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 recruitment landscape for Artificial Intelligence Machine Learning Engineers in Turkey Ankara has shown a notable trend over the past 12 weeks, with a peak of two new job postings in week 21. In contrast, the job closure rate displayed considerable fluctuation, culminating in a high of eight closed positions in week 12. This dynamic suggests an imbalance in the job market, with more roles being closed than opened in several weeks, which may indicate challenges in retaining talent. Compared to other European countries, the hiring trends for these specialists in Turkey Ankara reflect both opportunities and obstacles, necessitating strategic recruitment approaches for CTOs and engineering managers navigating this competitive landscape.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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Canonical | United Kingdom | Information Technology & Services | 2004 | 17 |
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Crs Soft | Turkey | Information Technology & Services | 2010 | 5 |
|
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Trilogy | United States | Information Technology & Services | 1989 | 5 |
|
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ING Hubs Türkiye | null | null | null | 3 |
|
TalenTown İnsan Kaynakları - İşe Alım Ajansı | Turkey | Human Resources | 2016 | 2 |
|
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Jotform | United States | Information Technology & Services | 2006 | 2 |
|
OBSS | Turkey | Information Technology & Services | 2005 | 2 |
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Orion Innovation | United States | Information Technology & Services | 1993 | 2 |
|
Outlier | United States | Information Technology & Services | 2023 | 2 |
|
Oracle | United States | Information Technology & Services | 1977 | 2 |
The Artificial Intelligence Machine Learning Engineers job market trends in Turkey, particularly in Ankara, reveal a challenging hiring landscape. With job openings in Turkey significantly outnumbered by the available talent pool, the jobs to talent pool ratio indicates a tighter market compared to other European countries. For example, Germany, France, and the United Kingdom also showcase a competitive environment, but Turkey's unique ratio highlights a more pronounced scarcity of skilled professionals. This disparity suggests that hiring managers such as CTOs and Engineering Managers in Ankara may face difficulties in sourcing qualified candidates, emphasizing the need for strategic recruitment initiatives tailored to the local tech sector.
In the Artificial Intelligence Machine Learning job market in Turkey, specifically in Ankara, the seniority distribution reveals a predominance of Associate-level positions, accounting for 42% of available roles. Entry-level jobs represent 32%, while Mid-Senior level positions comprise 31%. This data highlights the focus on developing talent in the region, providing hiring managers and CTOs with insights into the current landscape and future recruitment strategies.
In Turkey, the employment type distribution for engineering roles reveals a strong preference for Full-time positions, which comprise 97% of the job market. Contract roles account for 3% of the total, while Internship and Part-time opportunities represent a mere 1% each. This data underscores the dominance of Full-time employment in the Turkish tech sector, particularly for Artificial Intelligence Machine Learning Engineers in Ankara.
The distribution of time to hire for Artificial Intelligence Machine Learning Engineer positions in Turkey reveals significant insights for hiring managers. Notably, the majority of candidates (194) are hired within a timeframe of 30 days, indicating a competitive hiring landscape. Moreover, 132 candidates secured positions within 35 days, suggesting that timely recruitment strategies are essential for attracting top talent. However, there remains a small pool (only 1) of candidates who take over 105 days to hire, highlighting that long hiring processes may deter potential applicants. As demand grows for specialized roles in cities like Ankara, streamlining recruitment practices will be crucial for CTOs and tech leads to capitalize on emerging talent in this sector.
In the emerging landscape of the Artificial Intelligence Machine Learning Engineers job market in Turkey, Istanbul dominates with 63% of the total job openings. Ankara, as the capital city, holds a significant position with 14% of the openings, emphasizing its role as a vital tech hub. Kocaeli follows with 4%, highlighting the concentration of opportunities for professionals in this sector. Refer to the accompanying chart for a visual representation of this distribution.
In the dynamic job market for Artificial Intelligence and Machine Learning Engineers, several key technologies have emerged as predominant within Turkey's capital, Ankara. Notably, Python tops the list with a frequency of 12,134, highlighting its significance in machine learning development. Other critical technologies include SQL, utilized in 5,097 instances, and the robust Machine Learning frameworks, appearing 6,954 times. Additionally, Java and AWS are crucial, with frequencies of 1,446 and 1,325, respectively. As indicated in the accompanying chart, these technologies form the backbone of most roles within the sector, emphasizing the importance of proficiency in these areas for prospective candidates.
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