Machine Learning Developer Hiring Trends in Zurich, Switzerland

This report was last updated on Jun 1, 2025

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 significant fluctuations, with a peak of 36 new positions available in week 10 and a stark drop to just 1 new job in week 20.
The city of Zurich accounts for an impressive 64% of all Artificial Intelligence Engineer job openings in Switzerland, making it the primary hub for this talent pool, while Bern and Basel follow with 16% and 12% respectively.
Approximately 93% of available positions in the Artificial Intelligence Machine Learning sector are full-time roles, which should inform recruitment strategies for CTOs and hiring managers focused on talent acquisition in this domain.
With a talent pool of 2,000 against 1,200 job openings, Switzerland presents a tighter job market for Artificial Intelligence Engineers compared to other European nations, necessitating strategic approaches to recruitment.
The median time to hire for Artificial Intelligence Engineers in Switzerland stands at 34 days, highlighting the urgency for recruitment initiatives to attract skilled professionals in the competitive landscape of Zurich's tech sector.

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 Zurich has seen notable fluctuations over the past 12 weeks. The peak occurred in week 10 with 36 new positions becoming available, followed by a significant drop to just 1 new job in week 20. During this period, job closures also exhibited variability, with a high of 60 roles closed in week 15. This presents a concerning trend for recruitment strategies, indicating potential challenges for CTOs aiming to attract talent in this competitive sector. Compared to similar roles in other European markets, the instability in job postings in Zurich underscores the need for recalibrated hiring strategies to ensure alignment with market dynamics.

Who else is hiring for ai Engineers in Switzerland:

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

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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 and Machine Learning Engineers in Europe showcases significant regional variations. In Switzerland, the ratio of talent pool to job openings suggests a tighter market, with 1,200 job openings against a talent pool of 2,000, resulting in a jobs-to-talent pool ratio of 1.67. This contrasts sharply with Germany, which has 5,000 openings but a talent pool of 10,000, yielding a ratio of 2.0, indicating a more favorable hiring environment. Similarly, the United Kingdom presents a ratio of 3.0. With lower availability in Switzerland compared to these nations, hiring talent here is increasingly challenging, demanding strategic recruitment solutions from CTOs and hiring managers targeting the AI and ML sectors.

Seniority distribution of Machine Learning Engineer job openings in Zurich

Seniority Distribution of Machine Learning Engineering Jobs in Zurich

In the artificial intelligence machine learning job market in Switzerland, particularly in Zurich, the seniority distribution reveals significant insights for hiring managers. Approximately 46% of available positions are at the Mid-Senior level, while Entry level and Internship roles each account for 23% of the job market. This distribution suggests a competitive environment for attracting skilled professionals, particularly at the Mid-Senior level, which is crucial for driving innovation and leading projects in Switzerland's rapidly evolving tech landscape.

Preferred employment type for Engineering roles in Switzerland

In the Swiss engineering job market, notably within the Artificial Intelligence Machine Learning sector, a significant majority of positions are full-time, accounting for 93% of the total employment types. Part-time roles make up 6%, while contract positions contribute 1% to the overall employment distribution. This various employment landscape presents an essential consideration for hiring managers and CTOs targeting recruitment strategies for this specific domain in Zurich.

Time to Hire Distribution for Artificial Intelligence in Switzerland

How long does it take to hire Artificial Intelligence Engineers

In the current landscape of the Artificial Intelligence Machine Learning job market in Switzerland, the time to hire distribution reveals significant insights for hiring managers. A predominant number of positions, totaling 492 roles, take around 30 days to fill, indicating a potential standard recruitment cycle for this sector. Meanwhile, 268 positions require about 25 days, suggesting a competitive environment where quick recruitment strategies may be necessary. Moreover, hiring within 10 to 15 days is common for 203 and 181 counts respectively, highlighting the urgency of acquiring skilled professionals in this field. CTOs and engineering leaders should consider these timelines when devising recruitment strategies to position their organizations effectively in the thriving Zurich tech sector.

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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 the leading hub for Artificial Intelligence Machine Learning Engineers, accounting for 64% of total job openings in the country. Following Zurich, the capital city Bern represents 16% of the openings, while Basel holds a share of 12%. This concentration underscores Zurich's prominence in the Artificial Intelligence Machine Learning job market in Switzerland, as illustrated in the accompanying chart.

Most sought after technologies in Zurich for Machine Learning

Key technologies for Machine Learning Engineers

In the context of the Artificial Intelligence Machine Learning job market in Switzerland, particularly in Zurich, the most commonly utilized technologies include Python, which is pivotal with a frequency of 13,232. Following closely is Machine Learning, at 7,567, underscoring its prominence in job requirements. Data Analysis and SQL also play significant roles, with frequencies of 3,674 and 5,642, respectively. Additionally, the importance of Cloud technologies is notable, as they rank high with a frequency of 1,109. This data can be further explored in the accompanying chart, which illustrates the trends in technology usage for Artificial Intelligence Machine Learning positions.

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