Machine Learning Engineer CV Example
Employers hiring a Machine Learning Engineer usually screen for these skills first: Python, Machine learning and Deep learning. This example shows how to present them clearly, with achievements you can adapt and a layout that applicant tracking systems read correctly.
Professional summary example
Machine learning engineer with [X] years taking models from prototype to production, including LLM features, with a focus on evaluation and cost.
Skills employers search for
- Python
- Machine learning
- Deep learning
- Model deployment
- MLOps
- LLM applications
- Data pipelines
- Model monitoring
Tools and systems
- PyTorch
- TensorFlow
- Hugging Face
- MLflow
- Kubernetes
- AWS SageMaker
Personal strengths
- Problem solving
- Clear written communication
- Collaboration
- Ownership
Example achievements
Replace each [X] with your own numbers.
- Deployed [X] models serving [X] predictions a day
- Cut inference latency by [X]% with model optimisation
- Built an evaluation pipeline for an LLM feature used by [X] users
- Automated retraining with MLflow
Turn duties into results
Weak
Worked on AI models
Strong
Put [X] models into production and cut inference cost by [X]%
Action verbs to start your bullet points
- Deployed
- Built
- Optimised
- Reduced
- Scaled
- Evaluated
- Automated
- Fine-tuned
Qualifications and certifications to list
- AWS Certified Machine Learning
- Google Professional ML Engineer
Typical education: Degree or MSc in Computer Science or a quantitative field
Common mistakes on a Machine Learning Engineer CV
- Research-only projects
- No production evidence
- Buzzwords instead of results
- No evaluation metrics
Build your Machine Learning Engineer CV
The builder opens with these skills and example achievements ready to edit. One column, ATS-friendly, PDF or Word.
Open the builderCover letter opening line
I am applying for the Machine Learning Engineer role because it matches the work I do best, and I can show results in the areas this job asks for most.
Questions
What skills should a Machine Learning Engineer put on a CV?
Lead with the skills named in the job ad. For most Machine Learning Engineer roles these include: Python, Machine learning, Deep learning and Model deployment, each backed by an example in your work history.
Which qualifications help a Machine Learning Engineer CV?
Employers often look for AWS Certified Machine Learning or Google Professional ML Engineer. List the ones you hold in a Certifications section with the year you achieved them.
How do I show results as a Machine Learning Engineer?
Use the measures employers in this field recognise, such as LLMs, inference, model serving, and say what changed because of your work. Replace every [X] in the examples with your real figures.