Azure + Fine-tuning Jobs in 2026

Azure and Fine-tuning frequently appear together in AI job postings, with 146 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $212K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

146
Job Count
$129K
Avg Min Salary
$212K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Azure + Fine-tuning?

Deploying LLM applications in production requires both Fine-tuning expertise and Azure infrastructure skills. Azure provides the compute, scaling, and serving layer, while Fine-tuning handles the AI application logic. The 146 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.

Top Roles Requiring Azure + Fine-tuning

AI/ML Engineer 67 jobs
AI Product Manager 60 jobs
Prompt Engineer 10 jobs
LLM Engineer 4 jobs
Data Scientist 2 jobs
Data Engineer 1 jobs

Career Impact

Professionals who combine Azure and Fine-tuning earn a median salary ceiling of $212K, compared to $207K for Azure alone and $228K for Fine-tuning alone. This 3% discount reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.

Top Companies Hiring for Azure + Fine-tuning

Salary Comparison: Combo vs Individual Skills

Azure Only
$207K
524 jobs
+3% vs combo
Azure + Fine-tuning
$212K
146 jobs
Fine-tuning Only
$228K
347 jobs
-7% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 146 positions require both Azure and Fine-tuning skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Azure and Fine-tuning pay an average of $129K to $212K based on 128 postings with disclosed compensation.
Jobs requiring both Azure and Fine-tuning pay $212K on average (max), compared to $207K for Azure alone and $228K for Fine-tuning alone. That represents a 3% discount for having both skills.
The most common roles requiring both Azure and Fine-tuning are: AI/ML Engineer, AI Product Manager, 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 146 job postings that list both Azure and Fine-tuning 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.