B testing7% · 21 of 296
  24. Kafka6% · 18 of 296
  25. Rust6% · 18 of 296

Questions about this data

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

Across 296 Machine Learning Engineer postings from the last 90 days, the most frequently named are Python (58%), PyTorch (34%), TensorFlow (20%). Each percentage is the share of those postings naming the term at least once.

How common is Deep learning in Machine Learning Engineer postings?

Deep learning appears in 12% of the 296 Machine Learning Engineer postings counted — roughly 36 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 296 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