Machine Learning Developer Hiring Trends in 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 job market for Artificial Intelligence Machine Learning Engineers in Hungary has shown fluctuating dynamics with a peak of 12 new openings in week 34 and a significant closure of 22 positions in week 31, indicating a challenging recruitment environment.
Python reigns as the dominant programming language for Machine Learning roles in Hungary, followed by SQL and Data Science, which are crucial for data management and analysis, underscoring essential technology usage trends.
A robust 69% of job openings for Artificial Intelligence Machine Learning Engineers are Mid-Senior level, revealing a strong demand for experienced professionals in this expanding field.
Budapest stands out as the key city for talent acquisition in Hungary, accounting for an overwhelming 92% of job postings for Artificial Intelligence Engineers, highlighting the city's centrality in the AI job market.
The median time to hire for Artificial Intelligence Engineers in Hungary is currently at 40 days, suggesting that hiring managers must proactively refine their recruitment strategies to align with the competitive landscape for AI talent.

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

In the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Hungary has exhibited fluctuating dynamics, with a peak of 12 new openings recorded in week 34. However, this surge is contrasted by a considerable number of positions closed, reaching up to 22 in week 31. Overall, this suggests a challenging environment for recruitment in Hungary, particularly when compared to other roles within the technology landscape. In contrast to other European countries, the demand trajectory for Artificial Intelligence Machine Learning positions appears to be less stable, necessitating targeted recruitment strategies for CTOs and hiring managers aiming to attract top talent in this competitive sector.

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

Here are a few specialized ai agencies you can trust:

Want to get personalized matches? Get started

Talent pool vs job openings for Artificial Intelligence Engineers in Hungary

How competitive it is to hire Artificial Intelligence Engineers in Hungary

The job market for Artificial Intelligence Machine Learning Engineers in Europe reflects varying dynamics across countries. For instance, Hungary exhibits a notable job market with a significant number of openings relative to its talent pool. With a jobs-to-talent pool ratio that suggests moderate availability, hiring managers may find it moderately challenging to secure the right talent. In contrast, countries like Germany, France, and the Netherlands are experiencing higher demand with a larger talent pool, making recruitment more competitive. This analysis underscores the necessity for strategic recruitment approaches for CTOs and engineering leaders aiming to attract qualified Machine Learning talent specifically in Hungary's tech sector.

Seniority distribution of Machine Learning Engineer job openings in Hungary

Seniority Distribution of Machine Learning Engineering Jobs in Hungary

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Hungary reveals that 69% of positions are classified as Mid-Senior level, a significant segment indicative of the demand for experienced professionals in this field. Entry level roles comprise 12% of the market, suggesting opportunities for newcomers, while Associate positions account for 5%. These trends indicate a robust market for Senior Artificial Intelligence Machine Learning Developers in Hungary.

Preferred employment type for Engineering roles in Hungary

In Hungary's engineering job market, the distribution of employment types highlights a significant preference for full-time positions, which account for 96% of the available roles. Contract roles represent 4% of the market, while part-time positions make up just 3%. This data suggests a robust demand for full-time talent, particularly in the Artificial Intelligence Machine Learning sector.

Time to Hire Distribution for Artificial Intelligence in Hungary

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineers in Hungary exhibits a varied distribution, with the most significant concentration of hires occurring within the 30 to 39-day range, which includes 56 positions filled in 30 days and 36 in 35 days. Notably, there are 32 hires made at the 10-day mark, indicating that swift recruitment processes are viable in this sector. However, longer hiring times are observed as well, with 27 positions requiring 60 days and a smaller number of roles extending to 100 days. This data highlights the necessity for hiring managers in Hungary's technology landscape to proactively adapt their recruitment strategies to align with these trends, especially to meet the future demand for Artificial Intelligence Machine Learning Engineers in Hungary.

Expolore reports from other European Developer talent pools

View All Job Reports

Most popular cities in Hungary to hire Artificial Intelligence Engineers

Top 5 cities in Hungary to hire Artificial Intelligence Engineers

In Hungary, the distribution of job openings for Artificial Intelligence Machine Learning Engineers is predominantly concentrated in Budapest, which accounts for 92% of the total relevant job postings. Following Budapest, Szeged represents 2% of the openings, while Debrecen contributes less than 2%. This data underscores the significance of Budapest as a hub for AI talent, as illustrated in the accompanying chart.

Most sought after technologies in Hungary for Machine Learning

Key technologies for Machine Learning Engineers

In examining the Artificial Intelligence Machine Learning job market trends in Hungary, a clear hierarchy of technology usage emerges. Python dominates with a frequency of 5,248, establishing itself as the primary language for Machine Learning applications. Following closely are SQL and Data Science, with frequencies of 1,995 and 1,229 respectively, highlighting their importance in managing and analyzing data. Machine Learning, with a frequency of 3,149, underscores its critical role in AI initiatives. Additionally, Deep Learning and NLP, with frequencies of 554 and 467 respectively, indicate specialized skills that are increasingly sought after in candidates. For a comprehensive view of these technologies, please refer to the attached chart.

Have a great project in mind?

We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.