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Artificial Intelligence Machine Learning Engineer Jobs in Mississippi

AIToolboard

Senior Data Scientist

Laurel, MS · On-site

$110 - $150/hr

We need talented engineers, scientists, and developers with curiosity and a drive for learning!As a member of our team, you will... * Apply expertise in artificial intelligence, machine learning ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Quora

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Eisneramper Llp

AI Consulting Manager

Hattiesburg, MS · On-site

... artificial intelligence, machine learning, and emerging technologies to solve complex business ... Collaborate closely with engineering, data, and cross-functional teams to ensure successful ...

MILWAUKEE TOOL

Machine Operator 3 - 3rd shift

Grenada, MS · On-site

$15.50 - $18.50/hr

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Mississippi

Artificial Intelligence Machine Learning Engineer information

See Mississippi salary details

$29.8K

$122K

$183.3K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for artificial intelligence machine learning engineer in Mississippi is $121,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $146,800.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Mississippi?

For Artificial Intelligence Machine Learning Engineer jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Mississippi look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Mississippi are:

What cities in Mississippi are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in Mississippi with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Mississippi as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $121,953 per year, or $58.6 per hour.

Senior Data Scientist

AIToolboard

Laurel, MS • On-site

$110 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Johns Hopkins Applied Physics Laboratory Laurel, US

Full-time

About the Role

DescriptionAre you passionate about building solutions for our greatest national security challenges?Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development?Do you value working in a creative and collaborative environment?If so, we're looking for someone like you to join our team at APL.The Threat Analytic Systems (QAI) Group is seeking talented team members who will help provide our nation with ground-breaking capabilities that bridge the gaps between data, the latest developments in technology, and real-world impact of national importance. We need talented engineers, scientists, and developers with curiosity and a drive for learning!As a member of our team, you will…

  • Apply expertise in artificial intelligence, machine learning, statistical analysis, and/or software development to solve challenging data analysis problems for our sponsors
  • Research, develop, evaluate, and deploy innovative techniques and technologies in the fields of data science and artificial intelligence
  • Develop prototype software to gather, process, and analyze intelligence data from various sources
  • Effectively communicate ideas and results through papers and presentations to technical staff, management, and government decision makers

QualificationsYou’ll meet our minimum requirements if you have…

  • A Master’s or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or related engineering field
  • Experience with artificial intelligence, machine learning, and statistical analysis
  • Proven track record in designing and developing algorithms and implementing systems for solving interdisciplinary problems
  • Hands-on experience with Python
  • Comfort working with loosely defined or high-level requirements
  • Ability to work on and set priorities for multiple dynamic projects, independently or within a team, to support evolving national security requirements
  • Strong problem solving, analytical, and organizational skills
  • Demonstrated initiative
  • Excellent written and verbal communication skills
  • Have the ability to obtain a TS/SCI+poly level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you have…

  • Experience with project management and/or leading technical teams
About Us

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistanc

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