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Artificial Intelligence And Machine Learning Jobs in Colorado

Judge Group, Inc.

Principal AI/ML Engineer

Englewood, CO · On-site

$75 - $80.15/hr

... Artificial Intelligence and Machine Learning initiatives. This individual will drive innovation across autonomy, perception, analytics, and generative AI domains while establishing scalable AI/ML ...

Lockheed Martin

$89K - $157K/yr

... Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing • Experience with modern software development tools and practices • TS/SCI clearance required to ...

Deloitte

Lead AI and Data Science Engineer II

Denver, CO · On-site

$105K - $139K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

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

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 ...

Seneca Resources Company, LLC

A.I. Engineer

Denver, CO · On-site

$70/hr

Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Physics, or a related technical discipline. * Strong experience developing machine ...

Deloitte

Cyber - SecOps - Consultant

Denver, CO

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 · On-site

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 · On-site

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

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 ...

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Artificial Intelligence And Machine Learning information

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for artificial intelligence and machine learning in Colorado is $27.71, according to ZipRecruiter salary data. Most workers in this role earn between $22.50 and $29.33 per hour, depending on experience, location, and employer.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.
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Artificial Intelligence And Machine Learning jobs near you
Infographic showing various Artificial Intelligence And Machine Learning job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $57,627 per year, or $27.7 per hour.

Principal AI/ML Engineer

Judge Group, Inc.

Englewood, CO • On-site

$75 - $80.15/hr

Other

Posted 28 days ago

Job description

Location: Englewood, CO Salary: $75.00 USD Hourly - $80.15 USD Hourly Description:
Title : Principal AI/ML Engineer
Location: Englewood, CO
Duration: 6 Months Temp to Hire
Pay: $80.15/hr. on W2
Job Summary
We are seeking a highly experienced Principal AI/ML Engineer to lead the technical vision, architecture, and execution of advanced Artificial Intelligence and Machine Learning initiatives. This individual will drive innovation across autonomy, perception, analytics, and generative AI domains while establishing scalable AI/ML frameworks, infrastructure, and best practices.
The ideal candidate combines deep technical expertise with strategic leadership capabilities and has a proven track record of architecting and deploying large-scale, mission-critical AI/ML systems. This role requires the ability to influence technical direction, mentor engineering teams, evaluate emerging technologies, and collaborate with stakeholders to deliver transformative AI-driven solutions.
Key Responsibilities
Technical Leadership & Architecture
  • Define and drive long-term AI/ML strategy, technical roadmaps, and architectural standards.
  • Lead the design and development of advanced AI solutions including deep learning, reinforcement learning, multimodal generative AI, perception systems, and decision-making algorithms.
  • Architect scalable end-to-end AI/ML systems across cloud, enterprise, edge, and embedded environments.
  • Translate high-level business and mission objectives into actionable AI/ML architectures, technical frameworks, data strategies, and resource plans.
  • Guide engineering trade studies, technology selection, and system-level design decisions.

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 frameworks.
  • Establish best practices for the complete AI/ML lifecycle, including:
    • Data management and governance
    • Model development and versioning
    • CI/CD for machine learning
    • Monitoring and performance tracking
    • Validation and continuous improvement
  • Ensure AI/ML solutions are designed for scalability, reliability, security, and enterprise-wide adoption.

Research & Innovation
  • Identify and champion emerging AI/ML technologies and high-value R&D opportunities.
  • Evaluate advancements in transformers, RLHF, generative AI, explainable AI (XAI), edge AI, GPU acceleration, and other cutting-edge technologies.
  • Drive innovation through research, experimentation, prototyping, and technology demonstrations.
  • Develop reusable frameworks, accelerators, and common assets that support multiple programs and initiatives.

Program Execution & Collaboration
  • Oversee multiple AI/ML development efforts simultaneously, conducting technical reviews, risk assessments, and mitigation planning.
  • Collaborate with engineering, product, infrastructure, and leadership teams to align AI/ML initiatives with organizational goals.
  • Lead the development of simulation environments, sensor fusion models, computer vision systems, and autonomy solutions.
  • Present technical concepts, demonstrations, and strategic recommendations to executive leadership and stakeholders.

Mentorship & Team Development
  • Provide technical leadership and guidance to engineering teams.
  • Mentor engineers and data scientists, fostering technical excellence and professional growth.
  • Help define staffing requirements, resource planning, and skill development strategies.
  • Promote a culture of innovation, collaboration, and continuous learning.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field.
  • 14+ years of experience in AI/ML, machine learning engineering, data science, or related technical disciplines.
  • Deep expertise in:
    • AI/ML system architecture
    • Deep learning
    • Reinforcement learning
    • Generative AI and foundation models
    • Large-scale machine learning systems
  • Strong programming skills in one or more of the following:
    • Python
    • C++
    • C#
    • Java
  • Proven experience architecting, deploying, and scaling complex AI/ML systems in production environments.
  • Demonstrated experience providing technical leadership across programs, teams, or organizations.
  • Experience defining technical strategy and influencing senior stakeholders.
  • Strong understanding of cybersecurity, system reliability, and compliance considerations in AI/ML environments.
  • Proven ability to mentor and develop engineering talent.

Preferred Qualifications
  • Master's degree or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
  • Experience applying AI/ML to:
    • Autonomous systems
    • Sensor fusion
    • Computer vision
    • Embedded or real-time platforms
  • Expertise with:
    • MLOps platforms and ML engineering standards
    • Validation and verification frameworks
    • Data management and governance
    • GPU acceleration technologies
    • CUDA and TensorRT
    • Parallel and distributed computing
  • Knowledge of:
    • Edge AI
    • Explainable AI (XAI)
    • Emerging AI/ML technologies
    • Human-machine interaction (HMI) systems
    • Autonomy architectures and decision systems
  • Publications, patents, conference presentations, or recognized thought leadership in AI/ML.

Technical Skills
Required
  • AI/ML System Architecture
  • Deep Learning
  • Reinforcement Learning
  • Generative AI / Generative Models
  • Python
  • Scalable Machine Learning Systems
  • Technical Leadership

Preferred
  • TensorRT
  • CUDA
  • C++
  • C#
  • Java
  • MLOps
  • Data Management
  • Validation Frameworks
  • GPU Acceleration
  • Parallel Computing
  • Edge AI
  • Explainable AI (XAI)
  • Multimodal Sensor Fusion
  • Embedded Systems
  • Real-Time AI Applications
  • Advanced AI Research & Innovation

Ideal Candidate
The ideal candidate is a visionary AI/ML leader who can combine strategic thinking, hands-on technical expertise, and organizational influence to deliver innovative AI solutions at scale. They are passionate about emerging technologies, capable of solving highly complex problems, and committed to building high-performing technical teams while advancing next-generation AI capabilities.
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