Docker and scikit-learn frequently appear together in AI job postings, with 35 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $204K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Docker and scikit-learn appear together in 35 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 Docker + scikit-learn
AI/ML Engineer21 jobs
MLOps Engineer4 jobs
Data Scientist3 jobs
Prompt Engineer3 jobs
LLM Engineer2 jobs
AI Architect1 jobs
Career Impact
Professionals who combine Docker and scikit-learn earn a median salary ceiling of
$204K, compared to $215K for Docker 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.
Based on our analysis of current AI job postings, 35 positions require both Docker and scikit-learn skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Docker and scikit-learn pay an average of $148K to $204K based on 26 postings with disclosed compensation.
Jobs requiring both Docker and scikit-learn pay $204K on average (max), compared to $215K for Docker alone and $240K for scikit-learn alone. That represents a 10% discount for having both skills.
The most common roles requiring both Docker and scikit-learn are: AI/ML Engineer, MLOps Engineer, Data Scientist, Prompt 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 35 job postings that list both Docker 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.
