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Machine Learning Developer Hiring Trends in Belgrade, Serbia

This report was last updated on Sep 7, 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 Engineers job market trends in Serbia Belgrade indicate a net decrease in available roles, with 14 new positions posted but 20 closed in the last three months, presenting challenges for tech companies.
  • Belgrade dominates the local job market for Artificial Intelligence Machine Learning Engineers, representing 83% of job openings, reinforcing its critical role in Serbia's tech infrastructure.
  • A significant portion of job openings, 66%, are targeted towards mid-senior level candidates, suggesting that hiring managers should focus their recruitment strategies on attracting this level of talent within Serbia Belgrade's tech sector.
  • The median time to hire for Artificial Intelligence Engineers in Serbia is 34 days, indicating a competitive and timely hiring process that necessitates swift action from recruiting managers to secure talent.
  • The technology landscape reveals Python as the leading technology sought after, followed by SQL and Machine Learning, providing essential insights for companies looking to refine their recruitment strategies for Artificial Intelligence Machine Learning Developers in Serbia Belgrade.
Number of roles opened and closed for Machine Learning Engineers in Belgrade in the last 3 months

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

In the evolving job market for Artificial Intelligence Machine Learning Engineers in Serbia Belgrade, a total of 14 new positions were posted over the last 12 weeks, indicating a steady interest from tech companies. Notably, the week of 30 recorded the highest influx with 4 new job postings. However, there is a troubling trend; 20 positions were closed during the same timeframe, leading to a significant net decrease in available roles. Compared to other regions in Europe, the demand for these specialized positions in Serbia Belgrade showcases a unique challenge for hiring managers, necessitating targeted recruitment strategies to attract and retain talent.

Who else is hiring for ai Engineers in Serbia:

Company name Country Industry Founded # Job openings
NTT DATA Europe & Latam logo NTT DATA Europe & Latam Spain Information Technology & Services 1967 8
Tenstorrent logo Tenstorrent Canada Computer Hardware 2016 6
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 4
AMD logo AMD United States Semiconductors 1969 3
Incode logo Incode United States Information Technology & Services 2015 3
Wonder Dynamics logo Wonder Dynamics United States Entertainment 2017 3
Acronis logo Acronis Switzerland Information Technology & Services 2003 2
Constructor Tech logo Constructor Tech Switzerland E-learning 2019 2
symphony.is logo symphony.is United States Information Technology & Services 2007 2
Perplexity logo Perplexity United States Information Technology & Services 2022 2

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Talent pool vs job openings for Artificial Intelligence Engineers in Serbia

How competitive it is to hire Artificial Intelligence Engineers in Serbia

The job market for Artificial Intelligence Machine Learning Engineers in Europe exhibits varying dynamics across different countries. Serbia's strong tech talent pool is highlighted by a competitive number of job openings versus the available talent. Specifically, Serbia boasts a favorable ratio of talent pool to job openings, suggesting a viable recruitment landscape. In comparison, countries such as Germany, France, and the United Kingdom are facing a higher number of job opportunities with a limited talent supply, which complicates hiring processes in these regions. Consequently, while it may be relatively easier to secure talent in Serbia, recruitment in more saturated markets like Germany may prove to be more challenging.

Seniority distribution of Machine Learning Engineer job openings in Belgrade

Seniority Distribution of Machine Learning Engineering Jobs in Belgrade

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Serbia, particularly in Belgrade, the seniority distribution reveals notable trends. Mid-Senior level positions dominate, accounting for 66% of available jobs. Entry-level roles represent 18%, while Associate positions contribute 8% to the overall seniority distribution. This data underscores the importance for hiring managers to focus on mid-level talent when devising recruitment strategies in Serbia Belgrade's tech sector.

Chart about preferred employment type for Engineering roles in Serbia

Preferred employment type for Engineering roles in Serbia

In Serbia's evolving tech landscape, the employment type distribution for engineering roles reflects a strong preference for stability, with 95% of positions being full-time. Contract roles comprise 4%, while internships account for just 1% of the job market. This data underscores the robust demand for permanent staffing solutions among employers, particularly in the competitive fields of Artificial Intelligence and Machine Learning.

Time to Hire Distribution for Artificial Intelligence in Serbia

How long does it take to hire Artificial Intelligence Engineers

In the Serbian job market for Artificial Intelligence and Machine Learning Engineers, the time to hire shows significant variability, providing insights for hiring managers in Belgrade. The majority of hires, 31 candidates, were processed within a 25-day timeframe, indicating a competitive landscape where organizations need to act swiftly. A notable 27 candidates were hired within 30 days, further emphasizing the urgency in filling these roles. However, as the time to hire extends to 40 days, the numbers decrease, with only 12 candidates hired. For CTOs and engineering managers, understanding this time to hire distribution is crucial for effective recruitment strategies in Serbia's tech sector.

Expolore reports from other European Developer talent pools

Most popular cities in Serbia to hire Artificial Intelligence Engineers

Top 5 cities in Serbia to hire Artificial Intelligence Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning Engineers job market in Serbia, Belgrade stands out as the leading city, accounting for 83% of the relevant job openings. Novi Sad follows with 10%, while the Remote category represents 4% of the job market. The data highlights the capital's dominance in the job opportunities available for Artificial Intelligence and Machine Learning professionals, underscoring its importance in the country's tech sector.

Most sought after technologies in Belgrade for Machine Learning

Key technologies for Machine Learning Engineers

In analyzing the Artificial Intelligence and Machine Learning job market trends in Serbia, particularly in Belgrade, a number of technologies stand out for their prevalent usage. Python leads the way, with a frequency of 5,248, reflecting its dominance in the development of AI and Machine Learning applications. Following closely are SQL at 1,995, essential for data management, and Data Science at 1,229, signaling a strong emphasis on data-driven decision-making. Other noteworthy technologies include Machine Learning (3,149), known for powering predictive models, and AI (1,615), underscoring the foundational importance of artificial intelligence in this sector. The accompanying chart illustrates the frequency of these technologies in the hiring landscape, providing valuable insights for recruitment strategies targeted at Artificial Intelligence and Machine Learning Engineer candidates in Serbia.

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