AI / ML Engineer Jobs in Denver

5 positions available in CO. Mountain tech hub with 210K+ aerospace, cleantech, and software jobs

Sr. Staff AI/ML Engineer

Gusto • Denver, CO;San Francisco, CA;New York, NY

hybrid

Senior Machine Learning Engineer (Nova)

Iterable • Atlanta, Georgia; Austin, Texas; Boston, Massachusetts; Chicago, Illinois; Denver, Colorado; New York, New York; San Francisco, California

remote

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Legal AI Engineer (Contractor)

Gusto • San Francisco, CA - Hybrid; Denver, CO - Hybrid; New York, NY - Hybrid; United States - Remote

hybrid

Data Science and Machine Learning Product Manager (Remote)

Evio • Denver, CO

remote

Related Roles in Denver

Backend Developer Mobile Developer Product Manager Scrum Master

AI / ML Engineer in Other Cities

San Francisco (CA) Seattle (WA) Boston (MA) Nashville (TN)

What Does a AI / ML Engineer Do?

AI/ML engineers develop machine learning models and AI systems that learn from data to make predictions or decisions. They work on model architecture, training, optimization, and deployment to production systems.

AI / ML Engineer Salary in Denver

The median salary for a AI / ML Engineer in Denver is $114,501 per year. The range is $87K - $151K (P10: $64,670, P90: $195,644). (BLS OEWS 2025) Typical US salary range: $110K - $180K. In Europe: €75K - €120K. Cost of living in Denver is high compared to other cities.

Most In-Demand Skills

Python TensorFlow/PyTorch Machine Learning Theory NLP/Computer Vision Model Optimization LLM Fine-tuning

The Denver Job Market

Mountain tech hub with 210K+ aerospace, cleantech, and software jobs. Denver's elevation and outdoor culture attract tech talent seeking altitude and work-life balance with growing startup ecosystem.

Top industries: Aerospace, Cleantech & Energy, Software, Outdoor Recreation Tech.

RTD light rail expanding; tech companies emphasize outdoor culture with flexible remote arrangements.

Career Path & 2026 Trends

AI/ML engineers advance to senior ML engineer, research engineer, or ML platform architect; many pursue specialization in specific domains like NLP or computer vision. AI/ML engineering in 2026 is dominated by generative AI, with massive demand for engineers who can fine-tune and deploy LLMs in production environments.

Interview Tip

Walk through your model development lifecycle—discuss data preparation, model selection, hyperparameter tuning, and evaluation metrics that matter for the business.

How to Find a AI / ML Engineer Job in Denver?

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