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Learning Program Manager Jobs in Colorado Springs, CO

Provides classification management, program security, information systems security, personnel ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

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Learning Program Manager information

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$46.3K

$80.2K

$180.8K

How much do learning program manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for learning program manager in Colorado Springs, CO is $80,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $87,700.00 per year, depending on experience, location, and employer.

What does a learning program manager do?

A Learning Program Manager is responsible for designing, implementing, and overseeing training programs within an organization. They collaborate with stakeholders to identify learning needs, develop curriculum, and ensure training aligns with business goals. Their role includes project management, budgeting, measuring the effectiveness of learning initiatives, and leveraging technology to enhance training delivery. Effective Learning Program Managers improve employee skills, engagement, and overall organizational performance.

What are the key skills and qualifications needed to thrive as a learning program manager?

A Learning Program Manager typically needs a background in instructional design, project management, and adult learning theory, often supported by a degree in education, human resources, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and certifications like PMP or CPLP is highly valued. Strong communication, stakeholder management, and organizational skills help candidates excel in collaborating across departments and adapting to evolving training needs. These competencies are crucial to effectively designing, implementing, and overseeing impactful learning initiatives that support organizational goals.

What does a typical day look like for a learning program manager, and how do they interact with other departments?

A typical day for a Learning Program Manager involves designing training programs, coordinating with subject matter experts, analyzing learning needs, and overseeing program rollouts. You will work closely with HR, department leaders, trainers, and sometimes external vendors to ensure learning solutions align with both employee development and organizational objectives. Frequent tasks include reviewing program effectiveness, managing budgets or timelines, and providing status updates to leadership. Collaboration and strong project management are key, as you'll often balance multiple initiatives and adapt to changing business priorities to deliver successful outcomes.

What are popular job titles related to Learning Program Manager jobs in Colorado Springs, CO?

For Learning Program Manager jobs in Colorado Springs, CO, the most frequently searched job titles are:

What job categories do people searching Learning Program Manager jobs in Colorado Springs, CO look for?

The top searched job categories for Learning Program Manager jobs in Colorado Springs, CO are:

What cities near Colorado Springs, CO are hiring for Learning Program Manager jobs?

Cities near Colorado Springs, CO with the most Learning Program Manager job openings:

Infographic showing various Learning Program Manager job openings in Colorado Springs, CO as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $80,187 per year, or $38.6 per hour.

Machine Learning Engineer

Nou Systems Inc

Colorado Springs, CO • On-site

$100K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

nou Systems, Inc. (nSI) is a 100% ESOP company solving challenging defense problems in an enjoyable, stimulating environment. We support mission areas including missile defense, battle management, cybersecurity, test range modernization, biotechnology, and space control.
We are pleased to announce an opening for a Machine Learning Engineer who will join our team in Colorado Springs, Colorado. You will help design, develop, and deploy machine learning capabilities across research, prototype, and operationally relevant defense applications.
We are looking for a mid-level engineer with strong fundamentals in machine learning, backend software development, and data science. The ideal candidate can collaborate with teammates to move ML capabilities from concept toward usable systems.
Responsibilities
  • Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.
  • Build backend software components that support ML workflows, data processing, model evaluation, and system integration.
  • Help identify, prepare, and validate training and evaluation datasets.
  • Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.
  • Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.
  • Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.
  • Communicate technical results clearly through written documentation, presentations, and team discussions.
  • Support multiple project teams and help translate ML concepts into practical engineering solutions.

Basic Qualifications
  • Bachelor's degree in computer science, mathematics, software engineering, data science, or a closely related technical field.
  • 3+ years of professional experience in machine learning, data science, or backend software development.
  • Hands-on experience developing, training, or evaluating deep learning models using PyTorch.
  • Professional experience building backend software, data pipelines, APIs, or system integration components.
  • U.S. citizenship and the ability to obtain a Secret security clearance.

Preferred Qualifications
  • Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches.
  • Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency)
  • Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically.
  • Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration.
  • Experience with ML tools (MLflow, Optuna, or PyTorch Lightning)
  • Experience with RL development using Gymnasium and Ray RLlib.
  • Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex.
  • Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments.

Position Details
  • This is an in-office role requiring presence at least 4 days per week.
  • Annual Salary Range: $100,000 - $160,000

nou (pronounced 'new') Systems:
Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions.
We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family.
Benefits of working at nSI
nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following:
  • Competitive Wages*
  • Medical, Rx, Dental & Vision Insurance
  • Medical plan with Health Savings Account eligibility
  • Generous company-funded Basic Life Insurance
  • Company-funded Short-Term & Long-Term Disability
  • Optional Accident and Critical Illness Insurance
  • Personal Time Off, Annual Leave, and Paid Federal Holidays
  • 401(k) Retirement Plan
  • Employee Stock Ownership Plan (ESOP)
  • Tuition Reimbursement for ongoing training, continuing education, or advanced degree programs
  • Personal Development, Learning Opportunities, & Lunch-n-Learns
  • Opportunities for Advancement
  • Skills Development & Certifications
  • Employee Referral Bonus Program
  • Corporate Sponsored Events & Community Outreach

*Final compensation for this position is determined by a variety of factors, such as a candidate's relevant work experience, skills, certifications, and geographic location.
nSI is an Equal Opportunity Employer
Employment opportunities at nSI are based upon a candidate's qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit U.S. citizenship is required for most positions.