Machine Learning Developer Hiring Trends in 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 job market in Czechia is characterized by a moderate level of competition, fueled by a talent pool of over 3,000 qualified professionals, yet a notably higher number of job openings compared to other regions in Europe, indicating a unique recruitment landscape.
Czechia's market currently exhibits 154 job openings for Artificial Intelligence Machine Learning Engineers with 70% concentrated in Prague, which remains the leading hub, followed by Brno at 25%. This trend highlights the necessity for hiring managers to strategize their recruitment efforts focused on these key cities.
Noteworthy hiring activity shows that the peak demand reached up to 10 job openings in week 26, while closures peaked at 26 jobs in week 31, signifying a dynamic hiring environment that requires adaptable recruitment strategies for CTOs and Engineering Managers.
The seniority distribution indicates that 57% of available positions are Mid-Senior level, emphasizing the pressing need for skilled professionals and suggesting a strategic focus on attracting this demographic to meet the demand in the tech sector.
With a median time to hire of 35 days, employers are encouraged to streamline their recruitment processes and prepare for potential delays, as competition for Artificial Intelligence Machine Learning Engineers continues to intensify across the European technology landscape.

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

The job market for Artificial Intelligence Machine Learning Engineers in Czechia has exhibited fluctuating trends over the past 12 weeks. With weekly job openings peaking at 10 positions in week 26, the demand appears robust, particularly when compared to the notable closures, which reached a high of 26 jobs in week 31. Notably, the number of jobs opened per week has varied significantly, with an observed increase in hiring activity contrasted by the substantial volume of closed positions. This indicates a dynamic and competitive landscape for Artificial Intelligence Machine Learning talent, requiring targeted recruitment strategies for CTOs and hiring managers. Compared to other roles in Czechia and similar positions across Europe, the hiring trends for these specialized roles reflect emerging challenges and opportunities prevalent in the technology sector.

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 talent market for Artificial Intelligence Machine Learning Engineers in Czechia reveals a nuanced landscape when compared with its European counterparts. Currently, Czechia has a ratio of talent pool to job openings that positions the market as moderately challenging; specifically, with a talent pool significantly surpassing available positions. In comparison, countries like Germany and France exhibit a similar trend, showcasing high demand yet a constrained supply of qualified candidates, resulting in increased competition for top talent. Meanwhile, Poland stands out with a more favorable jobs-to-talent ratio, indicating a somewhat easier hiring environment. Overall, while the future demand for Artificial Intelligence Machine Learning Engineers in Czechia is poised to grow, hiring managers may need to adopt proactive recruitment strategies to secure qualified professionals amidst rising competition across Europe.

Seniority distribution of Machine Learning Engineer job openings in Czechia

Seniority Distribution of Machine Learning Engineering Jobs in Czechia

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Czechia reveals a clear trend towards Mid-Senior level positions, which account for 57% of the total roles available. Entry level positions follow with 29%, while Associate roles represent 8%. This distribution reflects the emerging demand for skilled professionals in the Czech tech landscape, indicating that hiring managers should prioritize recruitment strategies targeting Mid-Senior level candidates.

Preferred employment type for Engineering roles in Czechia

In the Czechia job market, the distribution of engineering roles reflects a strong preference for stability, with 94% of positions classified as full-time. Contract roles constitute 5% of the employment landscape, while part-time opportunities represent a modest 2%. This employment type distribution underscores the demand for Artificial Intelligence Machine Learning Engineers, signaling a potential area for recruitment strategies tailored to attract top talent.

Time to Hire Distribution for Artificial Intelligence in Czechia

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning positions in Czechia shows a noteworthy distribution, with a significant concentration of recruitment activity between 25 to 30 days, where 99 candidates were reported. Notably, hiring continues steadily up to 35 days, accumulating a total of 154 candidates across various intervals. As organizations aim to secure top talent, the data indicates that hiring managers should anticipate potential delays beyond 30 days, as evidenced by a total of 86 candidates in the 35 to 45 days range. Ultimately, this can inform effective recruitment strategies tailored for the Czech tech sector, particularly when targeting Artificial Intelligence Machine Learning Engineers.

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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 current landscape of the Artificial Intelligence Machine Learning job market in Czechia, Prague dominates with 70% of job openings, reflecting its status as the tech hub of the country. Following Prague, Brno accounts for 25% of the job opportunities, indicating a strong second tier of demand in this vibrant city. The remaining cities, including Czechia as a whole, Ostrava, and Pilsen, contribute significantly less, with 4%, 2%, and 1% of job postings, respectively. This distribution underscores Prague's prominence and the compelling opportunities available for Artificial Intelligence Machine Learning Engineers.

Most sought after technologies in Czechia for Machine Learning

Key technologies for Machine Learning Engineers

In examining the landscape of the Artificial Intelligence Machine Learning job market in Czechia, several technologies emerge as pivotal for professionals in this domain. Python leads significantly, with a frequency count of 6,500, underscoring its dominance in data-driven applications. SQL follows closely at 2,543, indicating its central role in data management processes. Additionally, Machine Learning technologies are highly prevalent with a frequency of 3,788, showcasing their importance in AI applications. Other notable technologies include Data Science (1,439) and Java (1,069), which collectively highlight the diverse skill set required for aspiring Artificial Intelligence Machine Learning Engineers in Czechia. For a detailed view of these technology trends, please refer to the accompanying chart.

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