Agency Partners
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The job market for Artificial Intelligence and Machine Learning Engineers in Bulgaria Sofia has shown fluctuating trends over the past 12 weeks. Notably, while job openings peaked at 19 in week 8, a significant decline in new postings was observed in weeks 11 and 12. Conversely, job closures spiked markedly in week 9, with 39 positions closed, indicating a potential mismatch between supply and demand in the market. Compared to other roles in Bulgaria Sofia, the volatility in AI and ML job postings suggests that hiring managers may need tailored recruitment strategies to attract top talent amidst emerging trends in Europe's technology landscape.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 24 |
|
EPAM Systems | United States | Information Technology & Services | 1993 | 13 |
|
Progress | United States | Information Technology & Services | 1981 | 6 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 5 |
|
|
myPOS | null | null | null | 5 |
|
|
Progress Sitefinity | null | null | null | 4 |
|
Outlier | United States | Information Technology & Services | 2023 | 4 |
|
|
Coca-Cola Europacific Partners | United Kingdom | Mechanical Or Industrial Engineering | 2016 | 4 |
|
NielsenIQ | United States | Information Services | 1923 | 4 |
|
Redis | United States | Information Technology & Services | 2011 | 4 |
The job market for Artificial Intelligence Machine Learning Engineers in Bulgaria, specifically in Sofia, reveals a competitive environment characterized by a significant contrast between job openings and the available talent pool. Currently, Bulgaria shows a jobs-to-talent pool ratio of 2.5, indicating a relatively challenging hiring landscape compared to neighboring countries like Romania (1.8), Poland (1.6), and Hungary (2.0). As demand for Artificial Intelligence Machine Learning roles continues to surge, particularly in the burgeoning tech sector of Sofia, hiring managers must adapt their recruitment strategies to attract the limited supply of qualified candidates. The future demand for Artificial Intelligence Machine Learning Engineers in Bulgaria suggests an increasing necessity for innovative recruitment practices to secure top talent amidst a backdrop of growing competition across Europe.
In the Bulgarian capital of Sofia, the seniority distribution for Artificial Intelligence Machine Learning Engineering jobs reveals a significant demand for Mid-Senior level professionals, comprising 58% of openings. Entry level positions account for 23%, while Associate roles represent 6%. This distribution highlights a robust market for experienced candidates, presenting both challenges and opportunities for hiring managers navigating the recruitment landscape.
In the Bulgarian software development landscape, the employment type distribution reveals that a significant 96% of engineering roles are full-time positions, indicating a strong preference for stable employment among professionals. Contract roles account for 4%, while part-time opportunities represent merely 1%. This distribution underscores the demand for dedicated talent in the Artificial Intelligence Machine Learning job market in Bulgaria, particularly in Sofia.
The time to hire distribution for Artificial Intelligence Machine Learning Engineer roles in Bulgaria indicates a robust competition in the market. Notably, the majority of hires occur within the 30 to 35-day range, with 122 and 95 counts respectively, representing significant demand for talent. Furthermore, a substantial number of positions are filled between 15 and 30 days (59 and 54 counts), suggesting that proactive recruitment strategies are essential. Given this landscape, hiring managers, including CTOs and Engineering Managers, should anticipate longer hiring cycles and adjust their recruitment timelines accordingly. Understanding these hiring trends will be crucial for positioning their organizations within the competitive tech sector, particularly in Sofia.
In Bulgaria, the majority of Artificial Intelligence Machine Learning Engineer job openings are concentrated in Sofia, which accounts for a substantial 86% of the total job listings. Following Sofia, Plovdiv holds a minor share at 6%, while the remote job options represent 3% of the market. This significant concentration in the capital highlights Sofia's pivotal role in the Artificial Intelligence Machine Learning job market in Bulgaria, as illustrated in the accompanying chart.
The landscape of the Artificial Intelligence Machine Learning job market in Bulgaria, specifically in Sofia, reveals a clear preference for a set of core technologies. Python emerges as the leading language with a frequency of 14,106, underscoring its critical role in AI and ML development. Following closely is Machine Learning itself, with a frequency of 8,036, indicating high demand for professionals skilled in this area. Other significant technologies include SQL at 6,070, facilitating robust data management, and Java at 1,577, which remains popular for building scalable applications. These findings are illustrated in the accompanying chart, providing further insight into technology usage trends.
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