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Afternoon Full Stack Machine Learning Engineer Jobs

aqua IT

Machine Learning Engineer

Herndon, VA · On-site

Develop and maintain full-stack applications while ensuring operational excellence and reliability ... of machine learning/statistical modeling data analysis tools and techniques Preferred ...

General Atomics

Machine Learning Engineer

Poway, CA · On-site

... the team's autonomy stack. * Maintains the strict confidentiality of sensitive information ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

Aqua IT

Machine Learning Engineer

Springfield, VA · On-site

Develop and maintain full-stack applications while ensuring operational excellence and reliability ... of machine learning/statistical modeling data analysis tools and techniques Preferred ...

Forhyre

Machine Learning Engineer

New York, NY · On-site

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

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Afternoon Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

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

As of Sep 13, 2026, the average yearly pay for afternoon full stack machine learning engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.
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Afternoon Full Stack Machine Learning Engineer jobs near you
Infographic showing various Afternoon Full Stack Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

Machine Learning Engineer

Herndon, VA • On-site

aqua IT
See more jobs at aqua ITexternal

Full-time

Posted 9 days ago

Job description

 Description of Services/Responsibilities:

  • Design, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code
  • Lead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments 
  • Build and optimize CI/CD pipelines for complex microservices architectures 
  • Develop and maintain full-stack applications while ensuring operational excellence and reliability 
  • Implement monitoring, logging, and alerting solutions for production systems
  • Drive security-first infrastructure design and implementation
  • Mentor team members on DevOps best practices and cloud-native technologies

Basic Requirements

- Active TS/SCI required
- Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- 3+ years of machine learning/statistical modeling data analysis tools and techniques

Preferred Qualifications:

- Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions
- Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks