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Machine Learning Engineer Jobs in Huntsville, AL

Lockheed Martin

AI/ML Engineer

Huntsville, AL

As an A/AI Machine Learning Engineer, you will: Engage with technical users to identify opportunities to drive use cases for AI/ML Create innovative solutions to complex analysis requirements Develop ...

Varsity Tutors

Machine Learning Tutor

Huntsville, AL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Machine Learning Engineer Schedule: Full-time Shift: Day Job Travel: Yes, 10 % of the Time Minimum Clearance Required: Interim Secret Clearance Level Must Be Able to Obtain: Secret Potential for ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Machine Learning Engineer Schedule:Full-time Shift:Day Job Travel:Yes, 10 % of the Time Minimum Clearance Required:Interim Secret Clearance Level Must Be Able to Obtain:Secret Potential for Remote ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL

Machine Learning Engineer Schedule:Full-time Shift:Day Job Travel:Yes, 10 % of the Time Minimum Clearance Required:Interim Secret Clearance Level Must Be Able to Obtain:Secret Potential for Remote ...

Lockheed Martin

AI/ML Engineer

Huntsville, AL · On-site

$89K - $157K/yr

As an A/AI Machine Learning Engineer, you will: • Engage with technical users to identify opportunities to drive use cases for AI/ML • Create innovative solutions to complex analysis requirements ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL

Our team provides superior research, development, and engineering services to the Federal ... Design, develop, and deploy machine learning models to support mission-critical objectives.

Nou Systems Inc

DevOps Engineer

Huntsville, AL · On-site

$120K - $165K/yr

You will help deploy, scale, and standardize machine learning development workflows in support of ... s Engineer, you will help architect, implement, and maintain modern ML development pipelines. You ...

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

Machine Learning Engineer information

See Huntsville, AL salary details

$31.2K

$127.7K

$191.9K

How much do machine learning engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for machine learning engineer in Huntsville, AL is $127,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 job categories do people searching Machine Learning Engineer jobs in Huntsville, AL look for? The top searched job categories for Machine Learning Engineer jobs in Huntsville, AL 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 June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,672 per year, or $61.4 per hour.
Sr. Data Scientist/Machine Learning Engineer - Huntsville, Alabama

Sr. Data Scientist/Machine Learning Engineer - Huntsville, Alabama

Davidson Technologies, Inc.

Huntsville, AL • On-site

$180K - $206K/yr

Full-time

Posted 26 days ago

Job description

Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation.
Davidson is seeking a Senior Data Scientist/Machine Learning Engineer in Huntsville, Alabama to design, build, and deploy ML systems to control and optimize VLF transmissions. Using your experience with applied ML, real-time systems, and physical domain modeling, you will work closely with RF engineers, software engineers, and end customers to develop an intelligent Al/ML stack that monitors environmental conditions, predicts signal propagation impacts, and supports dynamic adjustments of transmission parameters to maintain signal stability and performance. You will take models from concept through production deployment (MLOps) and ensure they operate reliably in mission-critical environments.
*Contingent Upon Award*
Job Responsibilities:
  • Develop ML models to leverage weather and environmental data feeds for disaster event prediction
  • Build predictive models to improve preventative maintenance capabilities
  • Help to integrate models into decisions systems that optimize transmission system operations and performance
  • Translate model outputs into actionable, explainable recommendations
  • Collaborate with engineering team (RF, Systems, Software) to deploy models into real-time production systems
  • End-to-end ML lifecycle management using MLOps best practices
  • Communicate complex technical concepts clearly to engineers and customers
  • Contribute to system architecture decisions for scalable/reliable Al/ML solutions

Job Requirements:
  • Bachelor's degree or higher in Data Science, Computer Science, Engineering, Physics or related field
  • 8+ years of experience in applied data science or machine learning roles
  • Strong foundation in machine learning and statistical modeling
  • Demonstrable experience translating stakeholder requirements into technical ML strategies that deliver tangible customer value
  • Hands-on experience deploying ML models into production environments
  • Practical experience with MLOps (model pipelines, monitoring, reproducibility)
  • Must be a U.S. citizen

Preferred Qualifications:
  • Familiarity with RF systems, signal propagation, or electromagnetic modeling
  • Familiarity with surrogate modeling of physics-based systems, such as weather
  • Familiarity with predictive maintenance (CBM+)
  • Experience integrating ML into real-time systems

Clearance:
  • Currently holds an Active DoD Secret Clearance or is able to obtain a Secret Clearance

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