Machine Learning Developer Hiring Trends in Bucharest, Romania

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 Artificial Intelligence Machine Learning job market in Romania, particularly in Bucharest, reveals a competitive landscape with 1,000 job openings available and a talent pool size of 3,000 professionals, resulting in a jobs to talent pool ratio of 3.0.
In the last 12 weeks, significant volatility was observed, exemplified by a peak of 26 new job postings in week 32, contrasted by a maximum of 16 position closures in week 25, indicating the need for adaptive recruitment strategies for CTOs and Engineering Managers.
Bucharest dominates the market as the primary location for Artificial Intelligence Machine Learning opportunities, accounting for 77% of total job openings across Romania, followed by Cluj-Napoca at 12%.
The seniority distribution shows that 72% of positions are Mid-Senior level, highlighting the strong demand for experienced professionals, while only 20% are Entry level roles, presenting challenges for attracting top talent.
The average time to hire for Artificial Intelligence Engineers in Romania stands at 38 days, with a significant number of hires taking place within the 25 to 30 days range, underscoring the importance of timely recruitment strategies.

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

In the last 12 weeks, the Artificial Intelligence Machine Learning job market in Romania Bucharest has shown significant volatility. Notably, the number of new job postings peaked in week 32 with 26 openings, reflecting a growing interest from employers in this specialized skill set. However, during the same period, closures consistently outnumbered openings, with a maximum of 16 positions closed in week 25 and only 5 closed by week 34. This dynamic indicates a competitive landscape for Artificial Intelligence Machine Learning Engineers, as recruitment strategies for CTOs and Engineering Managers must adapt to this disparity. Compared to other tech roles in Romania, the hiring trends for Artificial Intelligence Machine Learning Developers exhibit a distinct pattern of rapid demand yet simultaneous job closures, highlighting the necessity for strategic hiring initiatives in the face of emerging trends.

Who else is hiring for ai Engineers in Romania:

Company name	Country	Industry	Founded	# Job openings
NTT DATA Europe & Latam	Spain	Information Technology & Services	1967	51
Canonical	United Kingdom	Information Technology & Services	2004	17
Microsoft	United States	Information Technology & Services	1975	16
IBM	United States	Information Technology & Services	1911	14
Undelucram.ro	Romania	Human Resources	2011	10
Hipo.ro	Romania	Professional Services	2006	8
GlobalLogic	United States	Information Technology & Services	2000	7
OpenText	Canada	Information Technology & Services	1991	7
CrowdStrike	United States	Computer & Network Security	2011	7
Luxoft	Switzerland	Information Technology & Services	2000	6

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Talent pool vs job openings for Artificial Intelligence Engineers in Romania

How competitive it is to hire Artificial Intelligence Engineers in Romania

The talent market for Artificial Intelligence Machine Learning Engineers in Romania reflects a competitive landscape influenced by the number of job openings and the size of the available talent pool. Current data indicates that with 1,000 job openings and a talent pool of 3,000, the jobs to talent pool ratio stands at 3.0, suggesting moderate hiring difficulty in Romania. In comparison, countries like Germany and France exhibit a lower ratio, with tighter talent markets, while Poland shows a similar talent availability trend. This indicates that while hiring talent in Romania is moderately challenging, it is relatively easier than in some Western European countries, presenting an attractive opportunity for recruitment strategies aimed at CTOs and engineering managers seeking to fill roles in the Artificial Intelligence and Machine Learning domains.

Seniority distribution of Machine Learning Engineer job openings in Bucharest

Seniority Distribution of Machine Learning Engineering Jobs in Bucharest

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Romania's Bucharest reveals significant trends. Notably, 72% of positions are categorized as Mid-Senior level, while Entry level roles account for 20% and Associate positions represent 5%. This distribution underscores the strong demand for experienced professionals in the AI and ML sectors, suggesting a challenging landscape for recruitment strategies focused on attracting top talent in Bucharest's competitive tech market.

Preferred employment type for Engineering roles in Romania

In Romania, the employment landscape for engineering roles is predominantly characterized by full-time positions, which account for 96% of the job market. Contract roles follow, comprising 4%, while part-time positions represent a mere 2%. This distribution highlights the significant preference for stable, long-term employment among professionals in the technology sector.

Time to Hire Distribution for Artificial Intelligence in Romania

How long does it take to hire Artificial Intelligence Engineers

In examining the time to hire distribution for Artificial Intelligence Machine Learning Engineer positions in Romania, a significant concentration is observed in the 25 to 30 days range, with 201 recorded hires taking around 30 days and 97 within 25 days. This suggests that hiring managers in Bucharest should anticipate an average recruitment cycle approaching one month. Notably, the demand begins to taper off as the time to hire exceeds 30 days, indicating potential challenges in attracting top talent in a competitive landscape. Therefore, strategic recruitment initiatives focused on this timeframe could enhance the chances of successfully filling positions. Understanding these trends is crucial for CTOs and hiring managers to refine their recruitment strategies and stay ahead in the evolving tech environment.

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Most popular cities in Romania to hire Artificial Intelligence Engineers

Top 5 cities in Romania to hire Artificial Intelligence Engineers

In the context of the Artificial Intelligence Machine Learning Engineers job market trends in Romania, Bucharest stands out prominently, accounting for 77% of the total job openings. Cluj-Napoca follows with 12%, while Timișoara and Iaşi represent 6% and 5% respectively. This data underscores Bucharest's dominance as the prime location for Artificial Intelligence Machine Learning job opportunities within the country, as illustrated in the accompanying chart.

Most sought after technologies in Bucharest for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence Machine Learning job market in Romania, particularly in Bucharest, several technologies stand out due to their frequency of usage in job descriptions. Python leads the pack with a remarkable frequency of 5,248 mentions, highlighting its prominence as a foundational tool for AI and ML development. Following closely is Machine Learning itself, with 3,149 occurrences, underscoring the importance of this domain in attracting talent. Other notable technologies include SQL, which appears 1,995 times, and Data Science, with 1,229 mentions, indicating they are integral to workflows in this sector. Additionally, the relevance of tools like AWS and C++, with frequencies of 704 and 609 respectively, cannot be overlooked. The accompanying chart provides a visual representation of these data points, offering further insights into trends that hiring managers should consider when recruiting in this competitive field.

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