Python Machine Learning Report 2026 Uncovers Top Locations & Salary Trends

Aug 20, 2026

The report maps the top 7 global hubs with the highest concentrations of Python ML talent and highlights salaries for the three most in-demand roles.

The latest report by Qubit Labs examines the best talent markets for hiring Python ML talent and uncovers relevant market rates. This data shows that the average salary range for Python specialists is $48,000-$66,000 annually, whereas salary expectations for Python ML developers are $60,000-$64,800. Senior-level talent commands up to $102,000 per year.

This report maps this specialized talent and provides accurate salary benchmarks by seniority level, helping you choose the best hiring destinations to meet your project and budget requirements. This data-backed information helps CEOs, CTOs, HR specialists, and founders decide where to hire and how much budget to allocate.

“Insights uncovered in this report will provide the market intelligence tech companies and executives require to structure the right team for building AI initiatives and build a budget strategy at scale.” — Iva Kozlovska, CEO of Qubit Labs.

Key Insights

Eastern European countries have the most extensive Python ML expertise and boast mature tech ecosystems and talent pools.
The salary range for Python developers, based on seniority, is $30,000-$102,000, with Moldova offering the most competitive rates.
In most Eastern European countries, Python ML engineers earn $33,600-$102,000. Notably, Bulgaria has the highest rates for these professionals, outpacing even prominent regional leaders, such as Poland, Romania, and Portugal.
Python Django developers earn the least in Moldova, approximately $30,000 annually. Specialists with 5+ years of experience earn $84,000 to $102,000, with Poland and Romania ranking among the highest-paying markets.

The full Python Machine Learning talent landscape and salary report is available here: LINK

This comprehensive report is your strategic playbook for proactive talent sourcing, revising your compensation strategy, and developing new business expansion plans.