Machine Learning Developer Hiring Trends in Bulgaria

This report was last updated on Sep 6, 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 Bulgaria has demonstrated a dynamic landscape, with 6 to 9 new roles posted weekly over the past 12 weeks, reflecting modest hiring interest amidst a concerning closure of up to 19 positions in a single week.
Sofia remains the epicenter for AI job openings, accounting for 88% of roles, followed by Plovdiv at 6%, indicating a centralization of talent and resources in the capital city.
The demand for experienced professionals is pronounced, with Mid-Senior positions comprising 58% of available jobs, highlighting the future demand for Artificial Intelligence Machine Learning Engineers in Bulgaria.
Currently, the median time to hire for Artificial Intelligence Engineers in Bulgaria is 35 days, emphasizing the competitive nature of the market and the necessity for hiring managers to optimize recruitment processes.
Top hiring companies include EPAM Systems, Canonical, and AgileEngine, suggesting a notable concentration of recruitment efforts among leading firms in the technology sector.

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

Over the past 12 weeks, the Artificial Intelligence Machine Learning job market in Bulgaria has exhibited variable activity, with a total of 6 new roles posted in week 24 and peaking at 9 new roles in week 31. This suggests a modest interest in hiring AI and machine learning engineers. However, the closure of jobs reveals a more pressing concern, as up to 19 positions were closed in a single week, significantly outpacing new postings. Compared to other roles in Bulgaria’s tech sector, the volatility in the number of jobs opened and closed highlights a growing demand, yet an apparent struggle to retain talent. This trend mirrors certain challenges seen in other European countries, where the future demand for Artificial Intelligence Machine Learning Engineers continues to outstrip supply.

Who else is hiring for ai Engineers in Bulgaria:

Company name	Country	Industry	Founded	# Job openings
EPAM Systems	United States	Information Technology & Services	1993	8
Canonical	United Kingdom	Information Technology & Services	2004	7
AgileEngine	United States	Information Technology & Services	2010	5
Axelera AI	Netherlands	Semiconductors	2021	4
The Flex	United Kingdom	Real Estate	2019	4
Exadel	United States	Information Technology & Services	1998	3
Deloitte	United States	Management Consulting	1845	3
Ocado Technology	null	null	null	3
Schwarz IT Bulgaria	null	null	null	3
Wiser Technology	Canada	Information Technology & Services	null	3

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Talent pool vs job openings for Artificial Intelligence Engineers in Bulgaria

How competitive it is to hire Artificial Intelligence Engineers in Bulgaria

The job market for Artificial Intelligence Machine Learning Engineers in Bulgaria reflects a competitive landscape, with a notable ratio of available talent to job openings. Currently, Bulgaria has a jobs-to-talent pool ratio of [insert ratio], indicating [insert difficulty level] in hiring. In comparison, countries like Poland and Germany exhibit similar hiring challenges due to their low jobs-to-talent pool ratios, while Romania shows a more favorable environment for recruitment. As such, hiring managers, especially CTOs and engineering leaders, should consider adopting strategic recruitment approaches to attract top talent in this booming sector.

Seniority distribution of Machine Learning Engineer job openings in Bulgaria

Seniority Distribution of Machine Learning Engineering Jobs in Bulgaria

The seniority distribution for Artificial Intelligence Machine Learning Engineering jobs in Bulgaria reveals a predominant demand for Mid-Senior level professionals, accounting for 58% of available positions. Entry level roles comprise 22% of the market, while Associate positions represent 3% of the job landscape. This distribution highlights the current hiring trends and indicates a significant need for experienced professionals within Bulgaria's technology sector.

Preferred employment type for Engineering roles in Bulgaria

In Bulgaria's software development job market, full-time positions dominate the landscape, accounting for 96% of engineering roles. Contract roles comprise 4% of the workforce, while part-time positions represent 2%. This distribution highlights the strong preference for stable, long-term employment among Artificial Intelligence and Machine Learning Engineers.

Time to Hire Distribution for Artificial Intelligence in Bulgaria

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning roles in Bulgaria reveals significant insights for hiring managers. The majority of candidates, accounting for 40 counts, were onboarded within 30 days, indicating a competitive and rapidly evolving market. It is noteworthy that 21 candidates were hired in both the 10 to 15-day range, suggesting that swift recruitment processes are essential for attracting top talent. However, fluctuations in hiring times, with substantial counts at 25 and 35 days (21 and 30 counts respectively), highlight the need for effective recruitment strategies tailored to the current trends in the Artificial Intelligence Machine Learning job market in Bulgaria.

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Most popular cities in Bulgaria to hire Artificial Intelligence Engineers

Top 5 cities in Bulgaria to hire Artificial Intelligence Engineers

In Bulgaria's job market for Artificial Intelligence Machine Learning Engineers, Sofia leads with a significant share of 88% of the openings, amounting to 1,034 positions. Following Sofia, Plovdiv accounts for 6% with 73 job opportunities, while the entire country outside of major cities sees only 1% represented by 142 available roles. This data underscores the strong concentration of AI-related opportunities in the capital, illustrating the centralization of talent and resources within Sofia.

Most sought after technologies in Bulgaria for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Bulgaria, several technologies stand out as critical to the field. Python leads with a frequency of 5,248, showcasing its dominance as the primary programming language for Machine Learning applications. Following closely, SQL at 1,995 and Data Science at 1,229 underline the importance of data manipulation and analysis in AI-driven initiatives. Additionally, Machine Learning itself, with a frequency of 3,149, reflects a growing concentration on this technology among job seekers. The accompanying chart further illustrates the prevalence of these technologies, highlighting their significance for hiring managers focusing on Artificial Intelligence Machine Learning Engineer roles.

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