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Machine Learning Developer Hiring Trends in Budapest, 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 Engineer job market in Hungary, and specifically in Budapest, is characterized by a competitive landscape with a significant number of job openings.
  • Budapest accounts for 93% of all Artificial Intelligence Engineer job opportunities in Hungary, making it the primary hub for talent acquisition in this sector.
  • In the past 12 weeks, job postings for Artificial Intelligence Machine Learning Engineers peaked at 14, while closures reached 19, indicating a volatile recruitment dynamic that necessitates effective hiring strategies.
  • A notable 75% of positions available are at the Mid-Senior level, suggesting that hiring managers should prioritize attracting experienced candidates to remain competitive in Hungary's evolving tech landscape.
  • The median time to hire for Artificial Intelligence Engineers in Hungary is currently 40 days, emphasizing the need for recruitment teams to streamline their processes to attract top talent in a timely manner.
Number of roles opened and closed for Machine Learning Engineers in Budapest in the last 3 months

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

The Artificial Intelligence Machine Learning Engineer job market in Hungary, particularly in Budapest, has shown fluctuations over the past 12 weeks. Notably, new job postings peaked at 14 in week 23, indicating a significant surge in demand. However, this was contrasted by a higher rate of job closures peaking at 19 in week 23 as well, suggesting a competitive landscape where roles may remain unfilled. In comparison to other roles within the same region and across Europe, the recruitment dynamics for Artificial Intelligence Machine Learning Engineers reveal a volatile market, making effective recruitment strategies crucial for CTOs and hiring managers in Hungary Budapest's tech sector.

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, specifically Budapest, presents a competitive landscape, characterized by a substantial number of job openings relative to the available talent pool. Currently, Hungary shows a jobs-to-talent ratio that indicates a tighter recruitment environment compared to countries like Germany, France, and the Netherlands, where the demand is high yet the talent supply remains comparatively more abundant. This may suggest that hiring managers in Hungary face challenges in sourcing qualified candidates, potentially necessitating strategic recruitment initiatives to attract talent. The local market's dynamics highlight a need for innovative hiring strategies as the future demand for Artificial Intelligence Machine Learning Engineers 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 job market for Artificial Intelligence Machine Learning Engineers, 75% of positions are categorized as Mid-Senior level, while Entry level roles account for 13% and Associate positions make up 6%. This distribution indicates a strong demand for experienced talent in the AI/ML sector, suggesting that hiring managers should focus their recruitment strategies on attracting Mid-Senior level candidates to ensure a competitive advantage in Hungary's evolving tech landscape.

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 indicates a strong preference for full-time positions, accounting for 96% of the job market. Contract roles comprise 4% of the employment landscape, while part-time opportunities represent a mere 3%. This data underscores the significance of full-time employment as a dominant factor in the hiring strategies for Artificial Intelligence and Machine Learning Engineers in Budapest.

Time to Hire Distribution for Artificial Intelligence in Hungary

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence roles in Hungary demonstrates a significant variance, with notable peaks at 30 days (71 counts) and 15 days (36 counts), indicating a preference for quick fills in the recruitment process. A consistent demand can be observed in the 10 to 40 days range, which collectively accounts for the majority of hires. This suggests that CTOs and hiring managers in Budapest must be prepared for a competitive landscape, where prompt recruitment strategies are crucial to capture top talent in the Artificial Intelligence and Machine Learning job market. Furthermore, given the complexities of roles such as Machine Learning Engineers, adapting recruitment timelines may be necessary to align with candidate availability and market dynamics.

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 location distribution for Artificial Intelligence Engineer job openings reveals a significant concentration in Budapest, which accounts for 93% of the total opportunities. The remaining cities show much lower figures, with Hungary at 4%, Szeged at 2%, and Debrecen and Remote both at 1%. This data underscores the capital's prominence as a hub for Artificial Intelligence Machine Learning job market trends.

Most sought after technologies in Budapest for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Hungary, particularly in Budapest, several technologies stand out. Most notably, Python remains the predominant language, utilized in 6,500 job postings, highlighting its significance in AI and ML development. Following Python, SQL ranks as the second most common technology, appearing in 2,543 listings, underlining the importance of data manipulation and retrieval. Additionally, Machine Learning frameworks, featured in 3,788 advertisements, emphasize the demand for expertise in algorithmic development. Data Science skills are also prominent, with 1,439 mentions, showcasing the integration of AI with analytical processes. This is complemented by tools such as AWS and NLP, which are essential in cloud computing and natural language processing applications. For more insights into these trends, please refer to the accompanying chart.

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