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Ml Infrastructure Engineer Jobs in Colorado (NOW HIRING)

Paradigm

Senior ML Ops Engineer

Denver, CO · On-site

$123K - $170K/yr

... infrastructure, and AI-powered innovation. What You Will Do: · Design, build, and maintain ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

Judge Group, Inc.

Principal AI/ML Engineer

Englewood, CO · On-site

$75 - $80.15/hr

AI/ML Platform & Infrastructure * Define and advocate for scalable AI/ML infrastructure, including data pipelines, compute environments, MLOps platforms, cloud/on-premise systems, and deployment ...

Deloitte

Azure/Databricks Infrastructure Engineer

Denver, CO · On-site

$57.50 - $76.75/hr

Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks ...

AppFolio

Staff Machine Learning Engineer

Denver, CO

This role works at the intersection of ML infrastructure, applied AI, and cost discipline. You'll partner closely with our Voice & Agents and Research ML engineers to harden their prototypes into ...

AppFolio

CO

This role works at the intersection of ML infrastructure, applied AI, and cost discipline. You'll partner closely with our Voice & Agents and Research ML engineers to harden their prototypes into ...

Nrel

Linux Infrastructure Engineer II/III

Golden, CO · Hybrid

$111K - $145K/yr

... data science,AI/ML,applied math, and computational science, as well asproviding ... to engineer, deploy, and manage infrastructure that supportshigh-performance computing (HPC ...

Stackinfra

Platform Engineer - AI Infrastructure

Denver, CO · On-site

$110K - $145K/yr

Must pass comprehensive background and drug screening MUST-HAVE QUALIFICATIONS: * 7+ years of cloud infrastructure/DevOps experience with at least 2 years supporting AI/ML, automation, or data ...

Nametag

Senior Software Engineer, Reliability

Denver, CO · Remote

$120K - $190K/yr

Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of ... Data & ML Infrastructure * Design and operate data pipelines that support our ML-powered ...

AppFolio

CO

$17.50 - $20.50/hr

You understand how ML infrastructure decisions compound over time. * Production builder: You've ... engineering. * Reliability mindset: You treat ML infra like any other production system: SLOs ...

BillGO, Inc.

Staff Engineer - AI

Fort Collins, CO · On-site

Operate and evolve ML infrastructure including: * Model serving and inference pipelines * Feature engineering and online/offline consistency * Monitoring for data quality, model performance, and ...

BillGO, Inc.

Staff Engineer - AI

Fort Collins, CO · On-site

$151K - $225K/yr

Operate and evolve ML infrastructure including: * Model serving and inference pipelines * Feature engineering and online/offline consistency * Monitoring for data quality, model performance, and ...

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All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Colorado

Ml Infrastructure Engineer information

See Colorado salary details

$48.9K

$133.6K

$191.4K

How much do ml infrastructure engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for ml infrastructure engineer in Colorado is $133,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $148,300.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Colorado? For Ml Infrastructure Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Ml Infrastructure Engineer jobs in Colorado look for? The top searched job categories for Ml Infrastructure Engineer jobs in Colorado are:
What cities in Colorado are hiring for Ml Infrastructure Engineer jobs? Cities in Colorado with the most Ml Infrastructure Engineer job openings:
Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Colorado as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $133,612 per year, or $64.2 per hour.

Senior ML Ops Engineer

Paradigm

Denver, CO • On-site

$123K - $170K/yr

Full-time

Posted 17 days ago

Job description

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are building the future with modern software engineering, agent-assisted systems, and mobile-first experiences. We are powered by our parent company, Builders FirstSource (NYSE: BLDR): a Fortune 300 company with over $23 billion in revenue and more than 29,000 employees across 550+ locations, BFS is redefining construction through data, digital infrastructure, and AI-powered innovation.

What You Will Do:

· Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.

· Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.

· Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.

· Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.

· Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.

· Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.

· Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.

· Implement and maintain IaC patterns using Terraform.

· Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.

· Provide guidance and mentorship to other engineers.

What You Need to Succeed:

· Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.

· 4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.

· Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.

· Experience building and maintaining automated machine learning pipelines and CI/CD workflows.

· Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.

· Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.

· Experience working with cloud-based machine learning solutions, preferably within Azure.

· Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.

Ready to Join? Apply now at myparadigm.com/careers/

Compensation Range: $123K - $170K