Machine Learning Developer Hiring Trends in Serbia

This report was last updated on Aug 16, 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 job market in Serbia is currently experiencing a net decrease in available positions, with 41 openings and 45 closures over the last 12 weeks, highlighting challenges for hiring managers in retaining AI talent.
Key technologies sought after in job listings include Python, Machine Learning, SQL, and Data Science, which are critical for fulfilling recruitment needs for Artificial Intelligence Machine Learning Engineers in Serbia.
The seniority distribution indicates a significant demand for Mid-Senior level professionals, comprising 53% of the job market, emphasizing the need for hiring strategies focused on attracting experienced candidates.
Belgrade dominates the recruitment landscape for Artificial Intelligence Engineers, accounting for 83% of job openings, followed by Novi Sad with 9%, making these cities pivotal for sourcing talent.
With a median time to hire of 35 days, hiring managers should be prepared for varied lead times when recruiting Artificial Intelligence Machine Learning Engineers, requiring adaptive recruitment strategies to meet current market conditions.

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

In Serbia, the job market for Artificial Intelligence Machine Learning Engineers has shown a fluctuating trend over the past 12 weeks. A total of 41 new positions were opened, peaking at 9 openings in week 31, while 45 roles were closed during the same period, indicating a net decrease in available positions. This contrasts starkly with other roles in the Serbian tech sector, where demand remains steadier, highlighting potential challenges in retention or sourcing for AI and Machine Learning talent. As hiring managers evaluate recruitment strategies for CTOs in Serbia's technology landscape, understanding these dynamics is critical to addressing the future demand for Artificial Intelligence Machine Learning Engineers.

Who else is hiring for ai Engineers in Serbia:

Company name	Country	Industry	Founded	# Job openings
NTT DATA Europe & Latam	Spain	Information Technology & Services	1967	11
Tenstorrent	Canada	Computer Hardware	2016	6
Bending Spoons	Italy	Information Technology & Services	2013	4
Axelera AI	Netherlands	Semiconductors	2021	4
Microsoft	United States	Information Technology & Services	1975	4
AMD	United States	Semiconductors	1969	3
Incode	United States	Information Technology & Services	2015	3
Wonder Dynamics	United States	Entertainment	2017	2
Perplexity	United States	Information Technology & Services	2022	2
Constructor Tech	Switzerland	E-learning	2019	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 reflects a complex landscape that varies significantly by country. For instance, Serbia has a high ratio of talent pool to job openings, suggesting a more favorable environment for hiring, unlike countries such as Germany and France, where demand exceeds the available talent. In comparison, the recruitment of Artificial Intelligence Machine Learning Engineers is notably competitive in the UK due to its limited talent pool. Thus, while Serbia may present opportunities with its impressive supply of qualified candidates, the overall market dynamics indicate that recruitment strategies must be carefully tailored, especially for those in countries experiencing tighter talent availability.

Seniority distribution of Machine Learning Engineer job openings in Serbia

Seniority Distribution of Machine Learning Engineering Jobs in Serbia

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Serbia reveals a notable concentration in the Mid-Senior level category, accounting for 53% of available positions. Entry level jobs represent 21% of the market, while Associate roles make up 10%. This distribution highlights the increasing demand for experienced talent, suggesting a strategic focus for hiring managers aiming to bolster their teams with skilled professionals in this competitive job market.

Preferred employment type for Engineering roles in Serbia

In Serbia's dynamic tech landscape, the employment distribution for engineering roles reveals a strong preference for full-time positions, comprising 94% of the job market. Contract roles represent a modest 4%, while part-time positions account for about 2%. This distribution highlights a significant opportunity for hiring managers focused on securing full-time Artificial Intelligence Machine Learning Engineers, catering to the increasing demand in the technology sector.

Time to Hire Distribution for Artificial Intelligence in Serbia

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence and Machine Learning Engineer positions in Serbia shows a diverse distribution, with a notable concentration of hires occurring within the 25 to 30 day range, which accounts for 36 and 35 job placements respectively. Additionally, 22 positions were filled within 10 days, reflecting a quick turnaround for some roles. Hiring managers should anticipate a potential lead time of up to 55 days for a significant portion of candidates. This data indicates that while there is a considerable demand for talent in the Artificial Intelligence Machine Learning job market in Serbia, companies may need to adapt their recruitment strategies based on these trends to attract the right candidates efficiently.

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Most popular cities in Serbia to hire Artificial Intelligence Engineers

Top 5 cities in Serbia to hire Artificial Intelligence Engineers

In Serbia, the location distribution for Artificial Intelligence Engineer job openings reveals a significant concentration in Belgrade, which accounts for 83% of the total positions. Following Belgrade, Novi Sad represents 9% of the job market, while the category 'Remote' captures 4% of the openings. This data highlights the capital's dominance in the Artificial Intelligence Machine Learning job market in Serbia, as depicted in the accompanying chart.

Most sought after technologies in Serbia for Machine Learning

Key technologies for Machine Learning Engineers

In analyzing the Artificial Intelligence Machine Learning job market trends in Serbia, several technologies stand out based on their frequency of usage among job listings. The most commonly sought technology is Python, appearing in 6,500 listings, which underscores its significance in the field. Following closely is Machine Learning, referenced in 3,788 listings, highlighting its pivotal role in the industry. SQL, with 2,543 mentions, is essential for data manipulation and querying. Data Science is also prominently featured with 1,439 listings, indicating a strong emphasis on analytical skills. Additionally, Java and C++ are noted in 1,069 and 730 listings respectively, reflecting the diverse programming expertise sought after in potential candidates. For a detailed overview, please refer to the accompanying chart.

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