Agency Partners
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Over the past 12 weeks, the Artificial Intelligence Engineer job market in Netherlands Rotterdam has exhibited fluctuating activity. The number of new job postings reached its peak in week 8 with 11 openings, while the majority of weeks saw significantly lower counts, indicating a potential volatility in demand. Notably, the number of closed positions surged to 17 in week 9, highlighting a rapid turnover that hints at both a competitive hiring landscape and the challenges of filling these roles. Compared to general job trends, the demand for Artificial Intelligence Developers in Rotterdam appears to exhibit more pronounced variances, establishing a need for tailored recruitment strategies for CTOs and hiring managers focused on this specialized technology sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Axelera AI | Netherlands | Semiconductors | 2021 | 16 |
|
TNO | Netherlands | Research | 1932 | 13 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 6 |
|
Sogeti | France | Information Technology & Services | 1967 | 5 |
|
ThePhoneLab | Netherlands | Telecommunications | 2015 | 5 |
|
Harnham | United Kingdom | Staffing & Recruiting | 2006 | 4 |
|
Booking.com | Netherlands | Information Technology & Services | 1996 | 4 |
|
Qualcomm | United States | Telecommunications | 1985 | 4 |
|
|
ML6 | Your partner in AI | Belgium | Information Technology & Services | 2013 | 4 |
|
Amazon | United States | Information Technology & Services | 1994 | 4 |
The job market for Artificial Intelligence Engineers in the Netherlands, particularly in Rotterdam, reflects a competitive landscape that parallels major European countries such as Germany, France, and the UK. With the available talent pool closely matched against the number of job openings, the hiring ratio suggests an increased difficulty in sourcing qualified candidates. For instance, as positions rise, the gap between job openings and the talent pool in the Netherlands indicates that recruitment strategies for CTOs must adapt to the elevating demands of the tech sector. Meanwhile, countries like Germany display a slightly more favorable job-to-talent ratio, hinting at a potentially easier hiring environment for tech leads. As such, it is paramount for hiring managers in the Netherlands to explore innovative recruitment strategies to attract Senior Artificial Intelligence Developers amidst emerging trends in the hiring landscape.
In the Netherlands' Rotterdam region, the seniority distribution for Artificial Intelligence Engineering jobs reveals a notable concentration at the mid-senior level, accounting for 48% of positions. Entry-level roles make up 36% of the market, while associate-level positions represent 12%. This distribution indicates a strong demand for experienced professionals, emphasizing the need for effective recruitment strategies tailored to attract mid-senior talent.
In the Netherlands, the employment landscape for engineering roles is predominantly full-time, representing 93% of the job market, followed by contract positions at 6%, and part-time roles at 1%. This data highlights the strong preference for stable, long-term employment in the technology sector, particularly for positions related to Artificial Intelligence engineering. Understanding these employment type distributions is crucial for hiring managers and CTOs looking to strategize their recruitment efforts effectively.
The time to hire for Artificial Intelligence Engineers in the Netherlands exhibits a significant variance, reflecting current job market dynamics. Notably, the majority of hires occur within the 25 to 30 days range, accounting for 241 and 416 counts respectively. A substantial portion, 135 placements, are completed in 15 days, indicating the competitive nature of the sector. Conversely, hiring timelines stretching beyond 40 days drop sharply, highlighting the urgency in recruitment strategies for CTOs in this landscape. As such, understanding this time to hire distribution is crucial for hiring managers seeking to adapt their approach to attract top Artificial Intelligence talent in Netherlands' tech hubs like Rotterdam.
In the Netherlands, the distribution of Artificial Intelligence Engineer job openings highlights Amsterdam as the leading city, accounting for 38% of the total positions. Following Amsterdam, Utrecht comprises 12% of the market, while Rotterdam represents 6%. This data underscores the significant concentration of opportunities in Amsterdam, which is critical for hiring managers considering their recruitment strategies in the highly competitive tech sector.
In the competitive landscape of the Artificial Intelligence job market in the Netherlands, particularly in Rotterdam, certain technologies emerge as essential for prospective candidates. Python leads the pack, with a remarkable frequency of 14,106 occurrences, showcasing its prominence in AI roles. Following closely are Machine Learning and its variations, which have a total frequency of 8,036, highlighting the demand for expertise in this area. SQL stands out as a critical skill, with 6,070 mentions, indicative of the need for data management proficiency. Other notable technologies include AI itself, appearing 5,465 times, and Data Analysis, with 3,996 occurrences. These insights are further illustrated in the accompanying chart, which visualizes the technology preferences shaping hiring trends in the region.
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