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Machine Learning Engineer Jobs in Huntsville, AL

nou Systems, Inc.

DevOps Engineer

Huntsville, AL · On-site

$52.25 - $71.75/hr

They are seeking a DevOps Engineer to support teams working on advanced AI/ML applications, helping to deploy and standardize machine learning workflows for various projects. Responsibilities : • ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Huntsville, AL

Machine Learning Engineer information

See Huntsville, AL salary details

$31K

$126.9K

$190.7K

How much do machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer in Huntsville, AL is $126,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Huntsville, AL?

The most popular types of Machine Learning Engineer jobs in Huntsville, AL are:

What are popular job titles related to Machine Learning Engineer jobs in Huntsville, AL?

For Machine Learning Engineer jobs in Huntsville, AL, the most frequently searched job titles are:

What cities near Huntsville, AL are hiring for Machine Learning Engineer jobs?

Cities near Huntsville, AL with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Huntsville, AL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,879 per year, or $61 per hour.

Software Engineer (Security Clearance Required)

IERUS Technologies, LLC

Huntsville, AL • On-site

Other

Vision, Retirement

Re-posted 28 days ago

Job description

Job Description
IERUS specializes in technology research, testing, and implementation with core competencies in electromagnetics phenomenology, computational analytics (algorithm acceleration and machine learning), and weapon system engineering. IERUS develops value for our defense and commercial customers through accelerations of the technology life cycle: identifying, creating, transitioning, and producing technologies with integrity of purpose and product. IERUS offers competitive compensation packages, retirement options, and benefits packages. To learn more, please visit ;br>
IERUS participates in projects that address weapon systems engineering and the application of advanced machine learning (ML) and artificial intelligence (AI) techniques as well as RF/Optical hardware prototyping and low rate production. We generally seek to apply agile development fundamentals across our corporate portfolio to accelerate technology development timelines. The end goal being early discovery, accelerated development, and high customer engagement.
Job Description:
The primary responsibilities of this software engineering position include design, development, test and delivery of software with potential applications including tactical decision aids, radar software, flight software, and physics-based model development. Other general application areas include modeling, simulation, frameworks, and the transition and deployment of advanced technology algorithms .Positions available ranging from junior software engineers to senior software engineers.
Required Qualifications:
  • Bachelor of Science in Software Engineering, Computer Engineering, Computer Science or related field;
  • All levels of experience in software engineering and development including design, development & test;
  • Experience in various software languages including C, C++, python, etc.;
  • Active DoD Secret clearance;

Desired Qualifications:
  • Battle management software experience;
  • Experience in numerical methods;
  • Solid communication skills with the ability to translate complex technical ideas into understandable, actionable information for customers.

Location: Huntsville, AL
IERUS Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.
IERUS Technologies participates in E-Verify.

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