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Freelance Artificial Intelligence Machine Learning Jobs in Colorado

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Deloitte

Cyber - SecOps - Consultant

Denver, CO · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Deloitte

Oracle Gen AI Manager

Colorado Springs, CO

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Deloitte

Oracle Gen AI Manager

Denver, CO

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Varstaff

AI/ML Engineer III

Englewood, CO · On-site

Master's degree in Artificial Intelligence, Machine Learning, or a related field. * Experience building or scaling an AI/ML function within a small or maturing team. * Background in Aerospace ...

Varstaff

AI/ML Engineer III

Englewood, CO · On-site

Master's degree in Artificial Intelligence, Machine Learning, or a related field. * Experience building or scaling an AI/ML function within a small or maturing team. * Background in Aerospace ...

Sierra Nevada Corporation

AI/ML Engineer III

Lone Tree, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree in Artificial Intelligence, Machine Learning, or related field. * Experience leading teams or projects in aerospace and defense industries. * Familiarity with cybersecurity and ...

Prescient Edge

Senior Computer Scientist

Colorado Springs, CO · On-site

$150K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression ...

Polycreek

Board Member - Polycreek

Denver, CO · On-site

Artificial intelligence / machine learning * Cybersecurity or trust & safety * Nonprofit governance or legal/compliance * Fundraising or philanthropy * Victim advocacy or child protection * Ability ...

Nou Systems Inc

Machine Learning Engineer

Colorado Springs, CO · On-site

$100K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are pleased to announce an opening for a Machine Learning Engineer who will join our team in ... Strong communication skills, intellectual curiosity, and comfort working across ML, software, and ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Cymertek Corporation

Data Scientist

Aurora, CO · On-site

$100 - $160/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DEGREE (Level Desired)Bachelor's Degree DEGREE (Focus)Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Information Systems, Operations Research ...

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All JobsArtificial Intelligence Machine Learning JobsFreelance Artificial Intelligence Machine Learning JobsFreelance Artificial Intelligence Machine Learning Jobs in Colorado

Freelance Artificial Intelligence Machine Learning information

How do freelance AI/ML professionals typically manage client expectations and project scope?

Freelance AI/ML professionals often work with clients who may not fully understand the technical possibilities or limitations of machine learning solutions. A key challenge is clearly communicating what can be achieved within a given timeframe and budget, and then setting realistic milestones. This often involves regular check-ins, well-documented progress updates, and educating clients about the iterative nature of AI/ML development. Building trust and transparency is essential, as is being flexible to adapt project goals based on data availability or evolving client needs.

What are the key skills and qualifications needed to thrive as a freelance artificial intelligence machine learning specialist?

To thrive as a Freelance Artificial Intelligence/Machine Learning Specialist, you need a strong background in mathematics, statistics, programming (Python or R), and a solid understanding of machine learning algorithms, usually backed by a relevant degree or certifications. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Google Cloud is typically required. Strong problem-solving abilities, self-motivation, and effective client communication are crucial soft skills for success in freelance work. These skills ensure you can deliver high-quality, innovative solutions independently and maintain strong client relationships in a rapidly evolving field.

What is the difference between Freelance Artificial Intelligence Machine Learning vs Data Scientist?

AspectFreelance Artificial Intelligence Machine LearningData Scientist
CredentialsTypically requires knowledge of AI/ML, programming, and relevant certificationsRequires degrees in data science, statistics, or related fields, often with certifications
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed full-time in organizations, but also freelance options exist
Industry UsageUsed across tech, finance, healthcare, and startups for AI/ML projectsCommon in tech, finance, healthcare, and research sectors for data analysis

Freelance Artificial Intelligence Machine Learning professionals focus on developing AI/ML models independently, often on specific projects, while Data Scientists analyze data to extract insights, typically within organizations. Both roles require strong technical skills, but their work environments and project scopes differ.

What is a freelance artificial intelligence machine learning professional?

Freelance Artificial Intelligence (AI) Machine Learning (ML) professionals are independent experts who develop, implement, and optimize AI and ML models for various clients and projects. They often work remotely or on a contract basis, assisting organizations with tasks such as data analysis, algorithm development, model training, and deployment. Freelance AI/ML specialists typically possess skills in programming languages like Python or R, and are familiar with frameworks such as TensorFlow or PyTorch. Their work ranges from building predictive models and automating processes to consulting on AI strategy and integrating machine learning into business solutions.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Colorado? The most popular types of Artificial Intelligence Machine Learning jobs in Colorado are:
What are popular job titles related to Freelance Artificial Intelligence Machine Learning jobs in Colorado? For Freelance Artificial Intelligence Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Freelance Artificial Intelligence Machine Learning jobs in Colorado look for? The top searched job categories for Freelance Artificial Intelligence Machine Learning jobs in Colorado are:
Freelance Artificial Intelligence Machine Learning jobs near you
Infographic showing various Freelance Artificial Intelligence Machine Learning job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

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 10 days ago

Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

18th 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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