SageMaker and scikit-learn frequently appear together in AI job postings, with 16 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $162K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
SageMaker and scikit-learn appear together in 16 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 SageMaker + scikit-learn
AI/ML Engineer11 jobs
Data Scientist3 jobs
Prompt Engineer1 jobs
MLOps Engineer1 jobs
Career Impact
Professionals who combine SageMaker and scikit-learn earn a median salary ceiling of
$162K, compared to $201K for SageMaker alone and
$240K for scikit-learn alone. This 26% 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.
Based on our analysis of current AI job postings, 16 positions require both SageMaker and scikit-learn skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both SageMaker and scikit-learn pay an average of $113K to $162K based on 12 postings with disclosed compensation.
Jobs requiring both SageMaker and scikit-learn pay $162K on average (max), compared to $201K for SageMaker alone and $240K for scikit-learn alone. That represents a 26% discount for having both skills.
The most common roles requiring both SageMaker and scikit-learn are: AI/ML Engineer, Data Scientist, Prompt Engineer, MLOps 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 16 job postings that list both SageMaker 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.
