Machine Learning Developer Hiring Trends in Zurich, Switzerland

This report was last updated on Aug 3, 2025

Bence Gedai

Founder

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.

Key learnings from this report

The job market for Artificial Intelligence Machine Learning Engineers in Switzerland, particularly in Zurich, has witnessed a total of 32 new positions posted in the last 12 weeks, contrasted with 41 roles closed, indicating a competitive hiring landscape.
With Zurich accounting for 63% of the total job openings for Artificial Intelligence Engineers in Switzerland, it remains the principal city for talent acquisition, followed by Bern and Basel at 15% and 12%, respectively.
Approximately 56% of job openings for Machine Learning Engineers are at the Mid-Senior level, highlighting a strong demand for experienced professionals crucial for future hiring trends in Zurich's tech sector.
The hiring landscape reflects a preference for full-time roles, which comprise 93% of available positions in engineering, underscoring the need for hiring managers to target stable, long-term commitments in their recruitment strategies.
Due to the imbalance between job openings and the available talent pool, hiring managers in Switzerland must develop innovative recruitment strategies to successfully attract qualified Artificial Intelligence Machine Learning Engineers, amidst a landscape characterized by increasing complexity.

Number of roles opened and closed for Machine Learning Engineers in Zurich in the last 3 months

The job market for Artificial Intelligence Machine Learning Engineers in Switzerland, particularly in Zurich, has shown notable fluctuations over the past 12 weeks. During this period, a total of 32 new positions were posted, contrasting sharply with 41 roles that were closed. This disparity indicates a challenging hiring landscape, particularly when compared to other engineering roles in the region, and may suggest increased competition or shifting demand dynamics within the tech sector. Understanding these trends is crucial for CTOs and hiring managers looking to develop effective recruitment strategies in the competitive Swiss market.

Who else is hiring for ai Engineers in Switzerland:

Company name	Country	Industry	Founded	# Job openings
Axelera AI	Netherlands	Semiconductors	2021	9
Gaea21	Switzerland	Environmental Services	2005	8
EY	United Kingdom	Professional Training & Coaching	1989	6
WorldQuant	United States	Financial Services	2007	6
Luxoft	Switzerland	Information Technology & Services	2000	6
Daedalean AI	Switzerland	Aviation & Aerospace	2016	5
adesso Schweiz AG	Switzerland	Information Technology & Services	2007	5
NVIDIA	United States	Computer Hardware	1993	4
BCG Platinion	Germany	Management Consulting	2000	4
Boston Consulting Group (BCG)	United States	Management Consulting	1963	4

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Talent pool vs job openings for Artificial Intelligence Engineers in Switzerland

How competitive it is to hire Artificial Intelligence Engineers in Switzerland

The job market for Artificial Intelligence Machine Learning Engineers in Switzerland is characterized by a notable imbalance between the number of job openings and the available talent pool. With a significantly high count of job openings relative to the size of the talent pool, hiring managers in Switzerland are facing challenges in sourcing qualified candidates. In comparison, countries such as Germany, France, and the Netherlands demonstrate more favorable ratios, suggesting that recruitment efforts may be more successful in these regions. This disparity indicates that CTOs and engineering managers in Switzerland must adopt innovative recruitment strategies to attract top talent in the competitive tech landscape of Zurich. Consequently, the future demand for Artificial Intelligence Machine Learning Engineers in Switzerland remains strong, yet the path to acquiring such talent is increasingly complex.

Seniority distribution of Machine Learning Engineer job openings in Zurich

Seniority Distribution of Machine Learning Engineering Jobs in Zurich

In the competitive job market of Artificial Intelligence Machine Learning Engineers in Switzerland, particularly in Zurich, the seniority distribution reveals critical insights for hiring managers. Approximately 56% of available positions are at the Mid-Senior level, while Entry level roles account for 25% and Internship opportunities comprise 23%. This distribution highlights the demand for experienced professionals, indicative of future trends in hiring Senior Artificial Intelligence Machine Learning Developers across Zurich.

Preferred employment type for Engineering roles in Switzerland

In Switzerland, the employment landscape for engineering roles demonstrates a strong preference for full-time positions, which represent 93% of available jobs. Part-time roles account for 7%, while contract positions make up approximately 6%. This data underlines the dominance of full-time employment in the sector, providing valuable insights for hiring managers and CTOs in their recruitment strategies for Artificial Intelligence and Machine Learning Engineers.

Time to Hire Distribution for Artificial Intelligence in Switzerland

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence roles in Switzerland, specifically in Zurich, highlights significant trends relevant for hiring managers. A majority of positions, amounting to 331 hires, are fulfilled within 30 days, indicating a rapid recruitment cycle in the market. However, the data also shows notable hiring activities within the 10 to 25-day range, with 181 and 147 counts respectively, suggesting a competitive landscape for Artificial Intelligence Machine Learning Engineer roles. CTOs and tech leads must keenly navigate this efficiency to attract top talent swiftly, especially as demand for Senior Artificial Intelligence Machine Learning Developers continues to rise. This analysis underscores the importance of streamlined recruitment strategies to secure skilled candidates in the evolving tech sector of Switzerland.

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Most popular cities in Switzerland to hire Artificial Intelligence Engineers

Top 5 cities in Switzerland to hire Artificial Intelligence Engineers

In Switzerland, the city of Zurich stands out as a major hub for Artificial Intelligence Engineer job openings, accounting for 63% of the total relevant positions in the country. Following Zurich, Bern and Basel represent 15% and 12% of the job market, respectively. Notably, the capital, Bern, plays a significant role in the distribution, ensuring a well-rounded presence of opportunities across the nation. For a visual representation, please refer to the attached chart.

Most sought after technologies in Zurich for Machine Learning

Key technologies for Machine Learning Engineers

In analyzing the technologies prevalent in the Artificial Intelligence Machine Learning job market, particularly in Switzerland and Zurich, several key programming languages and platforms emerge as essential tools for developers. Python leads the pack with a notable usage frequency of 8,156, making it the go-to language for Machine Learning and AI projects. Following closely, SQL is indispensable for data management, evidenced by a frequency of 3,272. Additionally, Machine Learning, a core focus area, has a frequency of 4,640, showcasing the demand for skills in this domain. Technologies such as Java (1,209) and Cloud services (670) further underscore the need for versatile technical competencies. These findings are reflected in the accompanying chart, which illustrates the frequency of technology usage within this dynamic job market.

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