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Ml Infrastructure Engineer Jobs in Colorado (NOW HIRING)

Gusto, Inc.

Sr. Staff AI/ML Engineer

Denver, CO · On-site

$245K - $272K/yr

This includes developing core platform capabilities - agent orchestration, RAG infrastructure, eval ... We're a small, high-impact group of ML engineers and platform builders working closely with Product ...

Govcio LLC

$175K - $220K/yr

GovCIO is currently hiring for AI/ML Engineer develops and integrates advanced machine learning and ... Familiarity with MLOps practices, model deployment, and scalable cloud-based AI infrastructure.

Judge Group, Inc.

AI/ML Engineer III

Highlands Ranch, CO · On-site

$63 - $65/hr

Our client is currently seeking a AI/ML Engineer III Skills: Lead the design and development of ... Provide guidance on the selection of tools, frameworks, and infrastructure. Translate high-level ...

Compa

Senior Software Engineer (all teams)

Denver, CO · On-site

$165K - $220K/yr

The Role As a Senior Software Engineer, you'll have real ownership over the software and systems ... Interest or experience in AI systems or ML infrastructure * Comfortable with ambiguity and fast ...

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Showing results 21-40

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 Aug 7, 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.

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What cities in Colorado are hiring for Ml Infrastructure Engineer jobs? Cities in Colorado with the most Ml Infrastructure Engineer job openings:
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Infographic showing various Ml Infrastructure Engineer job openings in Colorado as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $133,612 per year, or $64.2 per hour.

Principal AI/ML Engineer

Sierra Nevada Corporation

Lone Tree, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

18th of 72 rated aerospace companies

Job description

In this role, you will help shape the long-term AI/ML technical vision for the organization, guide high-impact R&D initiatives, and lead the development of advanced autonomy, perception, analytics, and generative AI capabilities. You will be responsible for setting technical direction across multiple simultaneous efforts, defining architectural standards, and ensuring that JTF Sierra's prototypes and initiatives represent industry-leading innovation. This role requires exceptional technical depth, the ability to operate with extreme autonomy, and the leadership presence to influence engineering culture, collaborate with program leadership, mentor staff, and represent the team to senior executives, customers, and external partners.
The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries.
Role Expectations Specific to JTF Sierra
  • Translate broad mission objectives into program-level AI/ML architectures, strategies, staffing plans, data approaches, and technical frameworks.
  • Drive system-level AI/ML decision-making by establishing technical standards and guiding engineering trade studies that shape platform-level autonomy and perception capabilities.
  • Identify and champion high-value R&D opportunities, emerging technologies, and cross-organizational partnerships that accelerate SNC's AI/ML advancements.
  • Provide deep technical consultation across JTF Sierra and adjacent Business Unit product lines, ensuring architectural coherence and consistent technical excellence.
  • Ensure AI/ML solutions are architected for scalability and seamless integration with enterprise-wide platforms. Collaborate with IT and infrastructure teams to define and implement the necessary tools, data pipelines, and computing resources to support sustainable AI/ML operations across the organization.
  • Balance program-specific AI/ML solution development with the strategic creation of reusable frameworks, shared data assets, and foundational infrastructure that enable cross-program and enterprise-wide AI/ML adoption.

Responsibilities:
  • Lead design and technical direction for next-generation architectures spanning deep learning, reinforcement learning, multimodal generative AI, and advanced perception/decision systems
  • Architect and oversee end-to-end multi-program AI/ML systems across platforms and embedded systems
  • Assist with development of long-term technical strategies, roadmaps, and requirements for emerging AI/ML initiatives
  • Identify, define, and advocate for the foundational data, compute, MLOps, and cloud/on-prem infrastructure necessary to support sustainable and secure AI/ML development and deployment across JTF Sierra and related business units.
  • Establish and promote best practices for the full AI/ML lifecycle-including data management, model versioning, CI/CD for ML, monitoring, and continuous improvement-to ensure reliable deployment and operation of AI/ML models in production.
  • Oversee multiple development streams, providing technical reviews, risk assessments, and mitigations plans
  • Shape system-level behavior and engineering tradeoffs when requirements are ambiguous
  • Lead development of simulations, sensor fusion models, vision models, and planning/decision algorithms
  • Represent JTF Sierra to leadership, customers, and partners (assist in developing and presenting briefings, demos, high-level technical presentations, etc)
  • Establish adaptive, agile AI/ML validation, verification, and safety frameworks for proof-of-concept level mission-critical systems
  • Evaluate and introduce emerging technologies (examples: transformers, RLHF, edge AI, XAI, GPU acceleration)
  • Partner with Program Manager and Project Engineer to define staffing, data, schedules, and resources required to execute JTF Sierra technical initiatives
  • Coach and develop engineering talent, raising JTF Sierra's overall AI/ML capabilities

Qualifications You Must Have:
  • Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related STEM field
  • 14+ years of experience in AI/ML or related fields, or 16+ years without a degree
  • Demonstrated mastery of deep learning, reinforcement learning, generative models, and large-scale AI/ML system architecture
  • Proven experience architecting and deploying mission-critical and/or large-scale AI/ML systems
  • Strong proficiency in Python, C++, C#, and/or Java with experience building scalable Machine Learning systems
  • Experience providing technical leadership across teams, projects, or programs
  • Ability to define technical strategies, influence senior stakeholders, and make organization-level architecture decisions
  • In-depth experience with aerospace/defense-relevant regulatory and cybersecurity considerations
  • Demonstrated ability to mentor and grow engineering talent within an organization

Qualifications We Prefer:
  • Advanced degree (MS or PhD) in AI/ML or related field
  • Experience applying AI/ML to autonomy, multimodal sensor fusion, or embedded/real-time platforms
  • Experience establishing or scaling ML engineering standard (MLOps, validation frameworks, data management)
  • Expertise with GPU acceleration, CUDA/TensorRT, or parallel computing
  • Publications, patents, or thought leadership in AI/ML
  • Familiarity with edge AI, explainable AI (XAI), or emerging/advanced ML topics
  • Experience translating high-level mission objectives into complex AI/ML system architectures (HMI scenarios, autonomy stacks)

Essential Functions:
  • Define and lead complex AI/ML projects across multiple programs
  • Collaborate in a hybrid environment while supporting rapid demonstration timelines
  • Travel 10-30% for R&D, customer and partner engagement, field testing, and conferences

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.
Estimated Starting Salary Range: $165,010.21 - $226,889.04. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.
SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.
SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.
IMPORTANT NOTICE:
This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.
Learn more about the background check process for Security Clearances.
SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!
SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.

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