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Ml Analyst Jobs in Colorado (NOW HIRING)

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... You will take ownership of specific projects, perform data analysis, and optimize models for ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... You will take ownership of specific projects, perform data analysis, and optimize models for ...

Cymertek Corporation

AI/ML Engineer

Aurora, CO · On-site

... analyze datasets • Expertise in supervised and unsupervised learning • Familiarity with cloud-based AI tools • Skill in debugging and testing AI models Preferred : • Knowledge of ...

CACI

Staff AI/ML Engineering Manager

Aurora, CO · On-site

... Analyzing large datasets and building models to perform inference Applying Large Language Models ... ML domains: Large Language Models and experience identifying ways to incorporate them into new ...

H2B Consulting, Inc.

AI/ML Engineer III

Englewood, CO · On-site

$165.31 - $220.42/hr

... perception systems, analytics, and next-generation aerospace and defense technologies ... Lead AI/ML model development * Build scalable machine learning systems * Develop rapid prototypes

HOPE Learning Academy Co-Op

ML Specialist

Englewood, CO · On-site

$46K - $65K/yr

Analyze iReady, MAP, and Virtual Instructor reports to adjust instruction and monitor progress toward language mastery. * ML Plans (MLPs): Coordinate the timely writing and monitoring of ML Plans ...

Cymertek

AI/ML Engineer

Aurora, CO · On-site

AI/ML Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Ability to preprocess and analyze datasets * Expertise in supervised and unsupervised learning

Cymertek Corporation

AI/ML Engineer

Aurora, CO · On-site

$110 - $160/hr

AI/ML Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Ability to preprocess and analyze datasets * Expertise in supervised and unsupervised learning

CACI

Staff Computer Vision AI/ML Engineer

Aurora, CO · Remote

Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing Analyzing and pre-processing large remote sensing ...

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All JobsMl Analyst JobsMl Analyst Jobs in Colorado

Ml Analyst information

See Colorado salary details

$32.6K

$77K

$136.7K

How much do ml analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ml analyst in Colorado is $77,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $91,500.00 per year, depending on experience, location, and employer.

Is machine learning analyst a high paying job?

Machine learning analysts typically earn above-average salaries compared to many other data-related roles, with compensation influenced by experience, education, and industry. Professionals in this field often have skills in programming, statistical analysis, and tools like Python or R, which can contribute to higher pay levels.

What are popular job titles related to Ml Analyst jobs in Colorado?

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What job categories do people searching Ml Analyst jobs in Colorado look for?

The top searched job categories for Ml Analyst jobs in Colorado are:

What cities in Colorado are hiring for Ml Analyst jobs?

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Infographic showing various Ml Analyst job openings in Colorado as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $77,035 per year, or $37 per hour.

AI/ML Engineer II

Sierra Nevada Corporation

Lone Tree, CO • On-site

$99K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies

Job description

The AI/ML Engineer II is a mid-level position for individuals with professional experience in designing and implementing machine learning algorithms. In this role, you will independently develop and deploy AI/ML solutions to address complex challenges, such as autonomous systems, predictive maintenance, and computer vision. You will take ownership of specific projects, perform data analysis, and optimize models for performance and scalability. This position requires a combination of technical expertise, problem-solving skills, and the ability to collaborate with multidisciplinary teams to meet mission-critical objectives.
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.
Responsibilities:
  • Design, implement, and optimize machine learning models for applications such as object detection, signal processing, predictive analytics, and decision-making systems.
  • Develop and maintain data pipelines for collecting, preprocessing, and managing large-scale datasets. Identify data gaps and propose solutions to improve data quality.
  • Conduct performance testing and validation of AI/ML models using rigorous evaluation metrics. Optimize models for accuracy, efficiency, and scalability.
  • Write and deploy efficient, modular code to integrate AI/ML models into operational systems, ensuring reliability and compatibility with existing platforms.
  • Test AI/ML solutions in simulated environments to evaluate performance under real-world conditions. Contribute to system-level debugging and troubleshooting.
  • Collaborate with hardware engineers, software developers, and systems architects to align AI/ML solutions with mission-critical requirements.
  • Document technical designs, workflows, and testing procedures for internal and external use. Share findings and best practices with team members.
  • Explore and integrate emerging AI/ML frameworks, tools, and methodologies to enhance system capabilities and address new challenges.
  • Train, evaluate, and optimize standard AI models (ANNs, CNNs, RNNs) for supervised and unsupervised tasks.
  • Implement and test basic reinforcement learning algorithms and generative models under supervision.
  • Develop and integrate signal processing and computer vision modules to enhance perception and decision-making capabilities.
  • Conduct simulations and performance profiling of AI/ML models on CPU/GPU architectures, identifying bottlenecks.
  • Execute validation and verification procedures, analyze test results, and support system compliance with safety and reliability standards.

Qualifications You Must Have:
  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 2+ years of experience in a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 6 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Practical experience using machine learning frameworks (e.g., TensorFlow, PyTorch) and applying core AI/ML techniques, including supervised, unsupervised, and introductory reinforcement learning methods.
  • Hands-on experience implementing and evaluating ANNs, CNNs, and RNNs in small-scale or pilot projects. Assisted with deploying machine learning models in production or research environments.
  • Proficiency in programming languages such as Python, C++, C# or Java.
  • Strong understanding of supervised and unsupervised learning techniques.
  • Experience deploying AI/ML solutions in production environments.

Qualifications We Prefer:
  • Master's degree in Artificial Intelligence, Machine Learning, or related field. Experience with reinforcement learning or generative AI models (e.g., GANs, Transformers).
  • Working knowledge of Agile or DevOps practices in software/ML project environments.
  • Hands-on experience with at least one advanced ML technique (e.g., clustering or dimensionality reduction) in coursework or projects.
  • Basic experience with GPU programming (e.g., CUDA basics) or using GPUs for ML model training.
  • Exposure to generative models (e.g., GANs, Transformers) or reinforcement learning frameworks.
  • Experience analyzing and processing diverse datasets to extract insights.
  • Familiarity with requirements gathering and basic deployment of ML systems.
  • Awareness of hardware acceleration tools and edge AI concepts.

Essential Functions:
  • Work extensively on a computer for coding, debugging, and integrating AI/ML systems.
  • Travel occasionally to testing sites, customer locations, or conferences (up to 10-20%).
  • Ability to work in a hybrid environment and manage multiple tasks effectively.

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: $108,496.89 - $149,183.22. 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 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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