Should I list both PyTorch and TensorFlow on my ML resume?

Yes, if you have genuine experience with both. PyTorch dominates research and most modern ML teams; TensorFlow/Keras is more common in enterprise settings. List the one you're strongest in first and note your proficiency level if they differ significantly.

Skills for Machine Learning Resume

Machine learning roles demand a specific combination of maths fundamentals, Python/framework depth, and engineering skills to take models to production. This guide covers the skill clusters, keywords, and bullet examples that help ML resumes get noticed.

Core ML

Supervised learning
Unsupervised learning
Deep learning
NLP
Computer vision
Reinforcement learning
Transformer architectures
LLMs

Frameworks & libraries

PyTorch
TensorFlow
scikit-learn
HuggingFace Transformers
Keras
XGBoost
LangChain

Data & pipeline

SQL
Pandas
NumPy
Apache Spark
Airflow
dbt
Feature engineering

MLOps & deployment

MLflow
Kubeflow
SageMaker
Docker
Kubernetes
CI/CD for ML
Model monitoring
A/B testing

Resume bullet examples

Trained and deployed a BERT-based document classifier achieving 94% accuracy; model now processes 2M+ documents/day in production on SageMaker.
Reduced model retraining pipeline from 6 hours to 45 minutes by migrating to distributed training on AWS, saving $18K/month in compute.
Built a recommendation system for 5M users using collaborative filtering; A/B test showed 12% lift in session engagement.

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Paste a job URL and your background into WadeCV. It maps your real experience against the posting, mirrors the exact skill keywords the ATS screens for, and writes quantified, recruiter-ready bullets — ATS-safe DOCX, free to try with 1 credit included.

ML resumes live at the intersection of research depth and engineering credibility. Show both: models you designed and deployed, with scale (users served, requests/second) and business impact (revenue, engagement, cost). Open-source contributions and Kaggle rankings are worth including. WadeCV can tailor your ML skills to each role's focus — NLP, computer vision, MLOps, or LLM engineering.

Tailor your resume to highlight the right skills

Paste a job URL and WadeCV matches your skills to what the employer wants — then rewrites your bullets to prove each one.

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AI-powered fit analysis
ATS-optimised formatting

Common mistakes to avoid

Only showing Jupyter notebook projects — no production deployments
Listing frameworks without showing what you built or the scale of impact
No mention of model monitoring, drift detection, or retraining pipelines

Frequently asked questions

Should I list both PyTorch and TensorFlow on my ML resume?
Yes, if you have genuine experience with both. PyTorch dominates research and most modern ML teams; TensorFlow/Keras is more common in enterprise settings. List the one you're strongest in first and note your proficiency level if they differ significantly.

Build a resume that highlights these skills

WadeCV helps you tailor your CV to the role and surface the right skills and bullets for each application.