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.
Over the past 12 weeks, the demand for Artificial Intelligence Engineer positions in Estonia has shown variability, with notable peaks such as 7 new jobs posted in week 22. However, this surge contrasts sharply with the average number of closed positions, which reached a high of 33 in week 18, indicating a significant churn in the market. Comparison with similar roles across Europe reveals that while Estonia experiences intermittent spikes in job openings, other European nations maintain a more stable growth trajectory for Artificial Intelligence job market trends.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 13 |
|
Bolt | Estonia | Information Technology & Services | 2013 | 5 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 4 |
|
Agoda | Singapore | Information Technology & Services | 2005 | 3 |
|
Wise | United Kingdom | Financial Services | 2011 | 2 |
|
Gepard Media | Estonia | Marketing & Advertising | 2019 | 2 |
|
Trimble Inc. | United States | Information Technology & Services | 1978 | 1 |
|
Zendesk | United States | Information Technology & Services | 2007 | 1 |
|
Pipedrive | United States | Information Technology & Services | 2010 | 1 |
|
Plain | United Kingdom | Information Technology & Services | 2020 | 1 |
The recruitment landscape for Artificial Intelligence Engineers in Estonia is characterized by a challenging ratio of job openings to the available talent pool. With a current count of job openings significantly outweighing the size of the talent pool, hiring managers may find it increasingly difficult to secure qualified candidates. In comparison, countries such as Germany and the Netherlands have a more favorable ratio, indicating a less competitive hiring environment, while France presents a similar challenge to that of Estonia. This trend highlights the pressing need for targeted recruitment strategies for CTOs and engineering managers who are looking to attract top talent in Estonia's tech sector.
The seniority distribution for Artificial Intelligence Engineering jobs in Estonia reveals a predominance of Mid-Senior level positions, comprising approximately 56% of available roles. Entry level positions account for around 35%, while Internship roles make up about 7%. This distribution highlights the demand for experienced professionals in the artificial intelligence job market in Estonia.
In Estonia's engineering job market, the predominant employment type is Full-time, accounting for 93% of the available positions. Following this, Contract roles make up 7%, while Part-time positions comprise 4%. This distribution highlights the strong preference for stable, committed employment among employers looking to fill Artificial Intelligence Engineer roles.
The time to hire distribution for Artificial Intelligence Engineers in Estonia reveals critical insights for hiring managers in the tech sector. Approximately 48 candidates are hired within 30 days, indicating a swift recruitment process for roles in high demand. However, longer hiring times are evident, with 27 roles taking 25 days and another 27 reaching 35 days. This suggests a competitive landscape where swift responses can secure top talent. Understanding these timing patterns is essential for CTOs and recruiters aiming to implement effective recruitment strategies within Estonia's evolving job market.
In Estonia, the distribution of Artificial Intelligence Engineer job openings reveals a significant concentration in the capital, Tallinn, which accounts for 84% of the total opportunities. Tartu follows with a modest 12%, while the broader category representing Estonia itself includes 5% of the listings. This data highlights the predominance of Tallinn as a central hub for AI talent, as illustrated in the accompanying chart.
In analyzing the landscape of the Artificial Intelligence job market in Estonia, several key technologies emerge as fundamental to the role of AI Engineers. Notably, Python stands out as the most widely utilized programming language, appearing with a frequency of 9008, reflecting its dominance in AI development. Following closely, machine learning technologies also demonstrate significant presence, with a total frequency of 5056. Furthermore, SQL, a critical tool for data management, ranks highly with a frequency of 3637, indicating its essential role in handling large datasets. The combined impact of Data Science, featuring frequencies of 1855 and 1301, underscores the necessity for AI Engineers to possess robust analytical skills. These technologies are depicted in the accompanying chart, illustrating their relevance in current hiring trends for Artificial Intelligence Developers in Estonia.
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