FreshStartr

What Machine Learning Engineer job postings ask for

Python appears in 58% of Machine Learning Engineer job postings — the term employers name most often.

Counted across 425 Machine Learning Engineer postings gathered from company career sites and seen in the last 90 days. Each percentage is the share of those postings naming the term at least once. Last verified ; re-checked every six hours.

How these numbers are counted

Skills and tools, most-asked first

  1. Python58% 245 of 425
  2. PyTorch36% 155 of 425
  3. TensorFlow21% 89 of 425
  4. C++19% 81 of 425
  5. Machine learning17% 71 of 425
  6. LLM15% 63 of 425
  7. LLMs14% 58 of 425
  8. Spark13% 57 of 425
  9. Rag13% 57 of 425
  10. Kubernetes13% 55 of 425
  11. AWS13% 54 of 425
  12. Java13% 54 of 425
  13. SQL12% 50 of 425
  14. GCP10% 44 of 425
  15. GenAI10% 44 of 425
  16. Reinforcement learning10% 42 of 425
  17. Deep learning10% 41 of 425
  18. Generative ai9% 40 of 425
  19. pandas9% 40 of 425
  20. Go9% 39 of 425
  21. Azure9% 39 of 425
  22. Scikit-learn9% 39 of 425
  23. Langchain9% 38 of 425
  24. Ray8% 33 of 425
  25. Fine-tuning8% 33 of 425

Questions about this data

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

Across 425 Machine Learning Engineer postings from the last 90 days, the most frequently named are Python (58%), PyTorch (36%), TensorFlow (21%). Each percentage is the share of those postings naming the term at least once.

How common is Kubernetes in Machine Learning Engineer postings?

Kubernetes appears in 13% of the 425 Machine Learning Engineer postings counted — 55 of them exactly. 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 425 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.

Tailor your résumé to a Machine Learning Engineer posting