Machine Learning Engineer Salary Denver 2026
Quick Answer
About This Role and Location
Machine learning engineers are among the most in-demand technical professionals in today’s job market. Denver, Colorado has emerged as a significant tech hub in recent years, attracting major companies and startups alike. The Denver metropolitan area includes notable tech centers in Boulder, Aurora, Lakewood, Centennial, and Thornton.
However, comprehensive salary data for this specific role in Denver is not currently available in our dataset. This section explains what information would typically be included and why current data collection is important for your career research.
Exploring job careers in city? Let AI find your perfect match.
Learn More →Why Current Data Matters
When researching salaries for specialized roles like machine learning engineering, it’s crucial to work with the most recent data available. The tech industry experiences rapid wage growth and market shifts, particularly in emerging tech hubs like Denver. Salary figures can change significantly year-over-year based on:
- Demand fluctuations: As companies expand AI and ML initiatives, compensation packages shift
- Cost of living adjustments: Denver’s housing market and overall cost of living directly impact salary competitiveness
- Experience level variations: Entry-level, mid-career, and senior ML engineers command vastly different compensation
- Employer size and funding: Startups, established tech companies, and enterprises offer different salary ranges
Understanding the Denver Tech Market
Denver’s tech ecosystem has grown substantially, with major employers and venture-backed startups establishing significant operations in the region. The metropolitan area offers:
- Diverse employer base: From Fortune 500 companies to innovative startups
- Growing demand: Increased hiring for AI, machine learning, and data science roles
- Competitive compensation: While typically lower than Silicon Valley, Denver offers strong salaries with lower cost of living
- Quality of life: The region attracts talent seeking work-life balance and outdoor recreation
Free Guide: How to Negotiate a job Salary (Data-Backed Scripts)
Learn More →What to Consider When Evaluating Offers
When evaluating machine learning engineer positions in Denver, consider these factors beyond base salary:
Compensation Components:
- Base salary (typically the largest component)
- Stock options or equity (especially important at startups)
- Sign-on bonuses
- Annual performance bonuses
- Benefits packages (health, retirement, professional development)
Role-Specific Factors:
- Experience level required (entry, mid, senior)
- Specialization (deep learning, NLP, computer vision, etc.)
- Team size and reporting structure
- Project scope and impact
- Remote work flexibility
Location Considerations:
- Cost of living in Denver vs. your current location
- Housing market conditions
- Proximity to tech hubs (Boulder, Fort Collins)
- Quality of life factors
Getting Accurate Salary Data
To obtain current, accurate salary information for machine learning engineers in Denver, we recommend:
- Bureau of Labor Statistics (BLS): Visit bls.gov and search for “Computer and Information Research Scientists” (SOC 15-1221) or “Software Developers” (SOC 15-1251) — the closest occupational categories to ML engineers
- Professional Networks: Reach out to local Denver tech communities and professional associations
- Job Postings: Review current openings on LinkedIn, Glassdoor, and tech-specific job boards for salary ranges
- Company Research: Check Glassdoor, Levels.fyi, and company career pages for employer-specific data
- Recruiting Firms: Tech recruiters specializing in Denver have current market intelligence
Frequently Asked Questions
What is the typical career progression for machine learning engineers in Denver?
Machine learning engineers typically progress from junior/entry-level positions (0-2 years) through mid-level roles (2-5 years) to senior engineer positions (5+ years), and potentially into staff engineer, principal engineer, or management tracks. Each progression level typically involves significant salary increases, expanded responsibilities, and broader project scope. The Denver market values both technical depth and leadership capabilities.
How does the Denver cost of living affect ML engineer compensation?
Denver’s cost of living is moderate compared to major tech hubs like San Francisco or New York, which affects salary offerings. While Denver salaries may be lower in absolute dollars than coastal tech centers, the purchasing power is significantly higher due to lower housing costs, taxes, and general expenses. This makes Denver increasingly attractive for ML engineers seeking competitive compensation with better quality of life.
What skills command the highest salaries for ML engineers in Denver?
Specialized expertise in high-demand areas typically commands premium compensation. These include: deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, GCP, Azure), large language models, computer vision, natural language processing, and MLOps/ML infrastructure. Additionally, strong software engineering fundamentals, system design knowledge, and experience with production ML systems significantly impact salary levels.
Are there remote opportunities that affect Denver ML engineer salaries?
The rise of remote work has impacted Denver’s ML engineer market. Some roles offer remote flexibility, which can affect local salary competitiveness. Companies hiring remote ML engineers may offer Denver-based rates for local candidates or market-competitive rates regardless of location. This has both increased opportunities and created more competition for Denver-based positions.
How do startup vs. enterprise salaries compare for ML engineers in Denver?
Startup compensation typically includes lower base salaries but significant equity stakes, making total compensation highly variable and dependent on company success. Enterprise companies offer more stable, often higher base salaries with modest equity or bonuses. Denver’s growing startup scene provides equity-heavy opportunities, while established tech companies offer more predictable compensation structures.
What’s the job market outlook for machine learning engineers in Denver?
The demand for machine learning engineers continues to grow across industries including finance, healthcare, aerospace, energy, and consumer technology. Denver’s diverse economy and growing tech sector suggest strong long-term demand. However, competition is increasing as more professionals enter the field, making continuous skill development and specialization important for career advancement.
This article was prepared based on available data as of April 2026. For the most current salary information, consult the Bureau of Labor Statistics OEWS database, current job postings, and professional salary databases. Actual compensation varies based on experience, skills, education, company size, and specific role responsibilities. This content is informational and should not be considered financial or career advice.
Last updated: April 13, 2026