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Machine Learning Developer Hiring Trends in Sofia, Bulgaria

This report was last updated on Aug 9, 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 in Bulgaria Sofia has experienced fluctuations, with a total of 7 new roles posted in week 23 and a closure rate peaking at 13 jobs in week 31, indicating a competitive hiring landscape.
  • Currently, Sofia dominates the Artificial Intelligence job market, accounting for approximately 88% of the available positions, making it a central hub for talent acquisition strategies in the tech sector.
  • The majority of job openings for Artificial Intelligence Machine Learning Engineers in Bulgaria are mid-senior level positions, comprising 67% of the total roles, reflecting a strong demand for experienced professionals.
  • The preferred employment type for engineering roles in Bulgaria indicates a significant inclination towards full-time positions, which make up approximately 96% of the market, underscoring the need for hiring managers to offer stable employment options.
  • The median time to hire for Artificial Intelligence Engineers in Bulgaria stands at 33 days, suggesting slower recruitment processes, which necessitate the refinement of hiring strategies to attract top talent effectively.
Number of roles opened and closed for Machine Learning Engineers in Sofia in the last 3 months

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

In the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Bulgaria Sofia has exhibited fluctuating trends. Notably, the weeks showed a peak of 7 new jobs posted in week 23, followed by a significant drop to just 1 in week 24. In contrast, the closure rate for these roles has been substantially higher, with a peak of 13 jobs closed in week 31. This discrepancy between open and closed positions highlights a competitive landscape for hiring managers looking to attract talent in Bulgaria Sofia's technology sector. Compared to other European countries, the hiring dynamics suggest that recruitment strategies for CTOs and Engineering Managers must adapt to optimize talent acquisition and retention in the thriving field of Artificial Intelligence.

Who else is hiring for ai Engineers in Bulgaria:

Company name Country Industry Founded # Job openings
Canonical logo Canonical United Kingdom Information Technology & Services 2004 7
EPAM Systems logo EPAM Systems United States Information Technology & Services 1993 6
Progress logo Progress United States Information Technology & Services 1981 6
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 5
Exadel logo Exadel United States Information Technology & Services 1998 4
UKG logo UKG United States Information Technology & Services 2020 3
SoftServe logo SoftServe United States Information Technology & Services 1993 3
Ocado Technology logo Ocado Technology null null null 3
Pwrteams logo Pwrteams Estonia Information Technology & Services 2007 2
Workato logo Workato United States Information Technology & Services 2013 2

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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 talent market for Artificial Intelligence Machine Learning Engineers in Bulgaria, particularly in Sofia, presents a compelling case for hiring managers. With numerous job openings against a comparatively modest talent pool, the jobs-to-talent ratio reveals increasing competition for skilled professionals. For instance, while Bulgaria has x job openings, the surrounding countries such as Romania, Poland, and Hungary showcase a larger talent pool relative to their job openings. This suggests that hiring talent in Bulgaria may prove to be more challenging compared to these neighboring countries, emphasizing the need for strategic recruitment approaches in Bulgaria Sofia's tech sector.

Seniority distribution of Machine Learning Engineer job openings in Sofia

Seniority Distribution of Machine Learning Engineering Jobs in Sofia

The seniority distribution for Artificial Intelligence Machine Learning Engineer roles in Bulgaria Sofia shows that the Mid-Senior level accounts for 67% of available positions, followed by Entry level at 24%, and Associate roles making up 6%. This distribution indicates a robust demand for experienced professionals, particularly among hiring managers seeking to fill critical engineering roles in Bulgaria's tech sector.

Chart about preferred employment type for Engineering roles in Bulgaria

Preferred employment type for Engineering roles in Bulgaria

In Bulgaria, the employment type distribution for engineering roles showcases a strong preference for full-time positions, constituting approximately 96% of the job market with 13,533 roles. Contract roles represent 4% with 534 listings, while part-time opportunities account for 3% of the market, totaling 357 positions. This data indicates a robust inclination towards stable employment types within the technology sector, crucial for hiring managers considering recruitment strategies for Artificial Intelligence Machine Learning Engineers in Bulgaria Sofia.

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 roles in Bulgaria reveals significant insights for hiring managers and CTOs navigating the competitive landscape of the Sofia job market. With a predominant count of 68 positions taking 30 days to fill, it is evident that a considerable number of companies are experiencing slower recruitment processes. Additionally, 36 candidates are hired within 15 days, indicating potential for faster placements in this sector. However, as hiring extends beyond 30 days, particularly with 17 roles taking 40 days or more, there arises a trend that may necessitate refined recruitment strategies. As senior Artificial Intelligence and Machine Learning positions continue to be sought after, understanding these hiring trends is critical for effectively attracting and securing top talent in Bulgaria's burgeoning tech environment.

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Most popular cities in Bulgaria to hire Artificial Intelligence Engineers

Top 5 cities in Bulgaria to hire Artificial Intelligence Engineers

The job market for Artificial Intelligence Engineers in Bulgaria is predominantly concentrated in Sofia, which accounts for approximately 88% of the total job openings within this sector. Plovdiv and Bulgaria's broader regions contribute 6% and 3% respectively, highlighting the significant role Sofia plays as a central hub in the Artificial Intelligence Machine Learning job market in Bulgaria. This data emphasizes the importance of considering capital-centric recruitment strategies for organizations seeking to hire in this domain, as illustrated in the accompanying chart.

Most sought after technologies in Sofia for Machine Learning

Key technologies for Machine Learning Engineers

The Artificial Intelligence and Machine Learning job market in Bulgaria, particularly in Sofia, is characterized by a strong emphasis on programming languages and technologies that are pivotal in the development and deployment of AI solutions. Notably, Python leads the field with a frequency rate of 7,675, underscoring its dominance in algorithms and data manipulation. Following closely are SQL and Machine Learning itself, with frequencies of 3,076 and 4,406, respectively, which indicates their essential roles in data querying and advanced predictive modeling. Other significant technologies include C++ (839) and AWS (902), reflecting the importance of cloud services and performance optimization in AI applications. This data is visualized in the accompanying chart, offering a detailed overview of the technology landscape for AI and Machine Learning in Sofia.

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