Resume keywords for Machine Learning Engineer jobs
The skills machine learning engineer job postings actually ask for, as the share of the 484 newest postings we track that mention each one (out of 3,118 live machine learning engineer jobs). More than half mention Python and LLMs.
Live data · computed 10 October 2026 · refreshed daily
Top skills and tools
- 1PythonLanguagesLanguages78%
- 2LLMsDataData66%
- 3AWSCloud & DevOpsCloud & DevOps38%
- 4PyTorchFrameworks & APIsFrameworks & APIs32%
- 5RAGMachine learningMachine learning31%
- 6AzureCloud & DevOpsCloud & DevOps29%
- 7CI/CDCloud & DevOpsCloud & DevOps27%
- 8Google CloudCloud & DevOpsCloud & DevOps25%
- 9PrototypingDesignDesign24%
- 10ETLDataData23%
- 11ObservabilityCloud & DevOpsCloud & DevOps22%
- 12KubernetesCloud & DevOpsCloud & DevOps20%
- 13MLOpsMachine learningMachine learning20%
- 14AlgorithmsComputer ScienceComputer Science19%
- 15SQLLanguagesLanguages18%
- 16Deep learningDataData17%
- 17DockerCloud & DevOpsCloud & DevOps17%
- 18TensorFlowFrameworks & APIsFrameworks & APIs16%
- 19JavaLanguagesLanguages15%
- 20LangChainMachine learningMachine learning14%
- 21Prompt engineeringMachine learningMachine learning14%
- 22TypeScriptLanguagesLanguages14%
- 23Code reviewEngineering PracticesEngineering Practices14%
- 24NLPDataData14%
- 25Fine-tuningMachine learningMachine learning14%
- 26C++LanguagesLanguages12%
- 27StatisticsDataData12%
- 28Distributed systemsDataData11%
- 29AgileEngineering PracticesEngineering Practices10%
- 30DevOpsCloud & DevOpsCloud & DevOps10%
How to use this list
ML engineering ads now split between classic ML and LLM work. Be specific about which you've shipped to production, and how you served and monitored it.
Only add skills you've really used, in the group your CV already has for them, and show the important ones in a bullet too. The percentages tell you what's common across the market; the job you're applying to is what matters, so check your CV against it.
How we count: the newest live postings whose title matches the role, re-posts removed, description only. Each skill counts once per posting, with common synonyms (k8s = Kubernetes); benefits and legal text are ignored; soft skills only count in the requirements. The role's own name is left out.
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Frequently asked questions
What skills should a machine learning engineer put on a resume?
The ones most postings ask for and that you really have. Across 484 recent machine learning engineer postings we track, the most-mentioned are Python (78%), LLMs (66%), AWS (38%), PyTorch (32%) and RAG (31%). Put each one you've used in your Skills section and in a bullet that shows how you used it.
Which machine learning engineer skills are must-haves?
Python and LLMs appear in more than half of the postings, which makes them close to a baseline for the role. Everything else varies by company, so check each ad.
How is this list calculated?
We take the newest live machine learning engineer postings from employers' applicant tracking systems, remove re-posts, and count the share whose description mentions each skill (synonyms count, each posting counts once). Benefits and legal boilerplate are ignored. It refreshes daily, and no AI is involved.
Should I add every keyword on this page to my CV?
No. Add only the skills you can discuss in an interview, using the same name the job ad uses. Stuffing in skills you don't have is easy to spot and backfires in technical interviews.
This page is built from public job postings only. It doesn't need your CV and collects nothing about you. The CV check is separate: we delete your CV from it within 24 hours. See our privacy policy.