Kubernetes and scikit-learn frequently appear together in AI job postings, with 34 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $211K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Kubernetes and scikit-learn appear together in 34 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.
Top Roles Requiring Kubernetes + scikit-learn
AI/ML Engineer22 jobs
MLOps Engineer5 jobs
Prompt Engineer3 jobs
LLM Engineer2 jobs
Data Engineer1 jobs
Data Scientist1 jobs
Career Impact
Professionals who combine Kubernetes and scikit-learn earn a median salary ceiling of
$211K, compared to $230K for Kubernetes alone and
$240K for scikit-learn alone. This 10% discount
reflects roles requiring both skills tend to be more common mid-level positions, while single-skill roles may skew toward senior or specialized positions with higher pay ceilings.
Top Companies Hiring for Kubernetes + scikit-learn
Based on our analysis of current AI job postings, 34 positions require both Kubernetes and scikit-learn skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and scikit-learn pay an average of $152K to $211K based on 27 postings with disclosed compensation.
Jobs requiring both Kubernetes and scikit-learn pay $211K on average (max), compared to $230K for Kubernetes alone and $240K for scikit-learn alone. That represents a 10% discount for having both skills.
The most common roles requiring both Kubernetes and scikit-learn are: AI/ML Engineer, MLOps Engineer, Prompt Engineer, LLM Engineer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 1,969 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of March 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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Methodology
Skill co-occurrence data is derived from 34 job postings that list both Kubernetes and scikit-learn
as required or preferred skills. Salary data includes only postings with disclosed compensation ranges.
Data is updated weekly from major job boards and company career pages.
