Agency Partners
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In the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Slovakia Bratislava has shown notable fluctuations. The peak occurred in week 9 with 15 jobs posted, indicating a strong demand, while week 13 saw a decline with only 2 new postings. Conversely, the closure of jobs has been more significant, particularly in week 9, where 24 positions were closed, highlighting a competitive hiring landscape. Compared to other roles in Slovakia, the trends depict a higher volatility in the demand for Artificial Intelligence Machine Learning positions, signaling a need for effective recruitment strategies for CTOs in the region.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 12 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 9 |
|
Outlier | United States of America | Software Development | null | 8 |
|
IBM | United States of America | It Services And It Consulting | null | 6 |
|
EPAM Systems | United States | Information Technology & Services | 1993 | 4 |
|
Cast AI | United States | Information Technology & Services | 2019 | 4 |
|
|
Synpulse | Switzerland | Management Consulting | 1996 | 4 |
|
Siemens Healthineers | Germany | Hospitals And Health Care | null | 3 |
|
Swiss Re | Switzerland | Insurance | null | 3 |
|
Rounds | Israel | Technology, Information And Internet | 2020 | 3 |
The job market for Artificial Intelligence Machine Learning Engineers in Slovakia, particularly in Bratislava, presents a competitive landscape characterized by a notable disparity between job openings and the available talent pool. Currently, Slovakia has a certain number of job openings compared to its available talent, resulting in a specific jobs-to-talent pool ratio. This ratio suggests that while the demand is present, the supply of qualified candidates may not be sufficient to meet this demand, indicating a challenging recruitment environment. In comparison, other European nations such as Poland, Germany, and the Czech Republic show varied job openings and talent availability ratios, further complicating the hiring strategy for CTOs and engineering managers looking to fill roles in the region. Thus, hiring talent in Slovakia may prove more difficult relative to these other countries.
In the current job market for Artificial Intelligence Machine Learning Engineers in Slovakia Bratislava, the seniority distribution is heavily skewed towards Mid-Senior level positions, which account for 54% of the total job opportunities. Entry-level roles follow, comprising 25% of the market, while Associate positions represent 8%. This distribution highlights the growing demand for seasoned professionals in the field, presenting strategic insights for CTOs and hiring managers focused on optimizing their recruitment strategies in Slovakia's tech sector.
In the Slovak engineering job market, particularly for Artificial Intelligence and Machine Learning Engineers, full-time roles dominate the employment landscape, accounting for 93% of available positions. Contract roles represent 6% of the market, while part-time positions make up approximately 3%. This distribution highlights the strong preference for long-term commitments in the technology sector in Slovakia, particularly in Bratislava.
The time to hire for Artificial Intelligence Machine Learning Engineers in Slovakia reveals significant insights into the job market dynamics. Notably, the most frequent hiring intervals range from 30 to 40 days, with the majority of candidates being hired within 30 days (62 counts), emphasizing a competitive landscape in Bratislava. Meanwhile, a considerable number of positions remain open for 35 days, indicating an intense selection process (69 counts). Hiring managers should be aware that while the average time to fill positions hovers around 30 to 40 days, there are instances of extended hiring periods beyond 60 days. This data suggests a need for streamlined recruitment strategies to attract top talent in the fast-evolving technology sector, specifically for the Artificial Intelligence Machine Learning job market in Slovakia's capital.
The Artificial Intelligence Engineers job market in Luxembourg is characterized by a significant talent pool, with 18 new positions posted in week 5 peaking at 37 in week 14, reflecting a competitive landscape for attracting top talent.
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The Artificial Intelligence Machine Learning Engineer job market in Sweden Gothenburg is characterized by a talent pool of approximately 5,000 candidates competing for 1,000 job openings, resulting in a jobs-to-talent pool ratio of 5.
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The Artificial Intelligence Machine Learning Engineers job market in Czechia, specifically in Brno, shows a current total of 131 job openings, reflecting a dynamic landscape that presents both challenges and opportunities for hiring managers.
View ReportIn Slovakia, the distribution of job openings for Artificial Intelligence Engineers reveals that Bratislava significantly leads the market with 88% of the total opportunities. The city is followed by Košice, which accounts for 11% of the job market, while Nové Mesto nad Váhom represents just 5%. This data underscores Bratislava's pivotal role as the center for AI talent in Slovakia, as illustrated in the accompanying chart.
In the competitive landscape of the Artificial Intelligence Machine Learning job market in Slovakia, particularly in Bratislava, certain technologies are paramount in driving recruitment success. Python emerges as the dominant programming language, with a frequency of 16,874, making it essential for candidates seeking opportunities as Artificial Intelligence Machine Learning Engineers. Following closely are SQL and Machine Learning, with frequencies of 7,349 and 9,584, respectively, highlighting their importance in data manipulation and predictive modeling tasks. Other notable technologies include AWS, with a frequency of 1,815, and Data Science, at 3,391, illustrating the need for proficiency in cloud solutions and data science methodologies. The accompanying chart provides further insights into the frequency of these technologies, aiding hiring managers in identifying the skills most sought after in this dynamic field.
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