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Machine Learning Engineer Jobs in Mississippi (NOW HIRING)

Integer

Machine Learning Engineer

Gulfport, MS · On-site

About the role Integer Technologies is seeking a Machine Learning Engineer to develop, optimize, and deploy AI/ML methods that power perception and autonomy for maritime platforms. This role sits at ...

Bespoke Labs

Machine Learning Engineer

Tupelo, MS · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Southaven, MS · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Jackson, MS · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Gulfport, MS · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Meridian, MS · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Biloxi, MS · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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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.

More about Machine Learning Engineer jobs

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

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

Machine Learning Engineer jobs near you
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 Learning Engineer

Integer

Gulfport, MS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Integer Holdings rating

7.4

Company rating: 7.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

295th of 539 rated manufacturers

Job description

About the role
Integer Technologies is seeking a Machine Learning Engineer to develop, optimize, and deploy AI/ML methods that power perception and autonomy for maritime platforms. This role sits at the intersection of data science and software engineering: you will design models that turn raw maritime sensor data into reliable detection, classification, and situational awareness, and you will be responsible for integrating those models into production software that runs on the edge. Candidates must be U.S. citizens, eligible for a DoD security clearance, and capable of working across multidisciplinary teams to deliver scalable, maintainable, and mission-ready systems. Experience in maritime autonomy, sensor fusion, and distributed systems is highly desirable
What you'll do
  • Model Development: Design, train, and evaluate machine learning and deep learning models for detection, classification, segmentation, tracking, and signal analysis using maritime sensor data, with particular emphasis on sonar and other maritime sensors.
  • Sensor Data & Fusion: Develop methods to process, fuse, and exploit heterogeneous sensor streams (sonar, magnetics, IMU, etc.) to produce robust perception in challenging maritime conditions.
  • Edge Deployment: Optimize and deploy models for real-time inference on size, weight, and power constrained edge compute, applying techniques such as quantization, pruning, distillation, and hardware acceleration (e.g., GPU/CUDA, TensorRT, embedded accelerators).
  • Software Integration: Integrate ML components into production software and autonomy pipelines, ensuring reliable interfaces with sensors, middleware, and downstream systems; write well-tested, maintainable code under version control.
  • Data Pipelines & Tooling: Build pipelines and tooling for data ingestion, labeling, augmentation, and the creation of training and validation datasets that reflect real operational environments.
  • Research & Innovation: Stay current with advances in AI/ML and signal processing, and identify opportunities to extend perception and autonomy capabilities based on evolving mission requirements
  • Collaboration & Mentorship: Work across multidisciplinary teams and external partners, and contribute to a culture of technical excellence, knowledge sharing, and development best practices

Qualifications
  • Must be a U.S. Citizen with the ability to obtain and maintain a U.S. DoD Secret Clearance.
  • Bachelor's degree in relevant fields (e.g., data science, computer science, computer engineering, electrical engineering, mechanical engineering, or other related field) and 7+ years of experience relevant to primary responsibilities outlined above.

OR
  • Master's degree in relevant field (e.g., data science, computer science, computer engineering, electrical engineering, mechanical engineering, or other related field) and 5+ years of experience relevant to primary responsibilities outlined above.
  • Strong proficiency in modern programming languages (e.g., C++, Python) and common ML frameworks (e.g., PyTorch or TensorFlow), with solid software engineering fundamentals and experience using Git
  • Demonstrated experience taking ML models from prototype to integrated software
  • Solid foundation in the mathematics underpinning ML, including linear algebra, probability and statistics, and signal processing.
  • Experience working with real sensor data and an understanding of the challenges of noisy, real-world signals.
  • Excellent written and oral communication skills, and the ability to collaborate effectively across disciplines.

Additional Desired Qualifications
  • Ph.D. in relevant field (e.g., data science, computer science, computer engineering, electrical engineering, mechanical engineering, or other related field)
  • Experience developing robotic or autonomous systems, using data from various perception sensor types (sonar, magnetic, cameras, lidar, etc.) to enhance a robotic platform's perception of its surrounding environmental and potential navigational hazards
  • Experience with unmanned and autonomous systems research involving maritime autonomous systems such as uncrewed surface vessels and uncrewed underwater vessels.
  • Experience with edge processing
  • Understanding of the Navy and Department of Defense's mission, problem set, and strategy for the integration of autonomous systems.

About Integer Technologies
Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs... at the speed of relevance.
Company Benefits
  • Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Meaning, Integer standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving its employees thousands of dollars annually.
  • Relocation assistance available.
  • Base salaries which exceed local & national industry averages.
  • Year-end performance-based bonuses.
  • 401(k) with company matching that vest immediately; no funny business.
  • Paid Vacation
  • Paid Sick Leave
  • Paid Holidays

Company Perks
  • Startup culture with the stability of a large company. Integer's business plan has years of time phased contracted work, alleviating the would-be risk from a traditional small company.
  • Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth.
  • Friendly atmosphere where people enjoy not only their work and what they're creating but enjoy helping each other as well.
  • Waterfront office view!

What Integer Holdings employees say

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