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Machine Learning Engineer Jobs in Huntsville, AL

Guidehouse

AI / Data Engineer

Huntsville, AL · On-site

$112K - $135K/yr

The AI Engineer will work closely with functional SMEs, architects, data scientists, product ... Build orchestration workflows that connect foundation models, machine learning services, tools ...

PZI International

Software Engineer

Huntsville, AL · On-site

Neural networks, artificial intelligence (AI) or machine learning (ML) * Product development and transition experience * Image processing (OpenCV, CUDA) * FPGA programming * Systems integration or ...

Blue Origin

Software & AI Engineer III

Huntsville, AL · On-site

$57 - $76.50/hr

... with machine learning models, deep learning, and large language models • Develop and maintain ... driven engineering environment. Company : Blue Origin is an aerospace company that focuses on ...

ECS

Sr. Databricks Solutions Architect

Huntsville, AL · On-site

Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning workloads. * Develop scalable ETL/ELT pipelines ...

Missile Defense Agency

General Engineer

Redstone Arsenal, AL · On-site +1

$129K - $197K/yr

... machine learning. * Identify and resolve highly complex problems crossing organizational boundaries and promulgate solutions. * In cooperation with coworkers, identify needs of internal and external ...

Leidos

Aerospace Engineer

Huntsville, AL

$87K - $157K/yr

You will work to solve complex engineering problems with a highly technical, multidisciplinary team ... Understanding of machine learning basics, supervised learning, reinforcement learning, and ...

Anduril Industries

Software Engineer

Huntsville, AL · On-site

... • Machine learning: supervised and unsupervised learning, clustering, and classification; • Applied mathematics: differential equations, linear algebra, optimization, statistics, and random ...

Leidos

Navigation and Autonomy Engineer

Huntsville, AL · On-site

$69K - $125K/yr

Machine learning approaches for all of the above * Development is performed primarily in MATLAB ... Bachelor's degree in computer engineering, Electrical Engineering, Computer Science, Aerospace ...

Leidos

Navigation and Autonomy Engineer

Huntsville, AL · On-site

$69K - $125K/yr

Machine learning approaches for all of the above * Development is performed primarily in MATLAB ... Bachelor's degree in computer engineering, Electrical Engineering, Computer Science, Aerospace ...

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

Machine Learning Engineer information

See Huntsville, AL salary details

$29.3K

$120K

$180.3K

How much do machine learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for machine learning engineer in Huntsville, AL is $119,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

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-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies 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 they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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 97% Full Time, and 3% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,976 per year, or $57.7 per hour.
Systems Engineer - Modeling and Algorithms

Systems Engineer - Modeling and Algorithms

WILLCOR Inc

Huntsville, AL

Other

Posted 8 days ago

Job description

Job Title:Systems Engineer - Modeling and Algorithms
Location:Huntsville, Alabama
Clearance: Secret
Salary:Negotiable
Job Overview:
The Systems Engineer Modeling and Algorithms will be responsible for overseeing and actively contributing to high-visibility design projects and digital simulation testing.
Key Responsibilities:
  • Conduct research on design, testing, and the application of software and data processing algorithms in ASE products.
  • Collaborate with vendors to review algorithm design, implementation, and testability.
  • Provide constructive feedback to vendors regarding algorithm design and implementation.
  • Serve as a liaison with external Subject Matter Experts to assess algorithm performance.
  • Execute Digital System Models (DSM) and other simulations to evaluate system capabilities and performance.
  • Support validation and verification of performance requirements using DSM and other modeling tools.
  • Work closely with the test team to analyze and validate field data through DSM and simulations.
  • Design, develop, and modify software systems by applying scientific analysis and mathematical models to predict and measure design outcomes.
  • Review vendor algorithm designs and associated deliverables.
  • Create, maintain, and review Algorithm Description Documentation (ADD).
  • Develop scripts and tools to automate or enhance testing processes, including modifications to DSM or other test tools.
  • Understand and implement machine learning (ML) concepts, methodologies, and technologies.
Required Qualifications:
  • Bachelor's degree with 12+ years of experience, Master's degree with 10+ years of experience, or a Ph.D. with 7+ years of experience
  • Proficiency in creating, executing, and utilizing DSMs or simulations for system performance modeling.
  • In-depth knowledge of machine learning (ML) methodologies and their implementation.
  • Ability to work effectively in a dynamic team environment while managing multiple priority tasks.
  • Proficiency in Microsoft Office applications.
  • Strong programming skills in C, C++, and Python.
  • Ability to work regularly from the customer facility.
Preferred Qualifications:
  • Experience working in a DoD acquisition project management office is advantageous.
  • Experience with software or systems design for DoD systems.
  • A background in modeling, simulation, algorithm design, testing, data science/analysis, or machine learning is highly desirable.
This role offers a unique opportunity to engage with cutting-edge technology and collaborate with industry experts on high-impact projects in a dynamic environment.
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About WILLCOR

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

College Park, MD, US

Year founded

2002

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