Azure and MLflow frequently appear together in AI job postings, with 33 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $186K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Azure and MLflow appear together in 33 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 Azure + MLflow
AI/ML Engineer18 jobs
MLOps Engineer8 jobs
Prompt Engineer3 jobs
Data Scientist2 jobs
Data Engineer1 jobs
LLM Engineer1 jobs
Career Impact
Professionals who combine Azure and MLflow earn a median salary ceiling of
$186K, compared to $207K for Azure alone and
$199K for MLflow alone. This 8% 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, 33 positions require both Azure and MLflow skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Azure and MLflow pay an average of $122K to $186K based on 29 postings with disclosed compensation.
Jobs requiring both Azure and MLflow pay $186K on average (max), compared to $207K for Azure alone and $199K for MLflow alone. That represents a 8% discount for having both skills.
The most common roles requiring both Azure and MLflow are: AI/ML Engineer, MLOps Engineer, Prompt Engineer, Data Scientist. 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 33 job postings that list both Azure and MLflow
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.
