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The job market for Machine Learning Engineers in Luxembourg has displayed fluctuating activity over the past 12 weeks. While there was a peak of 31 new Machine Learning roles posted in week 7, the closure rate has also been significant, with 28 positions closed shortly thereafter, indicating a dynamic but competitive landscape. Compared to other technical roles in Luxembourg, the hiring trends for Machine Learning positions remain robust, albeit with high turnover. In contrast, across Europe, the demand for Machine Learning roles surged to 2,980 postings in week 5, showing a pronounced regional disparity that may inform recruitment strategies for CTOs and hiring managers looking to attract talent in Luxembourg's tech sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
University of Luxembourg | null | null | null | 53 |
|
Amazon | United States | Information Technology & Services | 1994 | 21 |
|
LHH | United States of America | Human Resources Services | null | 3 |
|
EY | United Kingdom | Information Technology & Services | 1989 | 3 |
|
The Goodyear Tire & Rubber Company | United States of America | Motor Vehicle Manufacturing | 1898 | 3 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 3 |
|
myGwork - LGBTQ+ Business Community | United Kingdom | Internet | 2014 | 2 |
|
|
NTT DATA, Inc. | null | null | null | 2 |
|
Byborg Enterprises | Luxembourg | null | 2 | |
|
IEE Sensing | Luxembourg | Appliances, Electrical, And Electronics Manufacturing | 1989 | 2 |
The competition for Machine Learning Engineers in Luxembourg is significant, with an increasing demand reflected in the higher number of job openings compared to the available talent pool. Luxembourg has a jobs-to-talent pool ratio that suggests challenges in securing qualified candidates. In contrast, countries such as Germany and the Netherlands exhibit more favorable ratios, indicating a larger available workforce relative to job postings. Additionally, Poland presents a similar landscape, but with a growing influx of machine learning talent. Given these insights, hiring managers in Luxembourg should anticipate a competitive market for Machine Learning Engineers and consider adaptive recruitment strategies to secure top-tier talent.
In Luxembourg's Machine Learning job market, the distribution of roles reveals a prominent demand for professionals at various experience levels. Notably, 63% of positions are categorized as Mid-Senior level, followed by 30% as Internship roles, and 16% as Associate positions. This distribution highlights the growing need for experienced Machine Learning Engineers, suggesting that hiring managers should focus on attracting seasoned talent to meet the future demand for Machine Learning Engineers in Luxembourg.
In Luxembourg's engineering job market, the majority of positions are full-time, comprising 89% of openings. Contract roles make up 9% of the available positions, while internships account for 2%. This distribution emphasizes the strong preference for full-time employment, which aligns with the increasing demand for skilled professionals, including Machine Learning Engineers.
The time to hire distribution for Machine Learning jobs in Luxembourg indicates that the market is characterized by a relatively extensive hiring timeline. Notably, 46 positions were filled within 25 days, while 42 candidates secured roles in 30 days. The data highlights a significant concentration of hires occurring between 25 and 35 days, with 37 hires in this timeframe. On the other end of the spectrum, a considerable number of roles (over 20) remain open for 60 days or more, suggesting that recruitment strategies for CTOs in Luxembourg's tech sector may need to adapt to the challenges presented by prolonged hiring processes. This analysis underscores the importance of efficient recruitment strategies amid the evolving demand for Machine Learning engineers in Luxembourg.
The Machine Learning Engineers job market in Armenia reflects a dynamic landscape with distinct trends crucial for hiring managers and CTOs.
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The Machine Learning Engineers job market in Lithuania has shown significant fluctuations over the past three months, with a notable demand spike in week 5 leading to 48 new positions, contrasted by a decline to just one posting by week 14.
View ReportThe Machine Learning job market in Luxembourg has shown significant fluctuations over the past three months, with a total of 31 new roles posted in week 7, while 28 positions were closed shortly thereafter, indicating a highly dynamic and competitive recruitment landscape.
View ReportThe location distribution for Machine Learning Engineer job openings in Luxembourg reveals that 82% of the listings are concentrated in Luxembourg, the notable capital city, reflecting its prominence in the tech sector. Additionally, Luxembourg City accounts for 8% of the total job opportunities, while Kirchberg follows with 6%. Together, these insights underscore the dynamic employment landscape for Machine Learning professionals, as illustrated in the accompanying chart.
In the competitive landscape of the Machine Learning job market in Luxembourg, several technologies stand out due to their frequency of usage among job postings. Python leads the way with a notable frequency of 18,881, making it an essential skill for aspiring Machine Learning Engineers. Following Python, SQL and AI are also pivotal, with frequencies of 8,292 and 7,284 respectively. Additionally, Machine Learning itself has a frequency of 10,850, signifying its core role in these positions. Other significant technologies include Java, AWS, and Data Science, which reflect the technical needs of employers in Luxembourg's tech sector. For a visual representation of these technologies, please refer to the accompanying chart.
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