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Machine Learning Engineer Opt Jobs in Long Beach, MS

ENGINEER INDUSTRIAL 1-Pascagoula,Mississippi

Ocean Springs, MS

$55K - $74K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

ENGINEER INDUSTRIAL 1-Pascagoula,Mississippi

Ocean Springs, MS · On-site

$55K - $74K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

Manufacturing Engineer

Mchenry, MS · On-site

$60 - $65/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Personal experience physically manufacturing hardware via any means (machining, fabrication ... A genuine interest in manufacturing and thirst for learning Our client is a leading Aerospace ...

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

HEAVY DUTY MECHANIC-Pascagoula,Mississippi

Ocean Springs, MS

$18.75 - $25.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

Showing results 21-40

Machine Learning Engineer Opt information

See Long Beach, MS salary details

$31.2K

$127.7K

$191.9K

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

As of Aug 15, 2026, the average yearly pay for machine learning engineer opt in Long Beach, MS is $127,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $153,700.00 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 into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What cities near Long Beach, MS are hiring for Machine Learning Engineer Opt jobs?

Cities near Long Beach, MS with the most Machine Learning Engineer Opt job openings:

ENGINEER ELECTRICAL 4-Pascagoula,Mississippi

HII

Ocean Springs, MS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


Huntington Ingalls Industries rating

7.5

Company rating: 7.5 out of 10

Huntington Ingalls Industries

Based on 147 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,399 frontline employees who took The Breakroom Quiz


Job description

ENGINEER ELECTRICAL 4
Location:
Pascagoula, Mississippi, United States
Date: Aug 4, 2026
Req ID: 47950
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
Researches, develops, designs, and tests electrical components, equipment, systems, and networks. Designs electrical equipment, facilities, components, products, and systems for commercial, industrial, and domestic purposes. This position will support the Frigate Ship Design Team and will report to the Frigate Ship Design Manager. The position requires the ability to provide broad program technical direction and report on the associated engineering efforts. Significant interaction with program management and customer organizations supporting the Frigate execution is expected. Requires a broad grasp of the Frigate program and ship design issues and related practices and procedures. Advanced level of understanding in a specialized field or general understanding of several diverse disciplines is necessary. Assure technical adequacy, accuracy, and quality of engineering products developed. Supports the review of engineering products developed under area of responsibility. Act as an advisor to the SDM to meet schedules or resolve technical or operational problems.
Must Have
9 Years with Bachelor of Science degree in related field; 7 years of relevant professional experience with a Master's Degree; 4 years of relevant professional experience with a PhD.
Nice to Have
A MS in Engineering and/or professional registration with 6 years of relevant experience are preferred.
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.

Working at Huntington Ingalls Industries

About Huntington Ingalls Industries, in their own words

From Huntington Ingalls Industries

Our 44,000-strong team includes skilled tradespeople; artificial intelligence and machine learning experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large employers, we are a values and ethics driven organization that puts people's safety and well-being first. Here you'll find a collaborative environment, competitive benefits, and valuable educational and training programs that span our shipbuilding apprentice schools in Virginia and Mississippi to tuition reimbursement programs that support continual career growth at every stage of your career.

Our values of integrity, safety, respect, engagement, responsibility and performance are the foundation of HII's ethical culture that inspires employees to do the right thing each day, regardless of the circumstances.


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