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 job market for Artificial Intelligence Machine Learning Engineers in Switzerland has displayed significant fluctuations over the past 12 weeks. Notably, while there was a peak of 99 new job openings in week 10, this figure dropped sharply to just 10 openings by week 14, highlighting a volatile recruitment landscape. In comparison, the number of closed positions has tended to outpace openings, with a high of 186 closures in week 15. This trend suggests a challenging environment for hiring managers, as the net loss in available roles points to a potentially competitive market for top talent. In contrast to other tech roles across Europe, which may experience steadier demand, the hiring dynamics for Artificial Intelligence Machine Learning Engineers in Switzerland indicate a need for adaptive recruitment strategies.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
JobCourier | Switzerland | Human Resources | null | 10 |
|
TieTalent | Switzerland | Information Technology & Services | 2017 | 9 |
|
Gaea21 | Switzerland | Environmental Services | 2005 | 9 |
|
Outlier | United States | Information Technology & Services | 2023 | 9 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 9 |
|
UBS | Switzerland | Financial Services | 1862 | 8 |
|
BCG Platinion | Germany | Management Consulting | 2000 | 7 |
|
Deloitte | United States | Management Consulting | 1845 | 7 |
|
Meta | United States | Information Technology & Services | 2004 | 7 |
|
|
Adaptyv | Switzerland | Research | 2020 | 6 |
The talent market for Artificial Intelligence Machine Learning Engineers in Switzerland presents a challenging scenario for hiring managers. With a significant number of job openings relative to the available talent pool, the ratio indicates a tighter job market compared to neighboring countries. For instance, while Switzerland grapples with this imbalance, countries such as Germany and France showcase a more favorable ratio, where the abundance of qualified talent eases recruitment processes. In contrast, the United Kingdom also experiences a competitive landscape but boasts a slightly more balanced ratio of job openings to talent. Consequently, hiring professionals in Switzerland may need to refine their recruitment strategies to attract top-notch candidates amidst escalating demand.
In Switzerland's dynamic Artificial Intelligence Machine Learning job market, the seniority distribution is as follows: 34% of positions are categorized as Mid-Senior level, making it the most common level of seniority. Entry level roles account for 33% of the job market, indicating a strong influx of new talent into this sector. Additionally, Internship positions represent 17% of the openings, reflecting a growing interest in nurturing future professionals in the field.
In Switzerland, the employment type distribution for engineering roles reveals a strong preference for Full-time positions, comprising 93% of the total job market. This is followed by Part-time roles at 6% and Contract positions at 1%. As hiring managers in the tech industry evaluate the Artificial Intelligence Machine Learning Engineer job market trends, these insights are crucial for shaping recruitment strategies.
Analyzing the time to hire distribution for Artificial Intelligence Machine Learning Engineers in Switzerland reveals key market insights for hiring managers. A significant portion of candidates, approximately 49% (492 counts), are hired within 30 days, indicating a relatively swift recruitment process for this talent pool. However, the hiring timeline extends, with about 30% of positions taking 35 days or longer to fill. Notably, the 25 to 30-day range accounts for 268 candidates, demonstrating an opportunity for tech leads and CTOs to streamline their recruitment strategies. Furthermore, the presence of hiring durations exceeding 50 days for 195 candidates highlights the competitive landscape, suggesting the need for proactive recruitment strategies within Switzerland's tech sector.
In Switzerland, the distribution of job openings for Artificial Intelligence Engineers reveals a significant concentration in key cities. Zurich dominates the landscape with 66% of the vacancies, followed by Bern at 16% and Basel at 13%. As the capital of Switzerland, Bern’s position in the job market underscores its growing relevance in the technology sector, particularly in Artificial Intelligence and Machine Learning.
In analyzing the job market trends for Artificial Intelligence Machine Learning Engineers in Switzerland, several key technologies emerge as vital for candidates. Notably, Python leads the way with a frequency of 13,232 mentions, underscoring its prominence in Machine Learning applications. Following closely are SQL and Machine Learning, with frequencies of 5,642 and 7,567 respectively, highlighting their critical roles in data manipulation and predictive analytics. Additionally, AWS, with 1,413 mentions, demonstrates the growing importance of cloud-based solutions in AI workflows. These technologies, as illustrated in the accompanying chart, represent foundational skills that hiring managers should prioritize when considering suitable candidates for their teams.
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