Machine Learning Engineer

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 #J-18808-Ljbffr Garden Life Dev