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Machine Learning Engineer Jobs in Jackson, MS (NOW HIRING)

TSMG

AI/ML Data Contributor

Jackson, MS ยท On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Jackson, MS ยท On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Ellison Technologies

CNC Field Service Engineer

Jackson, MS ยท On-site

$30 - $55/hr

... Learning Are you "energized" by working on sophisticated CNC machinery. Is being a problem solver ... If so I hope to connect regarding our CNC Field Service Engineer position. In this role, you will ...

Vergent LMS

Software Support Analyst

Ridgeland, MS ยท On-site

Company Description Vergent LMS engineers a market-leading SaaS lending platform that empowers ... machine learning capabilities. With talented employees nationwide and offices in Ridgeland ...

Vergent LMS

Software Support Analyst

Ridgeland, MS ยท On-site

Company Description Vergent LMS engineers a market-leading SaaS lending platform that empowers ... machine learning capabilities. With talented employees nationwide and offices in Ridgeland ...

Ryder System, Inc.

Senior Director AI Security

Jackson, MS ยท On-site

$150 - $200/hr

... machine learning platforms, autonomous systems, and emerging AI capabilities. This role partners ... Partner with technology, architecture, engineering, legal, privacy, procurement, and business ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Jackson, MS

Machine Learning Engineer information

See Jackson, MS salary details

$27.4K

$112.2K

$168.6K

How much do machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning engineer in Jackson, MS is $112,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,400.00 and $135,100.00 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 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 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 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.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Jackson, MS?

The most popular types of Machine Learning Engineer jobs in Jackson, MS are:

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

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

What job categories do people searching Machine Learning Engineer jobs in Jackson, MS look for?

The top searched job categories for Machine Learning Engineer jobs in Jackson, MS are:

What cities near Jackson, MS are hiring for Machine Learning Engineer jobs?

Cities near Jackson, MS with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Jackson, MS as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $112,212 per year, or $53.9 per hour.

AI/ML Data Contributor

TSMG

Jackson, MS โ€ข On-site

Full-time

Re-posted 11 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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