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Senior Machine Learning Engineer Jobs in Jackson, MS

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

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

Engineering & Science Job Schedule: Full time Remote: Yes The opportunity As a Senior Field Service ... Employee Resource Groups (depending on location), tuition reimbursement, and on demand learning ...

Dishwasher

Ridgeland, MS

$10.75 - $14/hr

About Arvum Senior Living Arvum Senior Living proudly manages Assisted Living and Memory Care ... We continually aspire and invest in learning and development opportunities that support our team ...

Dishwasher

Ridgeland, MS ยท On-site

$10.75 - $14/hr

About Arvum Senior Living Arvum Senior Living proudly manages Assisted Living and Memory Care ... We continually aspire and invest in learning and development opportunities that support our team ...

Dishwasher

Ridgeland, MS

$10.75 - $14/hr

About Arvum Senior Living Arvum Senior Living proudly manages Assisted Living and Memory Care ... We continually aspire and invest in learning and development opportunities that support our team ...

Dishwasher

Ridgeland, MS ยท On-site

$10.75 - $14/hr

About Arvum Senior Living Arvum Senior Living proudly manages Assisted Living and Memory Care ... We continually aspire and invest in learning and development opportunities that support our team ...

Showing results 41-60

Senior Machine Learning Engineer information

See Jackson, MS salary details

$51.9K

$110.3K

$159.9K

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

As of Aug 8, 2026, the average yearly pay for senior machine learning engineer in Jackson, MS is $110,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $125,000.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Senior Machine Learning Engineer jobs in Jackson, MS look for? The top searched job categories for Senior Machine Learning Engineer jobs in Jackson, MS are:
What cities near Jackson, MS are hiring for Senior Machine Learning Engineer jobs? Cities near Jackson, MS with the most Senior Machine Learning Engineer job openings:

Software Support Analyst

Vergent LMS

Ridgeland, MS โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago


Job description

Company Description

Vergent LMS engineers a market-leading SaaS lending platform that empowers lenders to manage their retail and online lending operations through a sophisticated software suite featuring data-rich dashboards and enhanced analytical reporting, powered by its AI and machine learning capabilities. With talented employees nationwide and offices in Ridgeland, Mississippi and Plano, Texas, Vergent LMS is one of Americaโ€™s fastest-growing privately held companies and has been listed on the Inc. 5000 list for seven years. From small business startups to enterprise-scale corporations, Vergent's innovative technology solutions power the lending operations of a diverse portfolio of clients located in the US, Canada, and Central America.

At Vergent LMS, we take our work seriously, but we don't take ourselves very seriously, with employee recognition, frequent company-supported events, and a company culture that is second to none. If you're passionate about what you do, but you want to be a part of a company that values it's employees and has built a culture around the concept of "work-life balance," then Vergent LMS is your career destination.

Introduction

As an Application Support Analyst, you will join a dedicated team of customer support professionals responsible for the initial review, troubleshooting and testing of all client support requests. This role requires the ability to provide critical, real-time analysis and problem-solving solutions to our software clients by asking applicable questions and retracing the steps and processes utilized by the customer to identify the potential cause of their reported problem. Once the problem is determined, the analyst may decide if collaboration with other quality assurance and software development teams is necessary to provide the optimal solution. Your responsibilities will include developing an intimate knowledge of the features, functionality, and security of our industry-leading loan management software in addition to maintaining an ongoing awareness of over 60+ external connections to vendor partner software products which expand our software's capabilities.

Essential Functions

  • Take ownership of incoming issues/requests from customers with a sense of urgency.
  • Must be capable of troubleshooting the cause of a reported problem by walking through the client's steps leading up to the problem, reproducing the reported problem within Vergent's software test environment, and finally, documenting (in detail) the steps taken, including the course of action taken to resolve the problem.
  • Must possess strong communication and critical thinking skills and be able to ask the correct questions necessary for testing a reported problem and providing a potential solution.
  • Must be willing and able to stay abreast of new company software and updates.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

Competencies

  • Ability to take initiative related to the software and its updates
  • Document configuration and editing experience
  • Proficiency in Adobe Acrobat
  • Strong time management skills
  • Intensive customer Focus
  • Problem Solving and Analysis
  • Product Knowledge
  • Quality Focus
  • Collaborative team building
  • Active Listening
  • Multi-tasking
  • Must be punctual and able to work the established hours
  • 2 or more years of experience as a software support analyst

Work Environment

This job operates in a casual office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

Company Benefits

  • Employee Recognition Program
  • Flexible Schedules
  • Casual Dress Code
  • Health Insurance
  • Dental/Vision
  • Parental Leave
  • 401K & 401K Matching
  • Long-Term Disability (100% covered)
  • Life Insurance (100% covered)
  • Supplemental Insurance
  • Coffee and Snacks Provided