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Apprentice Machine Learning Testing Jobs in Denver, CO

RK Industries, LLC

Machine Operator Steel

Henderson, CO · On-site

$17.50 - $21.25/hr

Operate production machinery. * Must be experienced operating variety of CNC fabrication equipment ... learning opportunities, we well as our accredited apprentice program: RK University & RK ...

RK Mechanical

Machine Operator Steel

Henderson, CO

$25 - $30/hr

Operate production machinery. * Must be experienced operating variety of CNC fabrication equipment ... learning opportunities, we well as our accredited apprentice program: RK University & RK ...

RK Industries, LLC

Machine Operator Steel

Henderson, CO · On-site

$17.50 - $21.25/hr

Operate production machinery. * Must be experienced operating variety of CNC fabrication equipment ... learning opportunities, we well as our accredited apprentice program: RK University & RK ...

RK Industries, LLC

Machine Operator Steel

Henderson, CO

$17.50 - $21.25/hr

Operate production machinery. * Must be experienced operating variety of CNC fabrication equipment ... learning opportunities, we well as our accredited apprentice program: RK University & RK ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

Develop validation and testing frameworks ensuring compliance with safety and reliability standards ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

Cymertek

Data Scientist

Aurora, CO · On-site

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... Experience with A/B testing * Proficiency in natural language processing * Understanding of time ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

Develop validation and testing frameworks ensuring compliance with safety and reliability standards ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

New

Booz Allen Hamilton

MLOps Engineer, Mid

Aurora, CO

$77K - $176K/yr

... machine learning across the enterprise. You'll implement continuous integration and deployment to development, testing, and production environments. This is an opportunity to broaden your skill set ...

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Apprentice Machine Learning Testing information

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How much do apprentice machine learning testing jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for apprentice machine learning testing in Denver, CO is $19.93, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.78 per hour, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Denver, CO? For Apprentice Machine Learning Testing jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Denver, CO look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Denver, CO are:
Apprentice Machine Learning Testing jobs near you
AI/ML Engineer III

AI/ML Engineer III

Sierra Nevada Corporation

Highlands Ranch, CO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Sierra Nevada Corporation rating

8.6

Company rating: 8.6 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

18th of 61 rated aerospace companies

Job description

The AI/ML Engineer III is a mid-level technical position that requires advanced expertise in designing, developing, and deploying machine learning systems for aerospace and defense applications. In this role, you will lead the creation of cutting-edge AI solutions for complex problems, such as autonomous navigation, sensor fusion, and real-time decision-making. You will also mentor junior engineers, manage key projects, and contribute to strategic decision-making within AI/ML development efforts. Your work will directly impact mission-critical systems and next-generation technologies.
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:
  • Lead the design and development of advanced machine learning models, including deep neural networks, reinforcement learning systems, and generative AI algorithms, to solve complex problems.
  • Architect scalable AI/ML systems that can integrate seamlessly with existing software and hardware platforms. Provide guidance on the selection of tools, frameworks, and infrastructure.
  • Collaborate with systems engineers, hardware teams, and data scientists to align AI/ML solutions with mission-specific requirements and constraints.
  • Manage AI/ML projects, including scoping, resource allocation, and timeline management, ensuring that deliverables meet quality and performance expectations.
  • Develop and oversee robust validation and testing frameworks to ensure that AI/ML models meet performance, safety, and compliance standards in real-world scenarios.
  • Mentor junior engineers, providing technical guidance and fostering a collaborative, innovative team environment.
  • Stay current with emerging AI/ML technologies and propose innovative solutions to address new and existing challenges in the aerospace and defense domain.
  • Communicate technical concepts, project progress, and outcomes to stakeholders, including leadership and external partners, in a clear and concise manner.
  • Independently train, fine-tune, and optimize advanced AI architectures (including transformers) for complex applications.
  • Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to solve domain-specific challenges.
  • Lead the development and integration of signal processing, computer vision, and planning algorithms to advance autonomous system functionality.
  • Design and execute large-scale simulations and modeling of AI/ML systems, ensuring scalability, performance, and robustness on CPU/GPU platforms.
  • Lead rigorous validation and verification activities, ensuring deliverables meet performance, safety, and reliability requirements.

Qualifications You Must Have:
  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 6+ 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 9 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Proficient in machine learning frameworks (e.g., TensorFlow, PyTorch) and skilled in implementing advanced AI/ML techniques, such as supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic), as well as working with generative AI models (e.g., transformers).
  • Proficient in developing, deploying, and optimizing AI/ML models, including ANNs, CNNs, and RNNs, for production applications. Contributed to the design and scaling of systems for larger datasets or environments with moderate complexity.
  • Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI/ML systems.
  • Demonstrated experience leading teams or projects, including mentoring junior staff.
  • Proven track record of deploying AI/ML models in production environments and optimizing them for real-world use cases.
  • Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications

Qualifications We Prefer:
  • 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 regulatory requirements.
  • Proficient in Agile or DevOps workflows; active participant in iterative ML software development.
  • Practical experience designing and implementing advanced ML techniques, such as clustering, dimensionality reduction, or generative modeling.
  • Hands-on experience with GPU programming and using high-performance computing systems for ML workloads.
  • Experience with at least one reinforcement learning or generative AI model (e.g., implementing GANs or Transformers).
  • Able to analyze large-scale, heterogeneous datasets and apply advanced statistical and ML methods to real-world problems.
  • Experience translating mission objectives into actionable system requirements, including HMI scenarios.
  • Familiarity with hardware acceleration (e.g., CUDA, TensorRT) and introductory knowledge of edge AI or XAI.

Essential Functions:
  • Ability to lead and manage complex AI/ML projects.
  • Travel occasionally to testing sites, customer locations, or conferences (up to 10-20%).
  • Work in a hybrid environment, managing cross-functional teams and high-priority deliverables.

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: $124,771.42 - $171,560.71. 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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