Machine Learning Developer Hiring Trends in Brno, Czechia

This report was last updated on Sep 7, 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 Brno has recently seen a notable fluctuation, with only 4 new roles opened in the past 12 weeks, contrasting sharply with a significant rate of job closures, culminating in a tightening labor market for these positions.
Currently, the talent pool for Artificial Intelligence Machine Learning Engineers in Czechia Brno is becoming increasingly competitive, with top companies such as Canonical, Rohlik Group, and Axelera AI leading recruitment efforts, underscoring a significant demand for skilled professionals in this field.
Despite the demand, with only 25% of job openings located in Brno compared to Prague's 68%, hiring managers must navigate a concentrated market where strategic recruitment efforts are essential in attracting qualified candidates.
The median time to hire for Artificial Intelligence Machine Learning Engineers in Czechia is around 38 days, with a substantial number of positions taking 30 to 40 days to fill, indicating a need for hiring managers to refine their recruitment strategies to meet this challenge.
Key technologies for hiring in the Artificial Intelligence sector include Python, Machine Learning frameworks, and SQL, emphasizing the need for hiring managers to align candidate skills with these critical requirements to enhance their recruitment strategies.

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

Over the past 12 weeks, the Artificial Intelligence Machine Learning job market in Czechia Brno has shown fluctuating activity, with only 4 new positions opened primarily in weeks 26, 32, 33, and 35. In contrast, job closures have been significant, peaking in week 2 with 6 positions closed and maintaining a relatively high closure rate thereafter, with an average of 2 jobs closed weekly. This suggests a tightening labor market for Artificial Intelligence Machine Learning Engineers as opportunities dwindle in comparison to other tech roles, indicating a potential skills gap. When compared to other European regions, hiring activity for this role appears limited, necessitating focused recruitment strategies for CTOs and tech leads aiming to capture available talent in the Czechia Brno tech sector.

Who else is hiring for ai Engineers in Czechia:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	10
Rohlik Group	Czech Republic	Food & Beverages	2014	7
Axelera AI	Netherlands	Semiconductors	2021	6
Barclays	United Kingdom	Financial Services	null	6
ALGOTEQUE Innovation Hub	Poland	Information Technology & Services	2011	5
Bloomreach	United States	Information Technology & Services	2009	4
Cast AI	United States	Information Technology & Services	2019	3
Tricentis	United States	Information Technology & Services	2007	3
EPAM Systems	United States	Information Technology & Services	1993	2
CETIN	Czechia	Telecommunications	2015	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, specifically in Brno, reveal a competitive landscape when compared to other European countries such as Poland, Germany, and Romania. In Czechia, the ratio of available talent to job openings indicates a challenging hiring environment, as highlighted by a lower jobsXTalentPool value. With an increasing number of job openings in countries like Germany and Poland, which boast larger talent pools relative to their job market demands, hiring managers in Czechia may find sourcing qualified candidates for Artificial Intelligence Machine Learning positions more difficult. As such, CTOs and Engineering Managers should consider implementing strategic recruitment strategies to attract the best talent in this high-demand sector.

Seniority distribution of Machine Learning Engineer job openings in Brno

Seniority Distribution of Machine Learning Engineering Jobs in Brno

In the Czechia Brno job market for Artificial Intelligence Machine Learning Engineers, the seniority distribution reveals a predominant presence of Mid-Senior level positions, accounting for 47% of opportunities. Entry-level roles follow closely, representing 30% of job listings, while Internship positions constitute 14%. This distribution highlights the strong demand for skilled professionals, pointing to a favorable environment for talent acquisition in the tech sector.

Preferred employment type for Engineering roles in Czechia

In the Czechia software development job market, the employment type distribution reveals that 95% of engineering roles are full-time positions, signifying a strong preference for stable and long-term employment. Meanwhile, contract roles account for 5% of the market, demonstrating a modest demand for project-based work. Part-time and internship positions represent a very small fraction, with only 2% and less than 1%, respectively, indicating limited opportunities for flexible work arrangements in this sector.

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 Engineers in Czechia exhibits considerable variation, with a notable concentration of hiring periods around the 30 to 40-day mark, as evidenced by 76 and 55 counts, respectively. Hiring managers should anticipate an average hiring timeframe ranging between 30 to 40 days, where 15% of hires extend beyond this period, indicating a competitive talent landscape. Furthermore, 45 counts indicate jobs taking approximately 15 days to fill, suggesting that those seeking to streamline their recruitment processes should optimize their strategies to attract top talent efficiently. As demand continues to grow, especially for Senior Artificial Intelligence Machine Learning Developers, understanding these hiring trends will enable CTOs and recruiters in Czechia Brno to make informed decisions.

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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 job market for Artificial Intelligence Machine Learning Engineers in Czechia, Prague leads with 68% of the job openings, significantly overshadowing Brno at 25%. The remaining cities, including Ostrava and Pilsen, contribute minimally, reflecting the concentration of opportunities in these major urban areas. Notably, the capital continues to dominate the landscape, indicating a crucial hub for talent in the tech sector.

Most sought after technologies in Brno for Machine Learning

Key technologies for Machine Learning Engineers

In the dynamic landscape of the Artificial Intelligence Machine Learning job market in Czechia, particularly in Brno, several technologies dominate recruitment efforts. Python stands out as the most widely utilized programming language, with a frequency of 5,248, followed closely by Machine Learning frameworks, which have a remarkable frequency of 3,149. SQL, essential for data management, is also highly favored, appearing 1,995 times. Data Science and its corresponding tools are drawing attention, cited 1,229 times, while AWS and C++ round out the list, with occurrences of 704 and 609, respectively. For hiring managers, referencing the accompanying chart will provide additional insights into these trends and their implications for recruitment strategies.

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