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Manager Learning Development Jobs in Huntsville, AL

DevOps Engineer

Huntsville, AL · On-site

$120K - $165K/yr

... management, and related domains. You will help deploy, scale, and standardize machine learning development workflows in support of Small Business Innovation Research (SBIR) and Small Business ...

SMX is looking for a highly motivated Data Management Specialist to support our government client ... learning & development opportunities, and benefits. Some key components of our robust benefits ...

... management. Schwarze offers competitive pay and a wide range of employee benefits including ... Learning and Development Programs through the Alamo Group Learning & Development Academy!

... Non-Manager) Education Bachelor's Degree Security Clearance Required TS Igniters operate in the ... the full ML development lifecycle. • Experience working with SQL and NoSQL databases. • ...

What We Look For In a Web Development Tutor * Advanced Subject Mastery: Deep knowledge of front-end ... managing deployment environments. Adapts instruction using project-based learning, code reviews ...

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Showing results 1-20

Manager Learning Development information

See Huntsville, AL salary details

$50.3K

$98.2K

$132.5K

How much do manager learning development jobs pay per year?

As of Jul 13, 2026, the average yearly pay for manager learning development in Huntsville, AL is $98,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $113,800.00 per year, depending on experience, location, and employer.

How does a Manager of Learning and Development typically collaborate with other departments to identify training needs?

A Manager of Learning and Development regularly partners with leaders across departments to assess skill gaps, gather feedback, and align training programs with organizational goals. This often involves conducting needs assessments, participating in strategic meetings, and analyzing performance metrics to ensure learning initiatives support both employee growth and business objectives. Effective collaboration ensures that learning solutions are relevant, timely, and tailored to the unique challenges each department faces.

What is the difference between Manager Learning Development vs Learning and Development Specialist?

AspectManager Learning DevelopmentLearning and Development Specialist
CredentialsBachelor's degree, certifications in training or HR (e.g., CPLP)Bachelor's degree, certifications in training or HR (e.g., CPLP)
Work EnvironmentOversees teams, strategic planning, higher-level managementDelivers training, develops content, supports learning programs
Employer & Industry UsageCorporate, educational, nonprofit sectorsCorporate, educational, nonprofit sectors
Search & Comparison IntentLooking for leadership roles in learning developmentSeeking roles focused on training delivery and content creation

The main difference is that the Manager Learning Development oversees learning strategies and manages teams, while the Learning and Development Specialist focuses on delivering training and developing learning content. Both roles require similar credentials but differ in scope and responsibilities within organizations.

What does a Manager of Learning and Development do?

A Manager of Learning and Development is responsible for overseeing the training and professional growth initiatives within an organization. They design, implement, and evaluate programs that help employees improve their skills and knowledge. This role often involves assessing training needs, managing budgets, collaborating with department heads, and measuring the effectiveness of learning solutions. Ultimately, the goal is to support organizational goals by ensuring employees are well-trained and continuously developing.

What are the key skills and qualifications needed to thrive as a Manager of Learning and Development, and why are they important?

To thrive as a Manager of Learning and Development, you need expertise in instructional design, adult learning principles, project management, and typically a degree in education, HR, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and relevant certifications like CPLP or ATD are commonly required. Strong communication, leadership, and stakeholder management skills help you drive engagement and foster a culture of continuous learning. These abilities ensure effective development programs that support organizational growth and employee performance.
What are the most commonly searched types of Learning Development jobs in Huntsville, AL? The most popular types of Learning Development jobs in Huntsville, AL are:
What are popular job titles related to Manager Learning Development jobs in Huntsville, AL? For Manager Learning Development jobs in Huntsville, AL, the most frequently searched job titles are:
What job categories do people searching Manager Learning Development jobs in Huntsville, AL look for? The top searched job categories for Manager Learning Development jobs in Huntsville, AL are:
What cities near Huntsville, AL are hiring for Manager Learning Development jobs? Cities near Huntsville, AL with the most Manager Learning Development job openings:
Infographic showing various Manager Learning Development job openings in Huntsville, AL as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $98,236 per year, or $47.2 per hour.

Machine Learning Engineer

Waypoint Human Capital

Huntsville, AL • On-site

Full-time

Posted 15 days ago


Job description

Position Title: Machine Learning Engineer
Position Type: Full-time, On-Site
Location: Huntsville, AL
Clearance: Active TS
Description:
Waypoint's client is seeking a Machine Learning Engineer to support mission-critical efforts within a secure environment at the Missile and Space Intelligence Center. This role focuses on developing, integrating, and operationalizing machine learning solutions that support advanced analytics and intelligence capabilities.
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a strong blend of software engineering and data science expertise, with a focus on scalability, performance, and system integration.
Responsibilities:
•Integrate machine learning systems into existing software architectures and enterprise platforms
•Design, build, and optimize data pipelines to support model training and inference
•Develop, test, and deploy machine learning models into production environments
•Manage transition from prototype to production, including deployment pipelines and monitoring solutions
•Monitor model performance, including handling model drift, rollback, and failure scenarios
•Conduct experiments and testing to evaluate and improve model accuracy and performance
•Write clean, maintainable, and testable code in Python and related technologies
•Collaborate with cross-functional teams to integrate ML capabilities into mission systems
•Utilize CI/CD pipelines and GitOps practices to support automated deployment and version control
•Support development in Linux and Windows environments
Required:
•Active TS clearance (with ability to obtain TS/SCI with CI Polygraph)
•Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related technical field
•Minimum 12+ years of overall experience, including 1-3 years working with machine learning frameworks
•Strong programming skills in Python
•Experience with machine learning frameworks, libraries, and data modeling techniques
•Solid understanding of the machine learning lifecycle
•Experience working with SQL and NoSQL databases
•Experience working in Linux and Windows environments
•Familiarity with CI/CD pipelines and Agile development methodologies
•Understanding of software design and system integration principles
Desired:
•Active TS/SCI with CI Polygraph (desired)
•Experience working with large-scale (petabyte-level) datasets
•Experience supporting multi-INT analytics environments
•Experience deploying, monitoring, and scaling machine learning models in production
•Experience with tools such as Docker, Jupyter Notebooks, PostgreSQL, GitLab, and GitHub
•Experience implementing GitOps workflows
•Experience working in secure or classified environment