Machine Learning Developer Hiring Trends in 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 job market for Artificial Intelligence Machine Learning Engineers in Czechia is currently experiencing substantial fluctuations, with a peak of 12 job openings in week 33 over the last 12 weeks, indicating robust demand but also notable challenges in hiring and retention.
A total of 51% of job openings for Artificial Intelligence and Machine Learning Engineers in Czechia are at the Mid-Senior level, underscoring the necessity for tailored recruitment strategies focused on attracting skilled professionals to meet the growing industry demand.
Prague emerges as the dominant hub for Artificial Intelligence Engineer roles, accounting for 75% of job postings, followed by Brno at 27%, signaling the importance of targeting these urban centers in recruitment efforts.
Czechia's hiring climate is competitive, with a significant number of job openings (totaling 3,000) juxtaposed against a limited talent pool, leading to a challenging environment for hiring managers seeking to fill these specialized roles.
The median time to hire for Artificial Intelligence Engineers in Czechia stands at 38 days, emphasizing the need for efficient recruitment strategies to maintain competitiveness and retain top talent in this rapidly evolving job market.

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

Over the last 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Czechia has shown notable fluctuations. In weeks 24 to 35, there was a peak in job openings with a record of 12 jobs posted in week 33, showcasing a significant interest in these roles. However, this growth contrasts starkly with the number of positions closed, particularly in weeks 25 and 26, where 15 and 9 jobs were closed respectively. This trend highlights a potential challenge in retention or hiring pace that may be relevant for CTOs and hiring managers in the Czech tech sector, emphasizing the need for adaptive recruitment strategies. Compared to other European countries, where the demand for Artificial Intelligence Machine Learning job roles is generally on a steady rise, Czechia's volatility may prompt a reassessment of hiring approaches for Senior Artificial Intelligence Machine Learning Developers.

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 job market for Artificial Intelligence Machine Learning Engineers in Czechia reveals a competitive landscape when compared to other European countries. Currently, Czechia has a significant number of job openings relative to its available talent pool, leading to a jobs-to-talent ratio that suggests challenges in recruitment. For instance, Germany demonstrates a more balanced ratio, showcasing a larger talent pool for its vacancies, while Poland and Hungary provide varying degrees of competition with differing job openings and talent availability. This discrepancy positions Czechia as a harder market for hiring, thereby urging CTOs and Engineering Managers to adopt strategic recruitment approaches in order to secure top talent in this burgeoning sector.

Seniority distribution of Machine Learning Engineer job openings in Czechia

Seniority Distribution of Machine Learning Engineering Jobs in Czechia

In Czechia, the seniority distribution of Artificial Intelligence and Machine Learning Engineering roles reveals that 51% of positions are categorized as Mid-Senior level, followed by 23% at the Entry level and 6% listed as Associate. This distribution highlights a strong demand for skilled professionals and indicates that hiring managers in the tech sector should focus their recruitment strategies on experienced candidates, while also considering entry-level opportunities to nurture future talent.

Preferred employment type for Engineering roles in Czechia

In the Czechia job market, the predominant employment type for engineering roles is full-time positions, comprising 95% of the total distribution. Contract roles account for 5%, while part-time positions represent a smaller fraction, at 2%. This distribution highlights the strong preference for full-time engagements within the software development sector, particularly for specialized roles such as Artificial Intelligence Machine Learning Engineers.

Time to Hire Distribution for Artificial Intelligence in Czechia

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence positions in Czechia illustrates a significant demand for efficiency in recruitment processes. Notably, the highest frequency of hires occurs within the 30 to 35-day range, with 76 and 55 counts respectively, indicating that hiring managers should prioritize quick and effective recruitment strategies. Furthermore, a total of 53 candidates were hired within a 25-day time frame, emphasizing the competitive nature of the Artificial Intelligence Machine Learning job market in Czechia. In contrast, fewer hires occurred beyond the 70-day mark, suggesting that talent may be lost due to prolonged hiring cycles. As such, awareness of these trends can inform future demand for Artificial Intelligence Machine Learning Engineers and optimize recruitment strategies in Czechia's tech sector.

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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, the distribution of Artificial Intelligence Engineer openings reveals a strong concentration in urban centers. Notably, Prague leads with 75% of the total job postings, followed by Brno at 27%, while the remainder is significantly lower, with just 6% across the rest of the country. This underscores Prague's role as the primary hub for technology talent within the sector.

Most sought after technologies in Czechia for Machine Learning

Key technologies for Machine Learning Engineers

The job market for Artificial Intelligence and Machine Learning Engineers in Czechia is significantly influenced by a variety of technologies. Notably, Python leads with a frequency of 5,248, establishing itself as the primary language for AI and ML development. Following closely, SQL is utilized in 1,995 instances, emphasizing the importance of data management and manipulation skills. Other critical technologies include Machine Learning at 3,149, Data Science at 1,229, and AI itself with 1,615 mentions. The attached chart illustrates these technology trends, providing hiring managers with insights to guide recruitment strategies and align them with the prevailing market demands.

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