Agency Partners
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.
The Artificial Intelligence Machine Learning job market in Russia has shown significant dynamics in recent weeks, especially in job closures. Over the last 12 weeks, a total of 9 positions for Artificial Intelligence Machine Learning Engineers have been closed, revealing a pattern that suggests a cautious approach towards filling these critical roles. While the specific number of new jobs posted was not provided, the closure trend indicates a potential mismatch between supply and demand within the Russian tech sector. Compared to other roles, this pattern may imply a heightened scrutiny regarding candidate qualifications for Artificial Intelligence Machine Learning developer opportunities. Furthermore, similar roles across Europe have been observing a steadier influx of new positions, emphasizing an urgent need for effective recruitment strategies among CTOs in Russia's tech sector to stay competitive.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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Club Med | France | Hospitality | 1950 | 7 |
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GlobalFoundries | United States | Semiconductors | 2009 | 3 |
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Радиоавионика | null | null | null | 2 |
|
Agoda | Singapore | Information Technology & Services | 2005 | 2 |
|
DDN | United States | Information Technology & Services | 1998 | 1 |
|
|
Дром | Russia | Information Technology & Services | null | 1 |
|
|
LADlabs | null | null | null | 1 |
The talent market for Artificial Intelligence Machine Learning Engineers in Europe indicates varied dynamics, particularly when analyzing the job openings and the respective talent pools across countries. In Russia, the ratio of available talent to job openings highlights a competitive environment, with significant challenges in recruitment. In comparison, countries like Germany and the United Kingdom exhibit a more favorable talent pool, facilitating quicker hiring processes. Meanwhile, Poland demonstrates a balanced market, which could offer strategic advantages for recruiters. Therefore, the recruitment strategies for CTOs in Russia's tech sector will need to be particularly adaptive to navigate the growing demand amidst a constrained talent pool.
In the Russian job market for Artificial Intelligence Machine Learning Engineers, the seniority distribution highlights a significant presence of Mid-Senior level professionals, accounting for 55% of the roles. Entry level positions represent 24% of the job offerings, while Associate roles comprise 14%. This indicates a robust demand for experienced talent, which may influence recruitment strategies for CTOs navigating the technology sector in Russia.
In the Russian engineering job market, the predominant employment type is Full-time positions, accounting for 87% of job opportunities. This is followed by Contract roles, which comprise 13% of the market, while Part-time positions constitute a mere 3%. These statistics highlight the strong preference for stable, long-term employment in the technology sector, particularly for roles such as Artificial Intelligence Machine Learning Engineers.
The time to hire for Artificial Intelligence Machine Learning Engineers in Russia reveals significant insights into current recruitment trends. The majority of candidates were hired within a 30 to 45-day period, with 16 positions filled in 30 days and a further 10 in 35 days. Notably, there were fewer hires in the long-term ranges, emphasizing the urgency for employers to streamline their recruitment processes. Specifically, only 2 hires occurred within the 45 to 50 days bracket, indicating a potential bottleneck in attracting top talent. Understanding these timeframes is crucial for CTOs and hiring managers to improve recruitment strategies in the competitive Russian tech sector.
The location distribution for Artificial Intelligence Engineers job openings in Russia highlights a significant concentration in major cities. Moscow leads with 54 job listings, representing 62% of the total, followed by St Petersburg with 10 openings, accounting for 12%. Together, these cities underscore the capital's dominance in the Artificial Intelligence Machine Learning job market in Russia, as illustrated in the accompanying chart.
In the rapidly evolving Artificial Intelligence and Machine Learning job market in Russia, various technologies are pivotal in shaping hiring trends. Python emerges as the most utilized technology, with a frequency of 9008, making it a critical skill for candidates. Following closely are SQL and Machine Learning, with frequencies of 3637 and 5056, respectively, underscoring their essential roles in data management and predictive analytics. Additionally, Python's popularity is complemented by technologies such as R (716) and Java (1272), which further enhance candidates' qualifications. The accompanying chart illustrates the frequency of these technologies, providing valuable insights for hiring managers seeking to attract top talent in this competitive landscape.
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