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

CNC Field Service Engineer

Jackson, MS · 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 ...

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 ...

Senior Transformer Engineer

Crystal Springs, MS · On-site +1

$87K - $120K/yr

Engineering & Science Job Schedule: Full time Remote: Yes Senior Transformer Engineer The ... Access to learning platforms and career development programs * Competitive health and retirement ...

Gen AI Engineer Lead

Ridgeland, MS · On-site

$87K - $115K/yr

... learning from human feedback (RLHF) or synthetic data augmentation. Establish model-drift detection ... UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on ...

Engineer I - Sr, Fuels & Core Design (Nuc)

Jackson, MS · On-site

$91K - $125K/yr

... learning culture; and industry best practices are implemented. MINIMUM REQUIREMENTS: Minimum education required of the position: * B.S. degree in Nuclear Engineering, or a closely related discipline ...

Provides engineering support to Area Substation personnel. Performs a wide variety of planning, maintenance, design engineering, project management, construction, and operations activities related to ...

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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 Jul 16, 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 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:
Infographic showing various Machine Learning Engineer job openings in Jackson, MS as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $112,212 per year, or $53.9 per hour.
Azure Solutions Architect and Administrator

Azure Solutions Architect and Administrator

Accord Technologies Inc.

Jackson, MS • On-site

$55.25 - $72/hr

Contractor

Re-posted 14 days ago


Job description

Azure Solutions Architect and Administrator
Location: Jackson, MS
Duration: 1 year
Position type: Contract.

Job Description:

The primary architect for the agency’s Azure cloud initiatives.
The architect will design and oversee the adoption of public cloud solutions, establish strategy and policy for cloud usage, and lead workload migrations from on-premises environments to Azure.
A major component of this effort will be developing and executing plans to transition enterprise systems, including the state payroll system (SPAHRS), currently operating on zLinux mainframes into secure, scalable cloud platforms.
The architect will work closely with DFA’s technical and administrative teams:
ď‚· Develop Azure-based IaaS and PaaS solutions.
ď‚· Implement automation for provisioning, configuration management, and lifecycle tasks.
ď‚· Ensure strong cloud governance, security, and compliance.
ď‚· Integrate hybrid environments and containerized workloads.
ď‚· Provide expertise in Windows Server, Linux, and legacy system migration to guide successful adoption.
 This role is both strategic and hands-on, requiring the ability to design enterprise-level architectures, oversee implementation, and support knowledge transfer so DFA staff can manage and sustain cloud services long term.
 
Mandatory requirements:
ď‚· A four-year degree from an accredited school in Computer Science, Information Technology, or like field.
ď‚· Five (5) years or more of direct and specific experience creating Azure environments and migrating systems and services
from on-prem to the cloud.
ď‚· Five (5) years or more of direct Azure solutions architect experience.
ď‚· Five (5) years or more of DevOps engineering experience.
ď‚· Five (5) years or more of experience driving cloud security, privacy, and compliance decisions.
ď‚· Five (5) years or more network administration skills.
ď‚· Documentation and knowledge transfer experience.
ď‚· Excellent English-speaking skills, written communication skills, and knowledge transfer skills
 Mainframe administration experience, zLinux, Red Hat, Ubuntu, SUSE, AI and machine learning, and application monitoring
 
Skill Set Skill Level
ď‚· Operating Systems
ď‚· Windows Server Advanced Required Versions 2019, 2022, 2025
ď‚· Linux Advanced Preferred zLinux, Red Hat, SUSE
ď‚· Programming Language/Development Tools
ď‚· PowerShell Advanced Preferred
ď‚· Framework/SLD/Methodology
ď‚· Azure Architecture Advanced Required Microsoft Cloud Adoption Framework for Azure
 QA/Testing – Approaches, Application
ď‚· Azure DevOps Advanced Required Azure Test Plans, Pipelines, and Boards