Machine Learning Engineer

Garden Life Dev; Goldsboro (NC); Hybrid; USD 58,000 - 101,000; Full time

Job summary

Garden Life Development is seeking a Machine Learning Engineer for a full-time temporary role in North Carolina. You will move models from experiment to production, prepare data, build and tune models, deploy them reliably, and maintain performance.

You will work with TensorFlow, PyTorch, and scikit-learn, with on-site, hybrid, or remote options depending on the assignment. A bachelor’s degree is required; prior ML or software experience is encouraged.

Qualifications

• Experience in ML engineering or software engineering with ML.
• Proficiency in Python and ML frameworks (PyTorch or TensorFlow) and containerization.
• Bachelor's degree in a related field or equivalent education and experience; degrees and certifications verified.

Responsibilities

• Implement and optimize machine learning models for business problems.
• Gather requirements and design data-driven solutions with cross-functional teams.
• Prepare and analyze large datasets for quality and relevance.
• Select and apply algorithms and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Deploy models into production and integrate with existing systems.
• Monitor model performance and retrain or fine-tune as needed.
• Document workflows and processes so results can be reproduced.

Skills

Experience in ML engineering or ML for

Python

PyTorch

TensorFlow

Containerization

Education

Bachelor's degree in a related field

Tools

Python

PyTorch

TensorFlow

scikit-learn

MLflow

Docker

Job description

Goldsboro, United States | Posted on 10/10/2026

Machine Learning Engineer | Full-Time Temporary (W-2)

Pay: $42.00 - $73.00 per hour (W-2), based on experience level and assignment
Location: North Carolina; on-site, hybrid, or remote depending on the assignment

Machine Learning Engineers take models from experiment to production. You'll prepare data, build and tune models, deploy them reliably, and keep them performing over time.

Also known as: ML Engineer, AI Specialist, Predictive Analytics Developer, MLOps Engineer

What you'll do

• Implement and optimize machine learning models for business problems
• Gather requirements and design data-driven solutions with cross-functional teams
• Prepare and analyze large datasets for quality and relevance
• Select and apply algorithms and frameworks such as TensorFlow, PyTorch, or scikit-learn
• Deploy models into production and integrate with existing systems
• Monitor model performance and retrain or fine-tune as needed
• Document workflows and processes so results can be reproduced

What you’ll need

• Experience in ML engineering or software engineering with ML (see experience levels below)
• Python, PyTorch or TensorFlow, and containerization
• Bachelor's degree in a related field, or an equivalent combination of education and experience. Degrees and certifications are verified before placement.

Nice to have

Tools you may use: Python, PyTorch, TensorFlow, scikit-learn, MLflow, Docker

• Junior: 1-3 years
• Mid-Level: 3-5 years
• Senior: 5-7 years
• Expert: 7+ years

Each assignment has its own required skills, tools, and experience level. We review the specific requirements with you before your resume is shared for any assignment.

What to expect

• Full-time temporary assignment, W-2 employment with Garden Life Development
• Typically 40 hours per week
• On-site, hybrid, or remote, depending on the assignment
• Assignment length varies by project and is shared with you before you accept
• Health and welfare benefits; details provided with your offer
• A personal orientation before your first day, and a GLD contact for support throughout your assignment

Requirements for all positions

• Must reside in the United States and be legally authorized to work in the U.S.
• Background check required; some assignments require additional screening
• Education and certifications are verified before placement

Our mission is to empower clients with secure, innovative solutions while growing the skills and expertise of the professionals we place. We bring deep experience in technology and cybersecurity to complex challenges, and we place skilled IT and business professionals on meaningful assignments.

When you join us, you're never on your own. We prepare you for a future of success, with support from before day one through your last day on assignment.

Garden Life Development, LLC is an equal opportunity employer.

Requirements

• Experience in ML engineering or software engineering with ML (see experience levels below)
• Python, PyTorch or TensorFlow, and containerization
• Bachelor's degree in a related field, or an equivalent combination of education and experience. Degrees and certifications are verified before placement.
• Full-time temporary assignment, W-2 employment with Garden Life Development
• Typically 40 hours per week
• On-site, hybrid, or remote, depending on the assignment
• Assignment length varies by project and is shared with you before you accept
• Health and welfare benefits; details provided with your offer
• A personal orientation before your first day, and a GLD contact for support throughout your assignment