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Machine Learning Engineer Jobs in Mobile, AL (NOW HIRING)

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

New

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

New

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

New

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

New

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

New

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

New

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration ...

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Machine Learning Engineer information

See Mobile, AL salary details

$31.3K

$127.8K

$192K

How much do machine learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning engineer in Mobile, AL is $127,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $153,800.00 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.

What are the most commonly searched types of Machine Learning Engineer jobs in Mobile, AL? The most popular types of Machine Learning Engineer jobs in Mobile, AL are:
What are popular job titles related to Machine Learning Engineer jobs in Mobile, AL? For Machine Learning Engineer jobs in Mobile, AL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Mobile, AL look for? The top searched job categories for Machine Learning Engineer jobs in Mobile, AL are:
What cities near Mobile, AL are hiring for Machine Learning Engineer jobs? Cities near Mobile, AL with the most Machine Learning Engineer job openings:
ENGINEER SYSTEMS 3

Full-time

Medical, Dental, Vision, Life, Retirement

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Huntington Ingalls Industries rating

7.7

Company rating: 7.7 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

188th of 518 rated manufacturers


Job description

Req ID: 47821
Team: 52 Engineering
Entity: Ingalls Shipbuilding
US Citizenship Required for this Position: Yes
Full-Time
Shift: 1st
Relocation: No relocation assistance available
Virtual/Telework Opportunity: No - Not eligible for telework
Travel Requirement: Yes, 10%-25% of the time
We're building tomorrow's fleet today
With more than 11,000 employees, HII's Ingalls Shipbuilding division is the largest manufacturing employer in Mississippi and a major contributor to the economic growth of Alabama. For nearly 85 years, we've designed, built and maintained amphibious ships, destroyers, and cutters for the U.S. Navy and the U.S. Coast Guard. The largest supplier of U.S. Navy surface combatants, we're simultaneously building four classes of ships and have pioneered the development and production of technologically advanced, highly capable ships for the surface Navy fleet for decades. Think that's cool? Keep reading:
The Role
Performs technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems. Analyses are performed at all levels of total system product to include: concept, design, fabrication, test, installation, operation, maintenance and disposal. Ensures the logical and systematic conversion of customer or product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints. Performs functional analysis, timeline analysis, detail trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications.
Responsible for supporting Systems Engineering efforts for programs of interest. Systems Engineering efforts include but are not limited to: :
o Requirements Management
o System Architecture
o Interface Management
• Assist in Process Improvement efforts on the program
• Assist Ingalls Lead Systems Engineer with initiatives with customers
The role supports the gathering of information from the many disciplines across the program to build and support various tools and processes which show the interrelationships of engineering requirements.
Must Have
5 Years with Bachelor's Degree in related field; 3 years of relevant professional experience with a Master's Degree.
Nice to Have
A Master of Science in Engineering is highly preferred
The preferred candidate should have shipbuilding and technical experience with emphasis in one or more of the following areas:
• Systems Engineering
• Engineering and System Design
• System Architecture and Interface Management
• Requirements Management
Candidate should have the ability to balance and influence multiple competing priorities and individuals. Candidate should have ability to work with different types of supervision and possess skills to coordinate and clearly and effectively communicate and foster effective relationships with internal and external customers.
Excellent organizational, verbal, and written communication skills, as well as, analytical, presentation and human relations' skills are essential.
Why HII
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.
Working at HII is more than a job - it's an opportunity to build a future. We offer comprehensive benefits including: medical, prescription drug, dental and vision plan choices, on-site health centers, tele-medicine, wellness resources, employee assistance programs, savings plan options (401K), financial education and planning tools, life insurance, tuition reimbursement, employee discounts, early childhood and post-secondary education scholarships, and more. Some benefits may vary depending on your specific division or work location.
Together we are working to ensure a future where everyone can be free and thrive.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. U.S. Citizenship may be required for certain positions.
Do You Need Assistance?
If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Additionally, you may also call 1-844-849-8463 for assistance. Press #1 for Ingalls Shipbuilding.

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