Machine Learning Engineer portfolio templates and a live example
A free personal website for ML engineers: your services, fees, results and reviews in one place. Below is a real example written for the job, what to include, and the designs that suit it. Edit without code and publish in minutes.
Start with NotebookExample: a machine learning engineer portfolio
Notebook design · sample content for ML engineers · scroll inside it
The essentials
What a machine learning engineer portfolio should include
01
What you do, in one line
Example · AI features that work in production, not just in notebooks.
02
Services and prices
Example · AI feature build (Quote) · Evaluation set-up (S$4,500) · Cost review (S$3,000)
03
Results in numbers
Example · 30M requests a day · −58% inference cost · +14% search conversion
04
Proof from people you’ve worked with
Example · “Wei shipped the search improvement our users had wanted for two years.”
05
Skills people search for
Example · PyTorch · LLMs · Retrieval & ranking · Evaluation · MLOps · Python
06
One clear way to contact you
Example · Email, WhatsApp or a booking link, on every screen
6 free machine learning engineer portfolio designs
Each one opens with sample content written for ML engineers. The pictures show the design.
Notebook
PreviewA computational notebook: In[1] / Out[1] cells, charts as outputs and your career run top to bottom.
Terminal
PreviewYour career as a real terminal window on a sunlit desktop: tabs, a file explorer, a neofetch card, projects and a git log of jobs.
Blueprint
PreviewA drafting-table portfolio: cyanotype grid, dimension lines, and projects drawn up like system diagrams.
Contributions
PreviewA contribution graph made from your actual years of work, with repositories pinned like a profile done properly.
Signal
PreviewNumbers first: oversized metrics, sparklines through your career and results stated plainly.
Datasheet
PreviewA component datasheet: part number, features, figures, absolute maximum ratings and your career as a chip pinout.
Questions ML engineers ask
What should a machine learning engineer portfolio include?
Lead with what you do and who it’s for, then your services (for example ai feature build, evaluation set-up and cost review), your credentials (MSc Computer Science), key skills such as PyTorch, LLMs, Retrieval & ranking and Evaluation, reviews from people you’ve worked with, and one clear way to contact you, like WhatsApp or a booking link.
Do ML engineers need a personal website?
It helps. A website is the one link you can share everywhere, it shows up when people search your name, and it says more than a CV or a social profile: what you offer, what it costs and why people trust you. Kitefolio makes one in minutes, written for ML engineers.
Is a machine learning engineer portfolio website free?
Yes. Every design is free, and your website stays online at a free Kitefolio address. Pro puts it on your own domain for AED 35 a month, or AED 299 a year with the first year’s domain free (up to AED 60).
Can I edit it without coding?
Yes. Click any text or photo to change it, pick colours and fonts, and publish. The sample content for ML engineers gets you most of the way; you replace it with your own.