Machine Learning Developer Hiring Trends in Prague, Czechia

This report was last updated on Aug 17, 2025

Bence Gedai

Founder

I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.

Key learnings from this report

The Artificial Intelligence Machine Learning Engineers job market trends in Czechia Prague indicate a dynamic landscape with a total of 1,200 job openings and a talent pool of 3,000, resulting in a moderate hiring challenge for recruitment efforts.
Prague remains the premier city for Artificial Intelligence Machine Learning Engineer jobs, accounting for 65% of all openings in Czechia, followed by Brno with 23%, underscoring the importance of targeted hiring strategies in these key locations.
In the past three months, hiring activity has shown fluctuations in job openings, with up to 5 new postings in week 26 but contrasting with a peak of 12 positions closed in week 11, highlighting volatility in the market.
The median time to hire for Artificial Intelligence Engineers in Czechia is 35 days, necessitating the optimization of recruitment processes to attract top talent efficiently, especially given the competitive environment.
Key companies driving demand in the Czechia job market include Canonical, Axelera AI, and Rohlik Group, reflecting the diverse industries looking for talent in Artificial Intelligence Machine Learning roles.

Number of roles opened and closed for Machine Learning Engineers in Prague in the last 3 months

In the last 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Czechia Prague has exhibited fluctuations, with a peak of 5 new job postings recorded in week 26. However, this increase in job openings contrasts sharply with the number of positions closed, which peaked at 12 jobs in week 11, leading to an overall reduction in availability for these roles. Compared to other regions, the hiring landscape for Artificial Intelligence Machine Learning roles in Czechia Prague appears volatile, necessitating strategic recruitment approaches to attract high-demand candidates amid a competitive European technology market.

Who else is hiring for ai Engineers in Czechia:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	12
Axelera AI	Netherlands	Semiconductors	2021	8
Rohlik Group	Czech Republic	Food & Beverages	2014	6
Fosfa a.s.	Czechia	Mechanical Or Industrial Engineering	1884	4
ALGOTEQUE Innovation Hub	Poland	Information Technology & Services	2011	4
Barclays	United Kingdom	Financial Services	null	3
Tricentis	United States	Information Technology & Services	2007	3
Česká spořitelna	Czechia	Banking	1825	2
IDC	United States	Market Research	1964	2
SITA	Switzerland	Information Technology & Services	1949	2

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Talent pool vs job openings for Artificial Intelligence Engineers in Czechia

How competitive it is to hire Artificial Intelligence Engineers in Czechia

The Artificial Intelligence Machine Learning Engineers job market trends in Czechia, particularly in Prague, reflect a competitive landscape for hiring managers. With a job openings count of 1,200 and a talent pool of 3,000, the ratio of jobs to available talent stands at 2.5, indicating a moderate challenge for recruitment. In comparison, countries like Poland, with 2,000 openings and a talent pool of 5,000 (2.5 ratio), and Hungary, which has 800 openings against a talent pool of 2,000 (2.5 ratio), showcase similar dynamics. Meanwhile, Germany exhibits a more advantageous scenario, with 10,000 job postings and 30,000 candidates, yielding a ratio of 3.0, suggesting hiring is relatively easier there. Hence, while the demand for Artificial Intelligence Machine Learning Engineer hiring trends across Europe's technology landscape is robust, hiring in Czechia requires targeted recruitment strategies for CTOs and hiring managers to effectively attract top talent.

Seniority distribution of Machine Learning Engineer job openings in Prague

Seniority Distribution of Machine Learning Engineering Jobs in Prague

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Czechia Prague, the seniority distribution reveals key insights for hiring managers. Currently, 47% of positions are at the Mid-Senior level, followed by 25% at the Entry level, while Associate roles constitute 7%. Understanding these trends in hiring Senior Artificial Intelligence Machine Learning Developers is crucial for formulating effective recruitment strategies.

Preferred employment type for Engineering roles in Czechia

The employment type distribution for engineering roles in Czechia reveals that 95% of positions are full-time, underscoring the market's preference for stability and long-term engagement. Additionally, contract roles constitute approximately 5% of job opportunities, while part-time positions make up about 2%. This data not only highlights the strong demand for full-time Artificial Intelligence Machine Learning Engineers in Czechia Prague but also indicates a strategic recruitment focus for hiring managers in navigating the competitive landscape.

Time to Hire Distribution for Artificial Intelligence in Czechia

How long does it take to hire Artificial Intelligence Engineers

In the Czechia Prague job market, the distribution of time to hire for Artificial Intelligence Machine Learning Engineers reveals significant insights for hiring managers. The data indicates that a majority of candidates, approximately 63, experience a hiring timeframe of 25 days, while 99 candidates are hired within 30 days. Notably, the trend shows a gradual increase in hiring time, with 54 candidates taking 15 days and 41 candidates at 10 days. As such, companies looking to attract top talent need to optimize their recruitment strategies, as the competition intensifies with a notable number of candidates hiring after the 30-day mark. Understanding these trends can aid CTOs and Engineering Managers in refining their approaches to meet the demand for Artificial Intelligence Machine Learning positions in Czechia.

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Most popular cities in Czechia to hire Artificial Intelligence Engineers

Top 5 cities in Czechia to hire Artificial Intelligence Engineers

In the Czechia job market, Prague stands out as the leading hub for Artificial Intelligence Machine Learning Engineers, accounting for 65% of the total job openings. Following Prague, Brno captures 23% of the market, while the city-wide distribution across Czechia shows a cumulative 8% outside of these major cities. As the capital, Prague remains the focal point for recruitment strategies aimed at attracting top talent in this field, as illustrated in the accompanying chart.

Most sought after technologies in Prague for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Czechia, particularly in Prague, several technologies are gaining prominence. The most utilized technology is Python, which boasts a notable frequency of 6,500, indicating its crucial role in AI and ML applications. Following closely, SQL is essential for data management, with a frequency of 2,543, while Machine Learning itself shows a substantial presence at 3,788. Other relevant technologies include Data Science (1,439), Java (1,069), and AWS (803). The accompanying chart provides a visual representation of these trends, underscoring the technologies that are shaping recruitment strategies for CTOs in Czechia Prague's tech sector.

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