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Salary Comparison
Updated February 21, 2026
6 min read

Complete AI/ML Engineer vs. Python Developer Salary Comparison (2026)

Explore the salary differences, benefits, and career paths for AI/ML Engineers and Python Developers in 2025.

• Reviewed by Sarah Chen

Sarah Chen

Senior Career Advisor

12+ years in HR and recruitment

Quick Comparison

Ai/ml Engineer

$126,667

avg. annual salary

0%

Python Developer
pays more on average

Python Developer

$126,810

avg. annual salary

As technology evolves, so do the roles that dominate the job market. Two in-demand positions are AI/ML Engineers and Python Developers, both integral to the world of software and artificial intelligence. Understanding the salary ranges, benefits, and career paths of these two roles can help you make informed career decisions. In this article, we will compare the average salaries of AI/ML Engineers and Python Developers in 2025, delve into the unique benefits each role offers, and explore the career trajectories available for professionals in these fields.

Salary by Experience Level

Ai/ml Engineer Entry
$100,000

starting salary

Python Developer Entry
$100,113

starting salary

Salary Difference
$143

avg. difference (0%)

Average Salaries

In 2025, the average salary for an AI/ML Engineer is approximately $120,000 per year, with a range from $100,000 to $140,000 depending on experience and location. On the other hand, Python Developers earn an average salary of around $95,000 a year, with salaries ranging from $80,000 to $110,000.

The disparity in salary reflects the specialized skills and knowledge that AI/ML Engineers must acquire.

Salary Breakdown by Experience Level

For entry-level positions, AI/ML Engineers earn about $100,000 while Python Developers can expect around $80,000. At the mid-level, salaries rise significantly with AI/ML Engineers earning approximately $130,000 and Python Developers making about $100,000.

Senior-level AI/ML Engineers can earn as much as $150,000, while senior Python Developers typically reach around $120,000.

Benefits and Perks

Both roles offer a variety of benefits. AI/ML Engineers often enjoy additional perks such as access to advanced technologies and project opportunities in innovative fields like robotics and data science.

Python Developers typically receive competitive salaries, flexible work environments, and opportunities for professional growth through coding workshops and conferences. Health benefits and retirement plans are common in both roles.

Career Path Opportunities

AI/ML Engineers can progress to roles like AI Architect or Data Scientist, focusing on advanced machine learning algorithms and AI solutions. Python Developers might advance to Senior Developer or Software Architect positions, often taking on more responsibilities in system design and project management.

Both careers demonstrate a significant demand, making skill development essential for advancement.

Job Market Outlook

The job market for AI/ML Engineers looks promising, with an annual growth rate projected at 35%, largely due to the increasing integration of AI in various industries. Python Developers also enjoy strong job prospects, with a steady growth rate of around 20%.

Companies across various sectors continue to seek skilled professionals to maintain competitive advantages.

Detailed Comparison

AI/ML Engineer vs Python Developer — 2025 snapshot

  • Salary ranges (U.S., total cash): AI/ML Engineer: $110,000$210,000 (median ~$150,000). Python Developer: $75,000$150,000 (median ~$110,000). Thus, median AI/ML pay is about 36% higher.
  • Why the gap exists: AI/ML roles require statistical modeling, model deployment, and often large-scale data handling. For example, a mid-level ML engineer who builds a recommendation model and productionizes it with Docker + Kubernetes typically commands $20k–$40k more than a backend Python dev who writes APIs.
  • Bonuses & equity: Tech companies often add 10%30% in bonuses and 0.01%0.2% equity at startups; at FAANG, total comp can exceed listed ranges by 20%50%.
  • Location & industry effects: Bay Area salaries are 25%40% higher; finance and healthcare firms pay premiums of 10%30% for ML expertise.
  • Skill levers to raise pay: Master PyTorch/TensorFlow, MLOps (CI/CD for models), cloud ML services (AWS SageMaker/GCP Vertex). For Python devs, specialize in Django/Flask, async programming, and system design.

Actionable takeaways:

  • If you want +$20k–$40k, add MLOps and cloud certifications.
  • If you prefer stable web work, focus on backend system design to reach $120k+.

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