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Learning Jobs in Alabama (NOW HIRING)

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Learning information

See Alabama salary details

$10K

$76K

$126.9K

How much do learning jobs pay per year?

As of Jul 7, 2026, the average yearly pay for learning in Alabama is $76,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $126,000.00 per year, depending on experience, location, and employer.

What jobs pay 4000 a week without a degree?

High-paying jobs that can reach $4,000 a week without a degree often include roles such as commercial truck drivers, sales managers, real estate brokers, and skilled trades like electricians or plumbers. These positions typically require specialized training, certifications, or experience, and may involve working long hours or in physically demanding environments.

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

To thrive as a Learning and Development Specialist, you need expertise in instructional design, adult learning theory, and training delivery, often supported by a degree in education, HR, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and certifications like CPLP or ATD are commonly required. Strong communication, facilitation, and organizational skills help you connect with learners and manage multiple training projects effectively. These skills ensure engaging, effective training solutions that support employee growth and organizational goals.

What are Learning Specialists?

Learning Specialists are professionals who support students or employees in developing effective learning strategies and overcoming educational challenges. They often work in schools, colleges, or corporate settings, helping individuals with skills such as organization, time management, study techniques, and sometimes addressing learning disabilities. Their goal is to enhance learning outcomes and foster academic or professional growth by tailoring their approach to each individual's needs.

Is there a job that pays you to learn?

Learning roles such as apprenticeships, internships, or trainee positions often pay employees while they acquire new skills and knowledge. These jobs are common in trades, technology, healthcare, and other industries where on-the-job training is essential. Such positions typically require a willingness to learn and may involve certifications or specific training programs.

What is the difference between Learning vs Training?

AspectLearningTraining
FocusGaining knowledge and understandingDeveloping specific skills for tasks
MethodSelf-study, courses, workshopsHands-on practice, instruction sessions
DurationOngoing, flexibleStructured, time-limited
OutcomeKnowledge, awarenessSkill proficiency, performance

Learning involves acquiring broad knowledge and understanding, often through self-directed or formal education. Training focuses on teaching specific skills needed for particular tasks or jobs. While learning is ongoing and flexible, training is usually structured and time-bound. Both are essential in professional development but serve different purposes in the growth of employees and individuals.

What are some common challenges faced by professionals in learning and development roles, and how can they be overcome?

Professionals in learning and development often encounter challenges such as engaging diverse learners, keeping up with rapidly changing technologies, and demonstrating the impact of training initiatives. To address these, it's important to tailor content to different learning styles, leverage new digital tools, and use data-driven approaches to measure effectiveness. Collaborating closely with subject matter experts and stakeholders also helps ensure training is practical and aligned with organizational goals.

What skill pays $100 an hour?

Skills in specialized fields such as software development, data science, cybersecurity, and certain consulting roles can command hourly rates of $100 or more. These positions often require advanced technical expertise, certifications, and experience working with complex tools or systems.

How to make $10,000 a month without a degree?

In the field of learning or education-related roles, earning $10,000 a month without a degree typically involves developing specialized skills such as online teaching, tutoring, content creation, or consulting. Building a strong reputation, leveraging digital platforms, and gaining relevant certifications can help increase income potential in these areas.
What are the most commonly searched types of Learning jobs in Alabama? The most popular types of Learning jobs in Alabama are:
What cities in Alabama are hiring for Learning jobs? Cities in Alabama with the most Learning job openings:
Infographic showing various Learning job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 26% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $76,033 per year, or $36.6 per hour.
MACHINE LEARNING ENGINEER

MACHINE LEARNING ENGINEER

Ignite Fueling Innovation

Huntsville, AL โ€ข On-site

Full-time

Posted 7 days ago


Job description

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is currently seeking a driven, detail-oriented Machine Learning Engineer to join our team supporting the Missiles and Space Intelligence Center in Huntsville, AL.

This position is expected to be on-site. The team will work with technologies including: Open source, commercial, and government software packages such as Docker, Python, Jupyter Notebooks, PostgreSQL, and other tools. Leverage GitOps patterns and CI/CD with tools like GitLab and GitHub.Responsibilities include, but are not limited to: Integrate ML systems with other software components, ensuring that machine learning pipelines work within the overall product architecture

Manage the transition from prototype to production, including setting up model deployment pipelines and monitoring solutions. Construct optimized data pipelines to feed ML models; run tests and experiments and document findings. Monitor model performance post-deployment including managing model drift, rollback, and failure scenarios.

Write clean, testable, maintainable code in Python and other languages. Job Requirements and Qualifications: A minimum of 12 years of work experience, with 1-3 years of experience working with ML frameworks TS/SCI with ability to obtain CI Polygraph after onboarding. Degree in Computer Science, Statistics, Mathematics, Physics or another quantitative field.

1-3 years of experience working with ML frameworks. Programming proficiency in Python and extensive knowledge of ML frameworks, libraries data structures, and data modeling. Solid understanding of the full ML development lifecycle.

Experience working with SQL and NoSQL databases. Experience with both Linux and Windows operating systems. Knowledge of CI/CD and Agile methodologies.

Understanding of software design and system integration. Preferred Qualifications: Experience with petabyte scale data sets Experience with multi-INT analytics Experience deploying, monitoring, and scaling models in production environments Education Requirements: Master's degree in a related field with 12 years of experience or a bachelor's degree in a related field with 17 years of experience. Other Requirements: Must be a US citizen and be able to obtain and hold an active TS/SCI Clearance with CI Polygraph.Responsibilities include, but are not limited to: Integrate ML systems with other software components, ensuring that machine learning pipelines work within the overall product architecture

Manage the transition from prototype to production, including setting up model deployment pipelines and monitoring solutions. Construct optimized data pipelines to feed ML models; run tests and experiments and document findings. Monitor model performance post-deployment including managing model drift, rollback, and failure scenarios.

Write clean, testable, maintainable code in Python and other languages. Job Requirements and Qualifications: A minimum of 12 years of work experience, with 1-3 years of experience working with ML frameworks TS/SCI with ability to obtain CI Polygraph after onboarding. Degree in Computer Science, Statistics, Mathematics, Physics or another quantitative field.

1-3 years of experience working with ML frameworks. Programming proficiency in Python and extensive knowledge of ML frameworks, libraries data structures, and data modeling. Solid understanding of the full ML development lifecycle.

Experience working with SQL and NoSQL databases. Experience with both Linux and Windows operating systems. Knowledge of CI/CD and Agile methodologies.

Understanding of software design and system integration. Preferred Qualifications: Experience with petabyte scale data sets Experience with multi-INT analytics Experience deploying, monitoring, and scaling models in production environments Education Requirements: Master's degree in a related field with 12 years of experience or a bachelor's degree in a related field with 17 years of experience. Other Requirements: Must be a US citizen and be able to obtain and hold an active TS/SCI Clearance with CI Polygraph.