Machine Learning Engineer Resume Keywords
These are the skills that recent machine learning engineer job postings list most often. We counted them across 337 postings from 224 employers, posted between September 29, 2026 and November 12, 2026.
Top 20 skills in machine learning engineer job postings
- 163% of postings50% as required
Python
- 238% of postings32% as required
PyTorch
- 328% of postings27% as required
Machine learning
- 426% of postings21% as required
TensorFlow
- 515% of postings11% as required
scikit-learn
- 613% of postings11% as required
LLMs
- 713% of postings10% as required
AWS
- 812% of postings10% as required
Kubernetes
- 911% of postings9% as required
Spark
- 1011% of postings9% as required
C++
- 1111% of postings9% as required
Docker
- 1210% of postings10% as required
Deep learning
- 139% of postings8% as required
CI/CD
- 149% of postings8% as required
Java
- 159% of postings7% as required
NLP
- 167% of postings7% as required
SQL
- 177% of postings6% as required
pandas
- 187% of postings6% as required
Data pipelines
- 196% of postings5% as required
NumPy
- 206% of postings6% as required
Computer vision
Source: public postings from employer career sites collected by LetMeApply. Skills are read from each posting with AI and merged across spellings (for example, AWS and Amazon Web Services). Each employer counts at most 3 times, so one company hiring in bulk does not skew the list.
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How to use this list
- Treat it as a map of the market, not a checklist. Tailor to the posting you are applying to.
- For each skill you really have, make sure it is written on your resume, in the posting's wording, where you used it.
- Leave out skills you do not have. Listing them can cost you in the interview.