Machine Learning Developer Hiring Trends in Winterthur, Switzerland

This report was last updated on Jun 7, 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 Winterthur has recently shown significant fluctuations, with only two new positions opened in the past three months, while 16 positions were closed, reflecting a competitive landscape for hiring managers.
The primary skills required for Artificial Intelligence Machine Learning roles include proficiency in Python, SQL, and Machine Learning, which are critical in data manipulation and algorithm implementation, underscoring the importance of these technologies in attracting talent.
The seniority distribution indicates that internships and entry-level roles comprise 80% of the job openings in the region, showcasing a strategic focus on early career talent development, which is vital for tech leads considering their recruitment strategy.
Zurich emerges as the top city for hiring Artificial Intelligence Engineers, accounting for 61% of openings in Switzerland, followed by Bern and Basel, illustrating the concentration of opportunities in key urban centers.
With a median time to hire of 34 days for Artificial Intelligence Engineers in Switzerland, hiring managers are encouraged to optimize their recruitment processes to attract and retain qualified candidates in this competitive environment.

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

In the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Switzerland Winterthur has demonstrated notable fluctuations. Only two new positions were introduced, indicating a potential stagnation in demand for these roles. In stark contrast, the market witnessed a total of 16 job closures, suggesting that competition is high and companies may be consolidating roles or struggling to fill existing vacancies. This trend reflects a broader challenge within Switzerland's tech sector and indicates a need for strategic recruitment approaches, particularly for CTOs and Engineering Managers aiming to attract top talent in Artificial Intelligence Machine Learning. Comparatively, similar roles across Europe are experiencing a varying landscape, demanding innovative hiring strategies to stay competitive.

Who else is hiring for ai Engineers in Switzerland:

Company name	Country	Industry	Founded	# Job openings
Outlier	United States	Information Technology & Services	2023	11
TieTalent	Switzerland	Information Technology & Services	2017	9
Gaea21	Switzerland	Environmental Services	2005	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
Dynamo AI	United States of America	Software Development	2021	6
University of St.Gallen	null	null	null	6
Meta	United States	Information Technology & Services	2004	6

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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 talent market for Artificial Intelligence Machine Learning Engineers in Europe reveals varying challenges across different countries. In Switzerland, with a significant number of job openings relative to its available talent pool, the ratio suggests a competitive hiring environment. For instance, Germany and France exhibit a greater ease in hiring, indicated by a more favorable jobs-to-talent pool ratio, while the UK shows similar challenges as Switzerland. This disparity highlights that hiring talent in Switzerland, particularly in cities like Winterthur, may be more arduous for CTOs and tech leads, necessitating tailored recruitment strategies to attract qualified candidates.

Seniority distribution of Machine Learning Engineer job openings in Winterthur

Seniority Distribution of Machine Learning Engineering Jobs in Winterthur

In the vibrant tech landscape of Winterthur, the distribution of Artificial Intelligence and Machine Learning Engineering jobs showcases distinct seniority levels. Currently, internships hold a significant share with 41% of the roles, followed closely by entry-level positions at 39%. Mid-Senior level roles account for 35% of the job market. This distribution indicates a burgeoning focus on nurturing early career talent in the region, which could inform recruitment strategies for CTOs and hiring managers.

Preferred employment type for Engineering roles in Switzerland

The employment type distribution for engineering roles in Switzerland indicates a strong preference for Full-time positions, which constitute 93% of the total job market. Part-time roles account for 6%, while Contract positions make up 1%. This data highlights critical hiring trends in the Artificial Intelligence Machine Learning Engineer job market in Switzerland, particularly in cities like Winterthur, where the demand for full-time talent is notably high.

Time to Hire Distribution for Artificial Intelligence in Switzerland

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineers in Switzerland shows significant variability, with a notable concentration in the 25 to 35-day range, accounting for 265 and 313 positions, respectively. Overall, the majority of candidates are hired within a 30 to 45-day timeframe, illustrating a competitive job market for these specialized roles. This insight suggests that hiring managers, especially CTOs and Engineering Managers in Switzerland, should be prepared to streamline their recruitment strategies to reduce time-to-hire and attract top talent efficiently. Additionally, it highlights the urgency for recruitment strategies that align with the current demand for Artificial Intelligence Machine Learning talent in Switzerland, particularly in Winterthur.

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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 the Swiss job market for Artificial Intelligence Machine Learning Engineers, Zurich leads significantly with 61% of the total openings, reflecting its status as a tech hub. The capital, Bern, accounts for 15%, while Basel follows with 12%. This data highlights the concentration of opportunities in major cities, as illustrated in the accompanying chart.

Most sought after technologies in Winterthur for Machine Learning

Key technologies for Machine Learning Engineers

In the context of the Artificial Intelligence Machine Learning job market in Switzerland, specifically Winterthur, several key technologies stand out based on their prevalence. Python, with a notable frequency of 12,956, emerges as the dominant programming language for AI and machine learning development. Following closely are SQL and Machine Learning, demonstrating frequencies of 5,487 and 7,420 respectively, indicating their critical roles in data manipulation and algorithm implementation. The use of Cloud technologies, recorded at 1,047, also reflects the industry's ongoing transition to scalable solutions. These trends are further illustrated in the accompanying chart, emphasizing the significance of these technologies in meeting the future demand for Artificial Intelligence Machine Learning Engineers in Switzerland Winterthur.

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