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 Finland has demonstrated fluctuating patterns over the past 12 weeks. In week 23, there was a notable spike with 6 new positions opened, contrasting sharply with weeks 18 to 22, where activity remained low with only 1 to 3 postings. However, this surge is offset by a significant number of closed jobs, peaking at 12 in week 20, indicating a competitive landscape. Compared to roles in other European countries, there appears to be a more volatile job opening trend in Finland, suggesting that hiring managers in the Finnish tech sector must deploy strategic recruitment strategies to attract and retain talent effectively.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Huawei | China | Telecommunications | 1987 | 9 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 4 |
|
Nitor | Finland | Information Technology & Services | 2007 | 3 |
|
Camunda | Germany | Information Technology & Services | 2008 | 3 |
|
BCG Platinion | Germany | Management Consulting | 2000 | 2 |
|
Smartly | Finland | Marketing & Advertising | 2013 | 2 |
|
Solita | Finland | Information Technology & Services | 1996 | 2 |
|
Basware | Finland | Information Technology & Services | 1985 | 2 |
|
|
Apukka Resort | Finland | Leisure, Travel & Tourism | 2017 | 2 |
|
Digia Plc | Finland | Information Technology & Services | 1990 | 2 |
The hiring landscape for Artificial Intelligence Machine Learning Engineers across Europe demonstrates significant variability in talent availability and job openings. In Finland, the ratio of available talent to job openings indicates a challenging hiring environment, with a notable number of job openings relative to the size of the talent pool. When compared to other countries such as Germany and France, which also possess burgeoning tech ecosystems but boast larger talent pools, Finland's market presents a tighter competition for hiring. Meanwhile, countries like Estonia show a favorable jobs-to-talent ratio, potentially easing recruitment efforts for CTOs. As such, hiring managers in Finland must adopt strategic recruitment strategies to secure talent in this competitive space.
The distribution of seniority levels within the Artificial Intelligence Machine Learning Engineering job market in Finland reveals that 45% of positions are classified as Mid-Senior level, while Entry level roles account for 27%. Additionally, Internship opportunities represent 15% of the total job market, highlighting a significant demand for experienced candidates alongside a robust entry point for newcomers.
The employment type distribution for engineering roles in Finland reveals a predominance of full-time positions, accounting for 94% of the job market. Contract roles follow at 6%, while part-time opportunities represent 3% of the available positions. This distribution highlights the strong demand for stable employment among Artificial Intelligence Machine Learning Engineers in Finland.
The time to hire for Artificial Intelligence Machine Learning Engineers in Finland shows a notable distribution, with the majority of hires (115 counts) occurring within a timeframe of 30 days. The trend indicates a significant cluster around the 25 to 35-day range, where 73 and 72 counts, respectively, exemplify a favorable hiring pace in the tech sector. As companies seek to streamline their recruitment processes, understanding these time frames is essential for CTOs and hiring managers aiming to secure top talent in the competitive job market. Recruitment strategies should reflect these insights to align with the expectations and timelines of prospective candidates.
In Finland, the job market for Artificial Intelligence Engineers reveals a concentrated demand in major urban centers. Helsinki leads significantly with 68% of the total job openings, followed by Espoo at 22% and Tampere at 16%. This distribution underscores the importance of Helsinki as the primary hub for recruitment in the Artificial Intelligence and Machine Learning landscape.
In the rapidly evolving Artificial Intelligence Machine Learning job market in Finland, certain technologies dominate the landscape. Python is the most prevalent, appearing in 9,008 instances, underscoring its necessity for developers. Following closely, SQL is crucial for data handling, with 3,637 mentions, while Machine Learning itself registers at 5,056. Furthermore, AI technologies are widely utilized, with 3,242 occurrences, and deep learning frameworks support intricate model training, noted 685 times. These trends are visually represented in the accompanying chart, illustrating the technology usage across job postings for Artificial Intelligence Machine Learning Engineers.
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