Machine Learning Developer Hiring Trends in Serbia

This report was last updated on Sep 7, 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 job market for Artificial Intelligence Machine Learning Engineers in Serbia has shown a high closure rate, with 45 roles closed compared to 38 new job postings over the last 12 weeks, indicating a challenging hiring landscape.
Of the available roles, there is a clear demand for Mid-Senior level talent, which constitutes 67% of the positions, defined by a strong need for experienced professionals in the Artificial Intelligence Machine Learning sector.
Belgrade emerges as the primary city for Artificial Intelligence Engineer opportunities, with 77% of job listings concentrated in this urban area, creating a localized hiring strategy for recruitment efforts.
With a total of 1,200 job openings against an available talent pool of 1,800, Serbia’s hiring environment shows moderate competitiveness, with a ratio of 1.5, suggesting recruitment strategies must be finely tuned to attract talent effectively.
The median time to hire for Artificial Intelligence Machine Learning Engineers is 34 days, with peak efficacy in targeting the predominant hiring timeline of 25 to 30 days, crucial for CTOs and hiring managers seeking to optimize their recruitment processes.

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Serbia has exhibited fluctuating activity. While there were a total of 38 new job postings, the job closure rate has been significantly high, with 45 roles being closed in the same timeframe. This suggests a challenging landscape for hiring in this sector, as the demand appears to be outpaced by closures. For comparison, the hiring trends in Serbia reflect a more volatile environment than many other European countries, where job postings for similar roles tend to show more stability. These insights are critical for CTOs and Engineering Managers aiming to develop effective recruitment strategies in Serbia'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	8
Tenstorrent	Canada	Computer Hardware	2016	6
Axelera AI	Netherlands	Semiconductors	2021	4
AMD	United States	Semiconductors	1969	3
Incode	United States	Information Technology & Services	2015	3
Wonder Dynamics	United States	Entertainment	2017	3
Acronis	Switzerland	Information Technology & Services	2003	2
Constructor Tech	Switzerland	E-learning	2019	2
symphony.is	United States	Information Technology & Services	2007	2
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 landscape for Artificial Intelligence Machine Learning Engineers in Europe reveals a diverse and competitive job market. In Serbia, there are currently 1,200 job openings contrasted with an available talent pool of 1,800, yielding a ratio of 1.5, suggesting a moderately favorable hiring environment for employers. Comparatively, countries like Germany show 5,000 openings with a talent pool of 10,000, resulting in a ratio of 2, indicating a slightly easier hiring process. Meanwhile, in Poland, with 3,000 job openings against a talent pool of 4,500, the ratio stands at 1.5, similar to Serbia. Ultimately, while the demand for Artificial Intelligence Machine Learning Engineers is robust in Serbia, the competition from countries with higher talent pool ratios may complicate recruitment strategies for CTOs and hiring managers.

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 clear market trend. Mid-Senior level positions account for 67% of the roles, indicating a strong demand for experienced professionals. Entry level positions follow with 22%, while Associate roles make up 14%. This distribution suggests a robust growth potential for recruitment strategies targeting Mid-Senior level talent in Serbia's developing tech sector.

Preferred employment type for Engineering roles in Serbia

In analyzing the employment type distribution of engineering roles within Serbia, it is evident that the full-time employment sector leads significantly at 95%. This is followed by contract positions, which comprise 4%, while internships account for 1%. These statistics underscore the strong preference for stable, full-time roles in the burgeoning Artificial Intelligence Machine Learning job market in Serbia.

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 Machine Learning Engineers in Serbia shows a diverse distribution, reflecting varied market conditions. Notably, the predominant hiring period spans 25 to 30 days, accounting for 58% of the total hires, indicating that recruitment strategies targeting this timeframe may be the most effective for CTOs and hiring managers. Furthermore, the demand decreases significantly for roles requiring a hiring period exceeding 45 days, suggesting a competitive environment for attracting top talent. This analysis underscores the importance of adopting efficient recruitment strategies to secure skilled professionals in Serbia's evolving tech sector.

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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 distribution of job openings for Artificial Intelligence Engineers reveals a clear concentration in key urban areas. Belgrade stands out with 77% of the total job listings, significantly surpassing other cities. Novi Sad accounts for 9% of the openings, while the remaining 14% is spread across the rest of the country, including 5% for remote opportunities. This data is visually represented in the accompanying chart.

Most sought after technologies in Serbia for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Serbia, several technologies stand out based on their frequency of usage. Python leads the way with a remarkable frequency of 5,248 occurrences, underscoring its dominance in AI and Machine Learning applications. Closely following are SQL and Machine Learning itself, with frequencies of 1,995 and 3,149 respectively. Other notable mentions include R at 716, Deep Learning at 554, and Java at 921. This data, illustrated in the accompanying chart, highlights the essential tools industry professionals utilize and can guide hiring managers in aligning their recruitment strategies with current technological trends.

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