Machine Learning Developer Hiring Trends in Budapest, Hungary

This report was last updated on Sep 6, 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 in Hungary, particularly in Budapest, is characterized by a significant talent pool, though hiring remains competitive due to an imbalance in job openings versus available talent.
Currently, there are 50 job openings for Artificial Intelligence Machine Learning Engineers in Budapest, highlighting a robust demand amidst a modest talent supply, making specialized recruitment strategies essential for hiring managers.
Budapest overwhelmingly dominates the market with approximately 94% of job postings for Artificial Intelligence Engineers located in the city, underscoring its status as the primary tech hub in Hungary.
Top companies actively hiring in this sector include Exadel, EPAM Systems, and Deutsche Telekom IT Solutions HU, reflecting a diverse array of industries seeking skilled AI and ML professionals.
The median time to hire for Artificial Intelligence Engineers in Hungary is currently 40 days, indicating the potential need for streamlined recruitment processes to attract top-tier talent in a competitive landscape.

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

In the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Hungary Budapest has displayed notable fluctuations. The number of new job postings peaked at 10 positions in week 31, while the lowest was recorded at just 1 job in weeks 29 and 30. Conversely, job closures were consistently high, with a staggering 18 positions closed in both weeks 25 and 31, indicating a net loss of opportunities in the market. This contrasts sharply with other tech roles in Hungary Budapest, which have exhibited more stability, suggesting a more competitive landscape for AI and ML talent. Compared to the broader European market, where the hiring trends for Artificial Intelligence Machine Learning Developers remain robust, Hungary's localized market may require specialized recruitment strategies for CTOs and team leads aiming to attract top talent.

Who else is hiring for ai Engineers in Hungary:

Company name	Country	Industry	Founded	# Job openings
Exadel	United States	Information Technology & Services	1998	6
EPAM Systems	United States	Information Technology & Services	1993	4
Deutsche Telekom IT Solutions HU	Hungary	Information Technology & Services	2006	4
WorldQuant	United States	Financial Services	2007	4
Wise	United Kingdom	Financial Services	2011	4
TAKKT Group	Germany	Wholesale	1999	4
Colossyan	United States	Information Technology & Services	2020	3
team.blue	Belgium	Information Technology & Services	2019	3
Greif	United States	Packaging & Containers	1877	3
SEON	United States	Information Technology & Services	2017	3

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Talent pool vs job openings for Artificial Intelligence Engineers in Hungary

How competitive it is to hire Artificial Intelligence Engineers in Hungary

The Artificial Intelligence Machine Learning Engineers job market trends in Hungary reflect a competitive landscape when compared to other European nations. In Hungary, the number of job openings significantly outnumbers the available talent pool, resulting in a challenging hiring environment for CTOs and engineering managers. For example, while countries like Poland and Germany may exhibit more favorable jobs-to-talent ratios, Hungary’s current talent pool remains constrained. With 50 job openings currently available against a modest talent pool, recruitment strategies need to focus on efficient sourcing and training initiatives. This situation highlights the urgency for hiring managers in Budapest to enhance their recruitment approaches as demand for Artificial Intelligence Machine Learning Developer opportunities continues to rise.

Seniority distribution of Machine Learning Engineer job openings in Budapest

Seniority Distribution of Machine Learning Engineering Jobs in Budapest

In the Budapest market for Artificial Intelligence and Machine Learning Engineering positions, the seniority distribution reveals a significant demand for Mid-Senior level professionals, accounting for 69% of the total roles. Entry level positions comprise 13% of the job market, while Associate roles represent 5%. This data underscores a robust trend in hiring Mid-Senior level talent to meet the increasing specialized needs of the tech sector in Hungary.

Preferred employment type for Engineering roles in Hungary

In Hungary, the employment type distribution reveals a strong preference for full-time positions, which make up approximately 95% of the job market for engineering roles. This is followed by contract roles at around 4%, and part-time positions account for about 3%. The data underscores the dominance of full-time employment in Budapest's engineering landscape, highlighting the need for hiring managers to prioritize these types of positions when recruiting Artificial Intelligence and Machine Learning Engineers.

Time to Hire Distribution for Artificial Intelligence in Hungary

How long does it take to hire Artificial Intelligence Engineers

The distribution of time to hire for Artificial Intelligence roles in Hungary reveals significant insights for hiring managers in the tech sector. A notable 56 candidates were hired within 30 days, indicating a swift recruitment process for Artificial Intelligence Machine Learning Engineers. However, as the time to hire extends beyond 30 days, the numbers gradually decline, with only 3 positions being filled at 95 days. This pattern highlights the competitive landscape in Budapest's job market, suggesting that urgent recruitment strategies may be essential for CTOs and Engineering Managers aiming to secure top talent in this fast-evolving field.

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Most popular cities in Hungary to hire Artificial Intelligence Engineers

Top 5 cities in Hungary to hire Artificial Intelligence Engineers

The city distribution for Artificial Intelligence Engineer job openings in Hungary reveals that Budapest remains the dominant hub, accounting for approximately 94% of all relevant job listings. Following Budapest, Hungary as a whole has a mere 4% of postings, while Szeged, with only 2% of the job market, and both Remote and Debrecen, each contributing about 1% of the market, highlight the overwhelming concentration of opportunities in the capital. This data is illustrated in the accompanying chart.

Most sought after technologies in Budapest for Machine Learning

Key technologies for Machine Learning Engineers

The Artificial Intelligence and Machine Learning job market in Hungary, specifically in Budapest, is characterized by a range of technologies that are fundamental for roles within this sector. Notably, Python leads with a significant usage frequency of 5,248, making it the primary programming language for AI and ML development. Following Python, SQL and Machine Learning are also prevalent, with frequencies of 1,995 and 3,149 respectively, underscoring their importance in data handling and model development. Additionally, Data Science, with a frequency of 1,229, highlights the increasing need for professionals skilled in analyzing and interpreting complex data sets. These insights are represented in the accompanying chart, reflecting the current technological landscape for Artificial Intelligence and Machine Learning positions.

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