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Remote Full Stack Machine Learning Engineer Jobs in Jackson, MS

Hitachi

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 ...

Accord Technologies Inc.

Senior Azure Engineer

Jackson, MS · Remote

$111K - $151K/yr

Jackson, MS (Remote) Job Type: long term contract The Senior Azure Engineer is a strategic ... Build, maintain, and optimize CI/CD pipelines in Azure DevOps for deploying IaC , managing the full ...

Confluent

Head of Product Led Growth Marketing

Jackson, MS · On-site +1

$282K - $339K/yr

Remote, United States Employment Type: FullTime Location Type: Remote Department Product ... You and your team will collaborate across Product, Marketing, Sales, Data Science, and Engineering ...

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Remote Full Stack Machine Learning Engineer information

See Jackson, MS salary details

$38.8K

$117.4K

$166K

How much do remote full stack machine learning engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote full stack machine learning engineer in Jackson, MS is $117,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $137,700.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Jackson, MS look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Jackson, MS are:
Remote Full Stack Machine Learning Engineer jobs near you
Hiring Now - Data Scientist/Developer

Hiring Now - Data Scientist/Developer

InstantServe LLC

Jackson, MS • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

Job Title:Data Scientist/Developer
Location: Jackson, MS
Job Description:
The Data Scientist/Developer will be responsible for supporting the development, implementation, and testing of statistical models, integration of NLP, and refinement and testing of the prototype. The data scientist will work closely
with State stakeholders and technical team members to ensure the quality of the results and that the derived methods are transparent, statistically sound, relevant, and documented.
Required Skills/Experience
• Bachelor's or Master's degree in computer science, engineering, physics, or related field.
• Have participated in US Federal Gov't data science programs requiring TS/SCI clearance, delivering solutions requiring the combination of geospatial disciplines, and pattern of life analysis.
• Proven expertise custom developing AI programs "from the ground up", including but not limited to, text processing, and optimized selection and application of multiple LLMs.
• Minimum two (2) years of experience designing and implementing machine-learning solutions based on first principles, including developing custom statistical methods without reliance on pre-built libraries.
• Minimum academic math background to include full calculus series, linear algebra, and statistics. Discrete math, advanced statistics, and differential equations are a plus.
• Knowledge and competence in databases such as Postgres, MySQL, SQL Server, as well as Python, C++, JAVA, React, NextJS, NodeJS, and AWS.
• Experience deploying analytic models in pilot or AWS production environments.
• Good communication skills with both technical and non-technical people.
• Strong understanding of model validation and performance measurement.
• Experience deploying advanced analytic solutions in public-sector or regulated environments.
InstantServe logo

About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

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