Machine Learning Engineer: skills and learning path
Machine learning engineers turn models into products: training, evaluating and deploying them. Python, machine learning and increasingly LLMs and generative AI are the core.
Check your resume against Machine Learning Engineer job posts
See which of these skills your resume shows and get a learning path for the rest. No sign-up needed, and nothing you paste or upload is saved.
This browser has the resume you added on jobpe:
Showing your skill gap for Machine Learning Engineer. Nothing you pasted or uploaded was saved.
What Machine Learning Engineer job posts ask for
The share of job posts that ask for each skill, rounded. Core skills are asked for in at least 15% of posts.
-
Python Core70%
-
Machine learning Core65%
-
Deep learning Core45%
- 30%
-
SQL Core20%
-
AWS Core20%
-
Microsoft Azure Core15%
-
Google Cloud Also useful15%
-
Data structures and algorithms Also useful10%
-
Data analysis Also useful10%
-
Agile and Scrum Also useful10%
-
Git Also useful10%
-
CI/CD Also useful10%
Learning path
The core skills in order, with a free course and practice on jobpe for each. Check your resume above to see only the skills you're missing.
-
1
Python
Core skill · in about 70% of job posts -
2
-
3
Deep learning
Core skill · in about 45% of job posts -
4
-
5
SQL
Core skill · in about 20% of job posts -
6
AWS
Core skill · in about 20% of job posts -
7
Microsoft Azure
Core skill · in about 15% of job posts
Finish with a mock interview
Practise answering Machine Learning Engineer questions out loud, with AI feedback.