Machine Learning Developer Hiring Trends in Brno, Czechia

This report was last updated on Aug 9, 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, particularly in Brno, has become increasingly competitive, reflecting a significant net deficit of 21 positions over the last 12 weeks, indicating challenges in securing top talent.
Currently, the talent pool in Czechia Brno comprises a considerable number of technology professionals focusing on Artificial Intelligence and Machine Learning, but the intense competition suggests the need for strategic recruitment approaches among hiring managers.
Leading companies in the region, including Canonical, Axelera AI, and Fosfa a.s., are actively hiring, showcasing the growing demand for skilled Machine Learning Engineers.
With 11 job openings versus 32 positions closed, the current recruitment environment underscores the importance of targeting Mid-Senior level professionals, who constitute 56% of available roles, in captivating the interest of potential candidates.
The median time to hire for Artificial Intelligence Engineers is approximately 37 days, with shifts in hiring trends indicating that recruitment strategies must adapt swiftly to meet the evolving needs of the market in Czechia Brno.

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

Over the last 12 weeks, the Artificial Intelligence Machine Learning engineering job market in Czechia Brno has shown fluctuating trends, with a total of 11 positions opened versus 32 positions closed. This results in a net deficit of 21 jobs, which suggests a tightening competition for available talent in this domain. Compared to other roles in Czechia Brno, this decline illustrates a significant challenge, particularly as the overall tech sector continues to grow. Similarly, when assessing trends across Europe, the hiring landscape for Artificial Intelligence Machine Learning Engineers reflects a demand-supply imbalance, necessitating strategic recruitment initiatives for hiring managers aiming to secure top-tier candidates.

Who else is hiring for ai Engineers in Czechia:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	11
Axelera AI	Netherlands	Semiconductors	2021	8
Fosfa a.s.	Czechia	Mechanical Or Industrial Engineering	1884	4
Oracle	United States	Information Technology & Services	1977	4
Barclays	United Kingdom	Financial Services	null	3
Productboard	United States	Information Technology & Services	2014	2
Gen	United States	Computer & Network Security	2022	2
Česká spořitelna	Czechia	Banking	1825	2
Tricentis	United States	Information Technology & Services	2007	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 job market for Artificial Intelligence Machine Learning Engineers in Czechia, particularly in Brno, presents a unique landscape characterized by the ratio of job openings to the available talent pool. With a competitive number of job openings, the talent pool in Czechia reflects a ratio that indicates a moderate challenge in hiring for this specialization. In comparison, countries such as Germany and the Netherlands exhibit a similar or even higher count of openings but also face challenges due to their larger talent pools. Meanwhile, Poland shows a robust demand with relatively fewer qualified candidates, suggesting varying degrees of recruitment difficulty across the European market. Consequently, hiring managers in Czechia need to adopt targeted recruitment strategies and consider the local market's nuances when seeking to fill Artificial Intelligence Machine Learning positions.

Seniority distribution of Machine Learning Engineer job openings in Brno

Seniority Distribution of Machine Learning Engineering Jobs in Brno

In the burgeoning Artificial Intelligence Machine Learning job market in Czechia Brno, the distribution of available positions highlights a strong demand for skilled professionals. Currently, 56% of the roles are classified as Mid-Senior level, while Entry level positions account for 30% and Internship opportunities represent 12%. This seniority distribution underscores the need for effective recruitment strategies targeting both experienced and emerging talent in the region.

Preferred employment type for Engineering roles in Czechia

The employment type distribution for engineering roles in Czechia reveals a dominant trend towards full-time positions, comprising 94% of job opportunities. Meanwhile, contract roles represent 5%, and part-time positions account for 1%. This data underscores the preference for stable, long-term employment in the tech sector, particularly for Artificial Intelligence Machine Learning Engineers in Czechia, especially in Brno.

Time to Hire Distribution for Artificial Intelligence in Czechia

How long does it take to hire Artificial Intelligence Engineers

The data indicates a varied time to hire distribution for Artificial Intelligence and Machine Learning job positions in Czechia, with a notable peak at 30 days, where 116 candidates were reported. The hiring trend reveals that 58 applicants were hired within 15 days, while the time frame of 25 days recorded 66 hires. As hiring managers evaluate recruitment strategies for CTOs and team leads, it is essential to recognize that the majority of candidates, roughly 43, were hired within a 10-day period, emphasizing a potentially heightened competitive landscape. In light of these findings, organizations seeking to fill Artificial Intelligence Machine Learning Developer opportunities in Czechia and specifically Brno should adapt their strategies to align with these market trends.

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Most popular cities in Czechia to hire Artificial Intelligence Engineers

Top 5 cities in Czechia to hire Artificial Intelligence Engineers

The job market for Artificial Intelligence Engineers in Czechia is predominantly centered in Prague, which accounts for approximately 73% of the total job openings. Brno follows with a significant 27%, representing a growing hub for technology talent. Other cities, such as Ostrava and Pilsen, contribute minimally, emphasizing the concentration of demand in the capital and Brno, as illustrated in the accompanying chart.

Most sought after technologies in Brno for Machine Learning

Key technologies for Machine Learning Engineers

In the context of the Artificial Intelligence Machine Learning job market in Czechia, particularly in Brno, several technologies dominate the landscape. Python leads with a remarkable frequency of 7,675, followed closely by Machine Learning at 4,406. SQL is also highly utilized, with a frequency of 3,076, reflecting its importance in data management and analysis. Additionally, AI technologies, with a frequency of 2,709, highlight the growing demand for AI expertise. These insights are visualized in the accompanying chart, offering a clear overview of the most commonly used technologies in this thriving job market.

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