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Machine Learning Developer Hiring Trends in Hungary

This report was last updated on Aug 17, 2025

Bence Gedai / Founder

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 Hungary exhibits a unique set of trends, characterized by fluctuating job openings and closures over the past three months.
  • Currently, there are approximately 10 candidates per job opening in Hungary, indicating a moderate level of competition for hiring managers in this sector.
  • Budapest remains the dominant city for Artificial Intelligence Engineer job opportunities, accounting for 93% of the total market, which emphasizes the importance of this urban center for recruitment efforts.
  • Notably, the median time to hire for Artificial Intelligence Engineers in Hungary stands at 40 days, suggesting that hiring managers may encounter moderate delays when seeking to fill these positions.
  • Top companies currently hiring in Hungary include Exadel, Deutsche Telekom IT Solutions HU, and Canonical, highlighting the active demand for skilled Artificial Intelligence Machine Learning Engineers across the industry.
Number of roles opened and closed for Machine Learning Engineers in Hungary in the last 3 months

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 trends, with a peak of 17 new roles posted in week 23. However, this surge is juxtaposed against a significant number of positions closed, which reached a high of 25 in the same week. Over this period, an average of 8.08 jobs closed each week compared to an average of 7.25 jobs opened, indicating a concerning imbalance. Compared to other technology roles in Hungary, these trends suggest an increasingly competitive landscape for hiring managers and CTOs. It underscores the necessity for effective recruitment strategies to attract top talent in the Artificial Intelligence Machine Learning sector, as emerging trends within Europe indicate similar challenges across various technology landscapes.

Who else is hiring for ai Engineers in Hungary:

Company name Country Industry Founded # Job openings
Exadel logo Exadel United States Information Technology & Services 1998 6
Canonical logo Canonical United Kingdom Information Technology & Services 2004 5
Deutsche Telekom IT Solutions HU logo Deutsche Telekom IT Solutions HU Hungary Information Technology & Services 2006 5
Wise logo Wise United Kingdom Financial Services 2011 5
WorldQuant logo WorldQuant United States Financial Services 2007 4
TAKKT Group logo TAKKT Group Germany Wholesale 1999 4
Colossyan logo Colossyan United States Information Technology & Services 2020 3
HCLTech – Hungary logo HCLTech – Hungary null null null 3
MSCI logo MSCI United States Financial Services 1969 3
Diligent logo Diligent United States Information Technology & Services 2001 2

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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 job market for Artificial Intelligence Machine Learning Engineers in Hungary reveals a competitive landscape. With a ratio indicating an estimated talent pool of 10 candidates for every available job opening, Hungary presents a moderate hiring environment. In comparison, countries such as Germany, France, and the Netherlands display higher job opening counts but smaller talent pools, implying a more challenging recruitment scenario for CTOs and hiring managers there. This suggests that while the supply of skilled machine learning talent in Hungary is solid, companies may still face challenges in filling roles due to increasing demand. Therefore, it is crucial for engineering leaders in Hungary to adopt strategic recruitment approaches to attract and retain top-tier talent in the Artificial Intelligence 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 70% of the roles are at the Mid-Senior level, with Entry level positions comprising 13% and Associate roles accounting for 5%. This distribution highlights a significant demand for experienced professionals in the field, suggesting that hiring managers should prioritize candidates with relevant experience when considering recruitment strategies for CTOs in Hungary's tech sector.

Chart about preferred employment type for Engineering roles in Hungary

Preferred employment type for Engineering roles in Hungary

The employment type distribution for engineering roles in Hungary reveals a significant preference for full-time positions, which comprise 96% of the job market. Contract roles represent 4% of the total, while part-time positions account for 3%. This distribution emphasizes the stability sought by employers and candidates alike within the competitive landscape of the Artificial Intelligence Machine Learning job market in Hungary.

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 Engineer positions in Hungary showcases a varied distribution, with critical implications for recruitment strategies. Notably, a significant 71 counts reflect a hiring timeframe of 30 days, while the ranges of 15 days and 25 days exhibit 36 and 26 counts, respectively. This indicates that hiring managers may often experience moderate delays in securing talent. Conversely, longer waiting periods of 70 days and above are less common, with counts diminishing to just 6, 4, and 15 in the 70, 75, and 80-day ranges. Such data can guide CTOs and engineering managers in adjusting their hiring expectations and strategizing effectively in the rapidly evolving Artificial Intelligence Machine Learning job market in Hungary.

Expolore reports from other European Developer talent pools

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 Engineers is heavily concentrated in key cities, with Budapest leading the way at 93% of the total job market. Following Budapest, Hungary has 4% of openings, while Szeged and Debrecen account for 2% and 1% respectively. This data underscores the significance of Budapest as a hub for career opportunities in the Artificial Intelligence and Machine Learning sector.

Most sought after technologies in Hungary for Machine Learning

Key technologies for Machine Learning Engineers

In analyzing the Artificial Intelligence Machine Learning job market trends in Hungary, several key technologies stand out as essential for professionals in this field. Python leads the way with a frequency of 6,500, making it the top programming language for Machine Learning tasks. Following closely are SQL and Machine Learning itself, with frequencies of 2,543 and 3,788, respectively, highlighting their importance in data manipulation and model development. Additionally, the significance of AI, with a frequency of 2,217, underscores the growing emphasis on artificial intelligence solutions. This data is further illustrated in the accompanying chart, which provides a visual representation of these prevalent technologies.

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