1

Machine Learning Engineer Opt Jobs in Ocean Springs, MS

Experience with Machine Learning Algorithm development and Python Programming, along with associated Data Analytic skills specific to process automation; Proficient knowledge of and ability to ...

Experience with Machine Learning Algorithm development and Python Programming, along with associated Data Analytic skills specific to process automation; Proficient knowledge of and ability to ...

Experience with Machine Learning Algorithm development and Python Programming, along with associated Data Analytic skills specific to process automation; Proficient knowledge of and ability to ...

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 ...

next page

Showing results 1-20

Machine Learning Engineer Opt information

See Ocean Springs, MS salary details

$24.8K

$101.4K

$152.4K

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

As of Jul 4, 2026, the average yearly pay for machine learning engineer opt in Ocean Springs, MS is $101,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $122,100.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

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 job categories do people searching Machine Learning Engineer Opt jobs in Ocean Springs, MS look for? The top searched job categories for Machine Learning Engineer Opt jobs in Ocean Springs, MS are:
What cities near Ocean Springs, MS are hiring for Machine Learning Engineer Opt jobs? Cities near Ocean Springs, MS with the most Machine Learning Engineer Opt job openings:
ENGINEER MECHANICAL 3

ENGINEER MECHANICAL 3

HII

Pascagoula, MS

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Huntington Ingalls Industries rating

7.7

Company rating: 7.7 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

190th of 527 rated manufacturers


Job description

ENGINEER MECHANICAL 3
Location:
Pascagoula, Mississippi, United States
Date: Jun 25, 2026
Req ID: 48016
Team: 57 Research and Development
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: No
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, plans, designs and develops mechanical products such as instruments, controls, robots, engines, machines.
Researches, plans, designs and develops mechanical systems such as thermal hydraulic or heat transfer systems for production, transmission, measurement, and use of energy.
Applies research to the planning, design, development, and testing of mechanical and/or electromechanical systems, instruments, controls, engines, and/or machines.
Analyzes, researches, and develops manufacturing/technology solutions for various processes for Shipbuilding Operations. Performs as Technical Lead on various Research and Development efforts to accomplish technology insertion.
Must Have
Bachelor of Science degree in Engineering from an ABET accredited university and 5 years of experience
-or-
Master of Science degree in Engineering from an ABET accredited university and 3 years of experience
-or
PHD in Engineering from an ABET accredited university and 0 year of experience
Nice to Have
Shipbuilding experience and clear understanding of US Navy vessels and requirements; Project Management experience; Strong presentation skills; Experience with Machine Learning Algorithm development and Python Programming, along with associated Data Analytic skills specific to process automation; Proficient knowledge of and ability to navigate Femap and Abaqus software, along with similar tools for structural FEA analyses; Ability to develop and manage to budgets and schedules of individual Project tasks; Strong critical thinking skills; ability to "think outside the box" to develop innovative solutions to problem statements; Proficient understanding of shipbuilding processes; Self-starter and motivated to problem-solve with ability to manage projects with little supervision from manager;
Comfortable working alone but also in a team environment where cross collaboration is critical to task execution.
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.

What Huntington Ingalls Industries employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom