6 ml engineer jobs at 5 companies in Prosperity, SC
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AI / ML Developer or Engineer
Aiken, South Carolina, United States
$62k-$188k/yrOnsiteFull Time
Savannah River Mission Completion: Manages liquid waste operations at Savannah River Site
Requires a computer science-related degree or equivalent practical experience, with AI/ML, software engineering, data analytics, or data science experience and proficiency in programming, machine learning, and data engineering.
Integer Technologies: Applied research and product development for national security.
5+ YOEU.S. citizenship and eligibility for DoW Secret clearance, Bachelor’s in CS/Software Engineering, 5+ years developing modeling/simulation or manufacturing software, proficiency with AI/ML and DevOps.
Integer Technologies: Applied research and product development for national security.
6+ YOEU.S. citizen able to obtain DoD Secret clearance. Advanced degree or equivalent experience (PhD6+/MS8+/BS10+). Deep experience in autonomy, perception, state estimation, edge ML, or software architecture. Proficiency with Git, CI/CD and production-grade languages (Python, C++, Rust).
AMC Health: Provides remote patient monitoring and virtual care technology.
7+ YOE7+ years building production backend systems, strong Python, cloud/distributed systems experience, hands-on LLM/generative AI, ML lifecycle proficiency, and disciplined work in regulated environments.
Savannah River National Laboratory: Provides research and development for nuclear security and environmental cleanup.
3+ YOEM.S. or PhD in science/engineering with 3+ years materials research, established publication record, ability to obtain DOE security clearance; preferred: metallurgy/materials, plutonium handling, defense sponsor experience, modelling/ML skills.
Specialist, Field Monitoring - Technical Field Data
Blythewood, South Carolina, United States
$95k-$120k/yrOnsiteFull Time
Scout Motors: Designs and manufactures all-electric rugged SUVs and trucks.
5+ YOE5+ years in data analytics or data processing, automotive/vehicle context preferred; experience with large datasets, telemetry, and VoC analytics; strong SQL, Python, Databricks, and cloud skills; AI/ML familiarity; ability to translate insights into engineering actions.
Databricks, SQL, Python, Cloud platforms, JavaScript, HTML/CSS, Power BI, PowerApps