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The Artificial Intelligence Machine Learning Engineer job market in Slovenia exhibits variability in job openings, with a total of 10 positions posted over the last five weeks. Notably, the week of 14 recorded the highest activity with 4 new job postings. Meanwhile, the trend in closed jobs remains concerning, with 6 to 8 roles closed weekly throughout the same period, highlighting a notable gap between job openings and closures. This trend indicates competitive challenges for hiring managers seeking to fill Artificial Intelligence Machine Learning developer positions, particularly when compared to more stable job markets in neighboring European countries, suggesting the need for adaptive recruitment strategies in Slovenia's tech sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 9 |
|
Outlier | United States | Information Technology & Services | 2023 | 4 |
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Axelera AI | Netherlands | Semiconductors | 2021 | 3 |
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Pipistrel Aircraft | Slovenia | Aviation & Aerospace | 1989 | 2 |
|
Zurich Insurance | Switzerland | Insurance | 1872 | 2 |
|
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Novartis in Slovenia | null | null | null | 2 |
|
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Infobip | United Kingdom | Information Technology & Services | 2006 | 1 |
|
Danfoss | Denmark | Machinery | 1933 | 1 |
|
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Coley S Home Remodeling | United States of America | Construction | null | 1 |
|
|
University of Ljubljana, Faculty of Computer and Information Science | null | null | null | 1 |
The talent market for Artificial Intelligence Machine Learning Engineers in Slovenia reflects a challenging landscape for hiring managers, especially when compared to other European nations such as Germany, France, and the United Kingdom. With a job opening count significantly outpacing the available talent pool, the current ratio indicates a higher difficulty in recruiting qualified candidates in Slovenia. For context, Germany exhibits a more favorable balance of job openings to talent, ultimately easing hiring efforts for tech leaders and CTOs. Conversely, in France and the UK, although job openings are abundant, the talent pool remains relatively competitive, suggesting that the recruitment strategies must be tailored to navigate this intricate market. As the demand for Artificial Intelligence Machine Learning Developers continues to grow, hiring managers should prepare for intensified competition and adapt their recruitment strategies accordingly.
The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Slovenia reveals that 53% of positions are at the Mid-Senior level, while 23% are Entry level and 10% are Associate roles. This indicates a strong demand for professionals with intermediate to advanced skills, highlighting the need for recruitment strategies that target experienced talent in the tech sector.
In Slovenia's engineering job market, full-time positions account for 89% of available roles, indicating a strong preference for long-term employment arrangements. Meanwhile, contract roles constitute 11% of the market, highlighting a viable, though smaller, segment for project-based work. Part-time opportunities and internships represent 3% and less than 1% respectively, suggesting limited flexibility in working arrangements for software development positions.
The time to hire for Artificial Intelligence Machine Learning Engineers in Slovenia displays varied trends, with the most significant counts at the 25 to 30-day range, indicating a preference for a streamlined recruitment process. Specifically, 20 positions were filled within 25 days, while 30 took around 30 days. A notable proportion of roles, accounting for 9 hires, was completed within a 15-day timeframe. As hiring managers in the tech sector consider their recruitment strategies, understanding these timeframes can enhance planning and align with market expectations. Such insights are vital for CTOs and engineering managers looking to optimize their hiring processes in the competitive landscape of Slovenia's technology sector.
In Slovenia, the capital city Ljubljana dominates the Artificial Intelligence Machine Learning Engineers job market, accounting for 82% of all relevant job openings. Following Ljubljana, the nationwide totals indicate that remote positions represent 9% of the opportunities, while the city of Eindhoven contributes another 6%. This data underscores the concentrated demand for Artificial Intelligence Machine Learning Developers in Ljubljana, making it a focal point for recruitment strategies in Slovenia's tech sector.
In Slovenia's job market for Artificial Intelligence Machine Learning Engineers, certain technologies are particularly prominent. The most frequently utilized technology is Python, with a remarkable frequency of 12,134 usages, indicating its critical role in the development of AI and machine learning applications. Following Python, Machine Learning itself is a substantial focus, with 6,954 occurrences, highlighting the importance of this area within job specifications. Additionally, SQL, with a frequency of 5,097, is also essential for data management tasks necessary for machine learning projects. Other noteworthy technologies include Data Analysis, appearing 3,251 times, and Data Science, at 2,497 occurrences. For further insights, please refer to the accompanying chart that delineates these technologies' usage frequencies.
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