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Machine Learning Engineer Starting Jobs in Alabama

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MACHINE LEARNING ENGINEER

Huntsville, AL · On-site

Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...

Bespoke Labs

Machine Learning Engineer

Tuscaloosa, AL · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Mobile, AL · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Birmingham, AL · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Montgomery, AL · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Huntsville, AL · On-site

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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Machine Learning Engineer Starting information

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$28.6K

$116.7K

$175.4K

How much do machine learning engineer starting jobs pay per year?

As of Jul 20, 2026, the average yearly pay for machine learning engineer starting in Alabama is $116,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $140,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced machine learning engineers working in top tech companies or specialized fields can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in deep learning, large-scale data processing, and proficiency with tools like TensorFlow or PyTorch, along with significant industry experience and a strong track record of impactful projects.

Which 3 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, focusing on developing and refining AI models. Other resilient roles include data scientists, who interpret complex data, and cybersecurity professionals, who protect systems from evolving threats. These jobs require specialized skills and adapt to technological changes, making them more resistant to automation.

What are entry-level AI/ML jobs?

Entry-level AI/ML jobs typically include roles such as Junior Machine Learning Engineer, Data Analyst, or AI Research Assistant. These positions often require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks such as TensorFlow or PyTorch, and a relevant degree or certification. They offer opportunities to gain practical experience in model development, data preprocessing, and deploying AI solutions.

What jobs should I get before getting into machine learning engineer?

Entry-level roles such as data analyst, software developer, or research assistant can provide relevant experience for aspiring machine learning engineers. Gaining skills in programming languages like Python or R, understanding data manipulation, and working with tools like SQL and machine learning frameworks are valuable steps before transitioning into a machine learning engineer role.
Machine Learning Engineer Starting jobs near you

Machine Learning Engineer with Security Clearance

Waypoint Human Capital

Huntsville, AL • On-site

Other

Re-posted 20 days ago

Job description

Waypoint Human Capital Machine Learning Engineer Huntsville, AL 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

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