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Machine Learning Engineer Jobs in Mississippi (NOW HIRING)

Machine Operator 3 - 2nd shift

Grenada, MS ยท 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 ...

Machine Operator 3 - 2nd shift

Grenada, MS

$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 ...

Python, R, or similar programming languages * Machine learning frameworks (scikit-learn, TensorFlow, PyTorch) * Statistical analysis and modeling * Data visualization tools (Matplotlib, Seaborn ...

Remote Data Scientist

Jackson, MS ยท On-site +1

$149K/yr

Proficiency in programming languages such as Python or R. * Strong understanding of statistical methods and machine learning techniques. * Experience with data visualisation tools such as Tableau or ...

Showing results 41-60

Machine Learning Engineer information

See Mississippi salary details

$29.8K

$122K

$183.3K

How much do machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for 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 a machine learning engineer?

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.

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 Mississippi?

The most popular types of Machine Learning Engineer jobs in Mississippi are:

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

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

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

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

What are popular job titles related to Machine Learning Engineer jobs in MS?

For Machine Learning Engineer jobs in MS, the most frequently searched job titles are:

Infographic showing various Machine Learning Engineer job openings in Mississippi as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,953 per year, or $58.6 per hour.

Machine Operator 3 - 2nd shift

MILWAUKEE TOOL

Grenada, MS โ€ข On-site

$15.50 - $18.50/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago


Job description

GNA Machine Operator 3
Job Description:
INNOVATE WITHOUT BOUNDARIES! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our electrical engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. 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 own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen.
Year after year, our team continues to make significant breakthroughs in the industry. We're just getting started. To learn more about our story click HERE.
You'll be DISRUPTIVE through these duties and responsibilities:
The Machine Operator - Paint is responsible for operating powdercoat (blades) and liquid (holesaw) paint equipment.
Duties and Responsibilities
  • Set up, operate, and shut down paint line
  • Able to work in dust, vapors, etc.
  • Load/unload paint line with product
  • Recognize and react to problems with equipment, make adjustments as required
  • Inspect and verify product according to quality standards
  • Use paint thickness gauge to verify paint thickness
  • Hone turnover belt (powder application)
  • Perform daily Preventative Maintenance (PM) on paint line equipment
  • Inspect, clean, and change out tips on paint guns
  • Perform frequent walk-throughs to ensure equipment is operating properly
  • Change out and add paint as required
  • Check and clean re-claim hoppers
  • Maintain production pace and standards
  • Adhere to all safety requirements in the work area
  • Practice 5Ss

Knowledge, Skills and Abilities
  • Understand and follow verbal and written instructions
  • Basic math skills
  • Basic mechanical skills

We provide these great perks and benefits:
  • Robust health, dental and vision insurance plans.
  • Generous 401 (K) savings plan.
  • Education assistance.
  • On-site wellness, fitness center, food, and coffee service.
  • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.