Machine Learning Developer Hiring Trends in Georgia

This report was last updated on Aug 16, 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

In Georgia's job market for Artificial Intelligence Machine Learning Engineers, the current talent pool includes X available job openings, indicating a notable yet challenging hiring landscape for hiring managers in the tech industry.
The demand for Machine Learning Engineers shows modest growth, with only 8 new job postings over the last 12 weeks and a concerning high number of closures, specifically 9 positions closed in one week.
Tbilisi stands out as the epicenter for Artificial Intelligence job opportunities, accounting for 66% of openings, followed by the next leading city, highlighting regional talent hotspots for recruitment.
The job market predominantly seeks Mid-Senior level talent, comprising 43% of positions, suggesting that hiring managers should focus on experienced candidates to meet their strategic needs in AI capabilities.
With a median time to hire of 33 days, recruitment strategies for CTOs and engineering managers should leverage this timeline to optimize their approach to attract and secure top talent in Georgia's emerging AI landscape.

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

In the competitive landscape of Georgia's job market for Artificial Intelligence Machine Learning Engineers, the recent weeks have shown fluctuating openings and closures. Over the 12-week period, only 8 new jobs were posted, with a peak of 4 positions in week 29, indicating a modest yet positive demand for this specialized role. However, the corresponding job closures were significantly higher, particularly in the recent weeks where as many as 9 positions were closed in week 10 alone. This sharp decline in available roles suggests that hiring managers in Georgia must adopt agile recruitment strategies, as the future demand for Machine Learning Engineers remains uncertain compared to other tech roles within the region and across Europe.

Who else is hiring for ai Engineers in Georgia:

Company name	Country	Industry	Founded	# Job openings
EPAM Systems	United States	Information Technology & Services	1993	6
Coherent Solutions Romania	null	null	null	2
Tabby	Saudi Arabia	Financial Services	2019	1
Canonical	United Kingdom	Information Technology & Services	2004	1
Lineate	null	null	null	1
Bank of Georgia	Georgia	Banking	2017	1
Gamingtec	United Kingdom	Gambling & Casinos	2013	1
Space International	Georgia	Financial Services	2018	1
Sheladia Associates, Inc.	null	null	null	1
IDT Corporation	United States	Telecommunications	1990	1

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Talent pool vs job openings for Artificial Intelligence Engineers in Georgia

How competitive it is to hire Artificial Intelligence Engineers in Georgia

The Artificial Intelligence and Machine Learning job market in Georgia shows a distinct recruitment landscape when compared to other European countries, with a notable ratio of available positions to the talent pool. Georgia currently has X job openings and a talent pool of Y, yielding a jobs-to-talent pool ratio of Z, suggesting a moderate level of difficulty in hiring qualified professionals. In contrast, countries like Germany, France, and the Netherlands exhibit a more competitive environment, with lower ratios implying a more challenging hiring process for Artificial Intelligence Machine Learning Engineers. Thus, employers in Georgia's tech sector may find it relatively less arduous to secure skilled candidates, especially as demand for Artificial Intelligence Machine Learning job market opportunities continues to evolve.

Seniority distribution of Machine Learning Engineer job openings in Georgia

Seniority Distribution of Machine Learning Engineering Jobs in Georgia

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Georgia reveals a predominance of Mid-Senior level positions, accounting for 43% of the market. Following this, Associate roles make up 13%, while Entry level positions represent 10%. This distribution highlights a focused demand for experienced professionals as companies seek to enhance their AI capabilities.

Preferred employment type for Engineering roles in Georgia

In the current job market for engineering roles in Georgia, the majority of positions are full-time, accounting for 97% of employment opportunities. Contract roles represent 4%, while part-time positions make up approximately 2%. This distribution highlights the strong preference for stability in employment among candidates in the Artificial Intelligence Machine Learning sector.

Time to Hire Distribution for Artificial Intelligence in Georgia

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence roles in Georgia indicates a varied recruitment landscape, with a notable concentration of hires occurring within 30 to 50 days. Specifically, 26 positions were filled within 30 days, while demand appears to taper off with 12 roles hired within 45 days. Additionally, hiring extends up to 105 days for select candidates. This data underscores the potential for CTOs and hiring managers to refine their recruitment strategies to align with these trending hiring timelines, accommodating the emerging demand for Artificial Intelligence Machine Learning Engineers in Georgia.

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Most popular cities in Georgia to hire Artificial Intelligence Engineers

Top 5 cities in Georgia to hire Artificial Intelligence Engineers

In Georgia, the job openings for Artificial Intelligence Engineers are predominantly concentrated in Tbilisi, which accounts for 66% of the total postings. The city of Georgia follows with 23% of the openings, while remote opportunities comprise 4% of the job market. Notably, Tbilisi stands out as the primary hub for Artificial Intelligence Machine Learning roles in the region, as illustrated in the accompanying chart.

Most sought after technologies in Georgia for Machine Learning

Key technologies for Machine Learning Engineers

In the burgeoning Artificial Intelligence Machine Learning job market in Georgia, certain technologies stand out due to their frequency of use by employers. Python leads the pack with 6,500 mentions, underscoring its pivotal role in Machine Learning development. Following closely, SQL and Data Science are significant, with frequencies of 2,543 and 1,439 respectively, highlighting their relevance in data management and analysis. Other notable technologies include Java and AWS, each important for real-world application development and cloud integration. For a comprehensive view of these trends, refer to the accompanying chart.

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