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Machine Learning Engineer resume skills and keywords

In 840 Machine Learning Engineer job postings from 460 employers analysed on October 23, 2026, the most requested skills are Machine learning (84 %), Python (77 %), PyTorch (56 %), LLMs (44 %) and Communication (38 %). Of the top 40 skills, 34 are hard skills, tools or certifications and 6 are soft skills.

Download the full list as a CSV or check your own resume against a posting with the free keyword scanner.

Top 40 skills in Machine Learning Engineer job postings

Skills requested in 840 Machine Learning Engineer job postings, by share of postings
SkillShare of postingsType
Machine learning84 %Hard skill
Python77 %Tool
PyTorch56 %Tool
LLMs44 %Tool
Communication38 %Soft skill
Deep learning33 %Hard skill
TensorFlow30 %Tool
Mentoring28 %Soft skill
AWS28 %Tool
Collaboration25 %Soft skill
Experimentation24 %Hard skill
Algorithms24 %Hard skill
Machine Learning Models23 %Hard skill
Data pipelines22 %Hard skill
Data Science21 %Hard skill
Machine Learning Operations19 %Hard skill
Leadership19 %Soft skill
Kubernetes19 %Tool
C++18 %Tool
Apache Spark18 %Tool
GCP17 %Tool
Robotics16 %Hard skill
APIs16 %Hard skill
SQL16 %Tool
Computer vision16 %Hard skill
Generative AI15 %Tool
Natural language processing15 %Hard skill
Ranking15 %Hard skill
CI/CD14 %Tool
Azure14 %Tool
RAG13 %Tool
Problem Solving13 %Soft skill
Data Processing13 %Hard skill
Offline13 %Hard skill
Flexibility13 %Soft skill
Docker12 %Tool
Debugging12 %Hard skill
Feature Engineering12 %Hard skill
Artificial Intelligence12 %Hard skill
System design12 %Hard skill

Hard skills vs soft skills vs tools and certifications

Hard skills (19)

Soft skills (6)

Tools and software (15)

Keyword phrases recruiters use

Multi-word phrases that recur across these machine learning engineer postings, with the share of postings that use each one.

production systems 18 %data scientists 17 %open source 17 %model performance 15 %production grade 14 %technical direction 13 %product managers 13 %pytorch/tensorflow 13 %low latency 12 %production ready 11 %model development 11 %non technical 11 %deep expertise 10 %foundation models 10 %trade offs 10 %

How to use this on your resume

Treat the table as a checklist, not a script. Put the skills you genuinely have in your skills section, using the same wording as the posting, and back the top ones with a bullet that shows the result.

Each job posting differs from the average, so compare your resume with the actual ad: paste it into the resume keyword scanner to see which terms you already have and which are missing. The ATS keywords guide explains where to place them so applicant tracking systems read them.

Skip any skill you cannot talk about in an interview; a keyword that falls apart under one question costs more than it gains. For a full layout with these skills in context, see the Machine Learning Engineer resume example. Then prepare for the Machine Learning Engineer interview questions that test them.

Build a machine learning engineer resume with these skills

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Machine Learning Engineer resume skills: FAQ

Which skills matter most for a Machine Learning Engineer resume?

In 840 Machine Learning Engineer job postings analysed on October 23, 2026, the most requested skills were Machine learning (84 %), Python (77 %), PyTorch (56 %), LLMs (44 %) and Communication (38 %). Lead your skills section with the ones you can back up, and show them in your experience bullets too.

Should I list soft skills on a Machine Learning Engineer resume?

Yes, but prove them rather than list them. 6 of the top 40 skills in these postings are soft skills, led by Communication (38 % of postings). Show them through results in your bullets, for example a project you coordinated or a process you explained.

Which tools and certifications do Machine Learning Engineer postings ask for?

The tools and certifications named most often were Python (77 %), PyTorch (56 %), LLMs (44 %), TensorFlow (30 %), AWS (28 %) and Kubernetes (19 %). List the ones you have exactly as the posting writes them.

Where does this data come from?

From 840 public Machine Learning Engineer job postings at 460 employers, collected on October 23, 2026 from Greenhouse (453), Lever (104) and Ashby (283). A skill's share is the number of postings that mention it divided by 840. The data is updated quarterly and can be downloaded as a CSV.

Method and data

Source: 840 public job postings for machine learning engineer roles (titles such as Machine Learning Engineer, Senior Machine Learning Engineer, Staff Machine Learning Engineer and Senior ML Engineer) at 460 employers, collected on October 23, 2026 from employer applicant tracking system job boards: Greenhouse 453, Lever 104 and Ashby 283. Employers in the sample include Waymo, XPENG, Coupang, Striveworks, Pinterest and Airbnb. A skill's share is the number of postings that mention it divided by 840. Updated quarterly. Download the data: machine-learning-engineer-resume-skills.csv (CC BY 4.0). Browse skills for other roles.