The Machine Learning Job Market — 2026-06
Machine Learning's market share has climbed to 1.47%, reflecting steady demand despite an overall dip in job postings.
The data
Share of the job market over time
% of all tech postings that ask for this skill — the coverage-normalised demand signal.
Top hiring companies
Which roles ask for it
Where the work is — by country
The stack around it — what's bundled with it
Salary distribution (€/yr)
Work modality
The analysis
Machine Learning’s market share has climbed to 1.47%, reflecting steady demand despite an overall dip in job postings.
What’s really happening
Machine Learning’s market share has increased to 1.47%, indicating a steady demand despite a recent dip in the absolute number of job postings. This suggests that the skill is still highly valued, possibly due to its critical role in data-driven decision-making and the ongoing integration into business processes. The latest month saw only 5 postings, but this mirrors our indexing coverage rather than a decline in demand for the skill itself.
Who’s hiring, and for what roles
The demand for Machine Learning is spread across various companies and roles, with Mindrift and BoschGroup leading in job postings. Key roles include Data Scientist and Machine Learning Engineer, with a notable presence of Applied AI Engineers and Deep Learning Scientists. The market is predominantly mid-level, with 3010 mid/unspecified positions, compared to 61 senior and 16 junior roles, suggesting a preference for experienced candidates who can hit the ground running.
Where the work is
Germany and the United States lead the way in Machine Learning job postings, with a significant presence in the United Kingdom and France. The field is quite remote-friendly, with 39% of roles offering remote work options, reflecting the global nature of tech work and the flexibility companies are willing to offer to attract top talent.
What it pays
The salary landscape for Machine Learning roles is lucrative, with a median salary of €172,040, based on 1840 samples. High salaries are concentrated in tech hubs like Palo Alto and San Francisco, where median figures reach up to €285,200. This skew towards higher salaries may be influenced by senior roles and USD-denominated remote positions.
The connections — what comes bundled with it
Machine Learning roles frequently require skills in Python, SQL, and data analysis, indicating that these roles are deeply embedded in broader data and software ecosystems. Other key pairings include AI, deep learning, and MLOps, highlighting the need for candidates to be proficient in both machine learning frameworks and the operational aspects of deploying models.
Is AI reshaping this field?
Despite the rapid growth of AI, Machine Learning’s integration with AI-specific skills remains modest, with an aiAdjacencyPct of 0. However, skills like deep learning and MLOps are common, suggesting that while Machine Learning is not being heavily pulled into the AI orbit, it remains a foundational layer for AI technologies. This limited AI exposure means that traditional Machine Learning expertise is still in demand.
What to study
For newcomers, mastering Python and SQL is essential, alongside core Machine Learning frameworks like TensorFlow and PyTorch. Entry-level roles are scarce, so building a solid foundation in these areas is critical. For experienced professionals, acquiring skills in MLOps and deep learning can enhance employability, as these are increasingly bundled with Machine Learning roles. Additionally, exploring cloud platforms like AWS could offer an edge.
Outlook
The steady increase in Machine Learning’s market share suggests that demand for this skill remains robust. As businesses continue to leverage data for competitive advantage, proficiency in Machine Learning will remain valuable. Job seekers should focus on building a comprehensive skill set that includes both Machine Learning expertise and complementary skills like data analysis and MLOps to stay competitive in this evolving field.
Key takeaways
- Machine Learning’s market share is growing, highlighting its sustained importance.
- Germany and the US are hotspots for Machine Learning roles, with significant remote opportunities.
- Python and SQL are essential skills to pair with Machine Learning expertise.
- For experienced professionals, deep learning and MLOps are valuable additions to your skill set.
- Machine Learning roles offer lucrative salaries, especially in tech hubs like Palo Alto.