Machine Learning Developer Hiring Trends in Russia

This report was last updated on Jul 26, 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 analysis of the Artificial Intelligence Machine Learning job market in Russia reveals that there has been significant activity in recruitment over the past 12 weeks, with a total of 10 positions closed, indicating a cautious but steady demand for these roles.
In terms of technical competencies, Python remains the predominant programming language with 8,429 mentions, followed by SQL and Machine Learning at 3,382 and 4,786 mentions respectively, highlighting essential skills for candidates in this sector.
Moscow dominates as the primary hub for Artificial Intelligence Engineer job openings, accounting for 54% of available opportunities, followed by St. Petersburg at 10%, underscoring the geographical concentration of talent.
The seniority distribution shows a clear preference for mid-senior level positions, which constitute 52% of job openings, suggesting a robust demand for experienced professionals while also offering entry-level opportunities.
Hiring managers should note that the median time to secure hires for Artificial Intelligence Machine Learning Engineers in Russia is approximately 36 days, reflecting the competitive landscape for talent in this sector.

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

Over the past 12 weeks, the recruitment landscape for Artificial Intelligence and Machine Learning Engineers in Russia reveals significant dynamics. Notably, the weekly job openings for these roles have fluctuated, while closed positions accumulated to a total of 10, indicating a cautious but steady demand within the sector. This trend contrasts with hiring tendencies for other tech roles in Russia, where job closures often surpass openings. As a result, CTOs and hiring managers should be aware of the competitive environment when considering recruitment strategies for Artificial Intelligence Machine Learning Engineers, as these positions are not only critical for driving innovation but are also reflecting emerging hiring trends across Europe.

Who else is hiring for ai Engineers in Russia:

Company name	Country	Industry	Founded	# Job openings
Club Med	France	Hospitality	1950	7
GlobalFoundries	United States	Semiconductors	2009	3
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

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Talent pool vs job openings for Artificial Intelligence Engineers in Russia

How competitive it is to hire Artificial Intelligence Engineers in Russia

The recruitment landscape for Artificial Intelligence Machine Learning Engineers indicates a competitive environment across Europe, with critical variations among countries. In Russia, for every job opening, the talent pool ratio is notably lower than in Germany, which boasts a higher availability of qualified candidates. For instance, while Russia faces challenges in hiring due to a limited talent pool relative to job demands, countries like France and the Netherlands exhibit more favorable conditions with a better ratio of available talent to job openings. This disparity suggests that CTOs and hiring managers in Russia may encounter difficulties in securing top-tier Artificial Intelligence Machine Learning Developers. As they develop recruitment strategies, understanding these trends becomes essential to navigate the complexities of the region's tech sector.

Seniority distribution of Machine Learning Engineer job openings in Russia

Seniority Distribution of Machine Learning Engineering Jobs in Russia

In the Russian market for Artificial Intelligence Machine Learning Engineering roles, the seniority distribution reveals a clear trend. Mid-Senior level positions account for 52% of job openings, followed by Entry level roles at 20%, and Associate positions representing 14%. This distribution indicates a robust demand for experienced professionals while providing pathways for emerging talent in the field.

Preferred employment type for Engineering roles in Russia

In the Russian job market for engineering roles, the predominant employment type is Full-time, comprising 87% of available positions. Contract roles follow, accounting for 14% of the market, while Part-time positions represent 3%. This distribution highlights a strong preference for full-time employment among candidates, which is essential for hiring managers to consider when formulating recruitment strategies for Artificial Intelligence Machine Learning Engineers.

Time to Hire Distribution for Artificial Intelligence in Russia

How long does it take to hire Artificial Intelligence Engineers

The analysis of the time to hire distribution for Artificial Intelligence and Machine Learning jobs in Russia reveals that the majority of candidates are hired within 30 days, with a notable peak at 30 days, accounting for 16 placements. Additionally, 20 to 35 days is another common timeframe, comprising a combined total of 12 positions. Hiring managers targeting Artificial Intelligence Machine Learning Engineers should anticipate a significant number of hires occurring between 20 to 35 days, indicating the competitive nature of this job market. As the demand for Artificial Intelligence and Machine Learning professionals continues to rise, understanding these timelines can inform effective recruitment strategies for CTOs and other tech leaders. The data emphasizes the importance of prompt hiring processes to secure top talent in the evolving landscape of technology in Russia.

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Most popular cities in Russia to hire Artificial Intelligence Engineers

Top 5 cities in Russia to hire Artificial Intelligence Engineers

In the analysis of the job market for Artificial Intelligence Machine Learning Engineers in Russia, Moscow stands out as the dominant hub, accounting for 54% of the total job openings. Following Moscow, St Petersburg represents 10% of the opportunities, while the cities of Bangkok and Sydney hold 12% and 9% respectively. This data underscores Moscow's significant role in the recruitment landscape for Machine Learning professionals, a factor that hiring managers should consider when strategizing their recruitment efforts.

Most sought after technologies in Russia for Machine Learning

Key technologies for Machine Learning Engineers

In the rapidly evolving Artificial Intelligence Machine Learning job market in Russia, several technologies stand out as essential for prospective candidates. Python leads the pack with 8,429 mentions, strongly positioning it as the language of choice for developers in this sector. Following closely are SQL and Machine Learning, with 3,382 and 4,786 instances respectively, highlighting their critical role in data management and algorithm development. Other notable technologies include AI and Data Science, reflecting the increasing integration of AI solutions across applications. This data is visually represented in the accompanying chart, providing further insights into the technology landscape prevalent among hiring trends.

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