Machine Learning Developer Hiring Trends in Belgrade, 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 Engineers job market in Serbia, particularly in Belgrade, is witnessing fluctuating activity, with 16 new roles opened versus 30 closed in the past 12 weeks, resulting in a negative net balance and highlighting potential recruitment challenges for hiring managers.
Belgrade is the leading hub for Artificial Intelligence Machine Learning opportunities, accounting for 82% of job openings in Serbia, followed by Novi Sad with 10%, emphasizing the capital's central role in attracting tech talent and opportunities.
A significant 71% of job postings in the Serbian market cater to Mid-Senior level positions, underscoring the strong demand for experienced talent, while Entry-level and Associate roles constitute 18% and 9%, respectively.
The hiring landscape for Artificial Intelligence Machine Learning Engineers is highly competitive, with a median time to hire of 35 days, indicating the need for strategic recruitment approaches in a market where demand outstrips the available talent pool.
Python is the most sought-after technology for Artificial Intelligence Machine Learning roles in Serbia, closely followed by Machine Learning and SQL, pointing to the essential technical skills for prospective candidates in this evolving sector.

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

In the past 12 weeks, the Artificial Intelligence Machine Learning Engineering job market in Serbia Belgrade has shown fluctuating activity, with a total of 16 new positions posted, peaking at 4 new openings in week 30. However, this growth contrasts sharply with the number of roles closed, which totaled 30 during the same period, indicating a higher attrition rate. This trend raises concerns for hiring managers as the net balance of job openings is negative, suggesting challenges in retaining talent compared to other roles in the region. In comparison to other European countries, the stark difference between openings and closures highlights potential recruitment difficulties and offers insight into recruitment strategies for CTOs seeking to navigate Serbia Belgrade's tech sector.

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 reflects a significant imbalance between job openings and available talent across Europe. In Serbia, there are currently a high number of job openings compared to the relatively smaller talent pool, leading to a challenging recruitment environment for hiring managers. This trend is further complicated when compared to countries like Germany and France, which boast both robust demand and a larger talent base, while Romania, although having a growing talent pool, still falls behind in job openings. Consequently, hiring for Artificial Intelligence Machine Learning positions in Serbia, particularly in Belgrade, may yield strenuous efforts due to the competitive landscape and emerging demand for skilled professionals.

Seniority distribution of Machine Learning Engineer job openings in Belgrade

Seniority Distribution of Machine Learning Engineering Jobs in Belgrade

In the Serbian job market for Artificial Intelligence Machine Learning Engineering, the seniority distribution reflects a notable trend. Mid-Senior level positions constitute 71% of available roles, serving as the dominant category. Entry level roles account for 18%, while Associate positions represent 9%. This distribution highlights the strong demand for experienced talent in Serbia, Belgrade's evolving tech landscape.

Preferred employment type for Engineering roles in Serbia

In Serbia, the employment landscape for engineering roles reflects a strong preference for Full-time positions, comprising 95% of the job market. Contract roles represent a modest 4%, while Part-time positions account for 2%. This distribution indicates a clear trend towards stable, long-term employment in the tech sector.

Time to Hire Distribution for Artificial Intelligence in Serbia

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineers in Serbia reveals significant insights for hiring managers. Notably, a majority of hires, totaling 36 counts, occur within a 25-day timeframe, indicating a competitive job market in Belgrade. Following closely, 35 counts fall within the 30-day mark, suggesting that potential candidates in this field are in high demand. Additionally, hiring trends reflect a decline in vacancies as time progresses, with only 3 counts noted beyond a 90-day hiring period. This data is crucial for CTOs and Engineering Managers to strategize effectively in attracting top talent amid the evolving landscape of the Artificial Intelligence Machine Learning job market in Serbia.

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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 the current job market for Artificial Intelligence Machine Learning Engineers in Serbia, Belgrade emerges as the predominant hub, accounting for 82% of the job openings. Following Belgrade, Novi Sad represents 10% of the market, while the broader region of Serbia encompasses a total of 2%. This data underscores the capital's significance in attracting talent and opportunities within the technology sector, as highlighted in the accompanying chart.

Most sought after technologies in Belgrade for Machine Learning

Key technologies for Machine Learning Engineers

In the Artificial Intelligence Machine Learning job market in Serbia, particularly in Belgrade, Python emerges as the predominant technology, boasting a frequency of 6,500 mentions. Following closely, Machine Learning holds a significant position with 3,788 occurrences, indicating a robust focus on this core capability. Furthermore, SQL and Data Science are also extensively utilized, with frequencies of 2,543 and 1,439, respectively. Other notable technologies include R, Data Engineering, and Java, reflecting the diverse skill set sought by employers in this sector. The accompanying chart illustrates these trends, providing a visual representation of the technology landscape in the region.

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