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Freelance Full Stack Machine Learning Engineer Jobs

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 ...

SynergisticIT

Java/Full-Stack Developer - Remote

San Diego, CA · On-site

$55.75 - $72/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... Experience in programming language Java and understanding of the software development life cycle.

SynergisticIT

Java/Full-Stack Developer - Junior (Remote)

$53.75 - $69.25/hr

We need Data Science/Machine learning/Data Analyst and Java Full stack candidates Preferred SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

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 ...

SynergisticIT

Java/Full-Stack Developer - Junior (Remote)

$53.75 - $69.25/hr

We need Data Science/Machine learning/Data Analyst and Java Full stack candidates Preferred SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

SynergisticIT

Java/Full-Stack Developer - Junior (Remote)

$53.75 - $69.25/hr

We need Data Science/Machine learning/Data Analyst and Java Full stack candidates Preferred SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 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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Freelance Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

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

As of Jul 7, 2026, the average yearly pay for freelance 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.

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

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

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Freelance Full Stack Machine Learning Engineer jobs near you
Full-Stack AI Developer -- Onsite Los Angeles

Full-Stack AI Developer -- Onsite Los Angeles

Motion Recruitment

Los Angeles, CA • On-site

Full-time

Medical, Dental, Vision

Posted 21 days ago

Job description

We are partnered with a fast-scaling logistics and supply chain technology organization that is building sophisticated, AI-powered platforms to transform and streamline complex operational processes. Their solutions combine advanced machine learning, automation, and modern software engineering to enable smarter, data-driven decision-making across logistics, warehousing, and transportation. The engineering team thrives in a collaborative, high-velocity environment where developers take on meaningful ownership and contribute directly to impactful, AI-enabled products that drive real business results.

We are specifically targeting Machine Learning Engineers who have hands-on experience working within Node.js-driven environments and are skilled at bringing ML models into production within scalable application architectures.

This role is centered around architecting and scaling modern applications powered by machine learning and intelligent automation to support critical supply chain operations. You will operate across the full stack, building user-facing web applications, embedding AI/ML functionality, and developing robust backend systems that drive predictive insights and automated decision-making across logistics workflows.

I AM NOT ABLE TO ENGAGE ON A C2C BASIS WITH OTHER COMPANIES, AND CANDIDATES MUST BE A GREEN CARD HOLDER OR US CITIZEN. NO SPONSORSHIP IS AVAILABLE

Key Responsibilities

  • Design, develop, and support scalable full stack applications using Node.js and React, with a primary focus on integrating AI/ML capabilities (30%)
  • Build, deploy, and operationalize machine learning models and AI-driven features across internal systems and customer-facing platforms (30%)
  • Develop backend services, APIs, and data pipelines to enable real-time, data-intensive logistics workflows (15%)
  • Contribute to system architecture decisions, optimizing application performance, scalability, and ML model efficiency within cloud environments (10%)
  • Connect third-party data sources, ML services, and internal tools to expand predictive and analytical functionality (10%)
  • Work cross-functionally with engineering, product, and business teams while helping establish best practices for AI implementation and system design (5%)

Qualifications

  • 7+ years of professional experience in software engineering with a strong emphasis on full stack application development
  • Proven experience working with Node.js and React in production-scale environments
  • Hands-on experience developing, deploying, or integrating machine learning models or AI-based solutions
  • Experience embedding ML models into production systems within Node.js or JavaScript-based backend architectures
  • Strong understanding of system design, API development, and distributed application architecture
  • Experience working with large-scale datasets, streaming data, or complex data pipelines
  • Familiarity with cloud ecosystems such as AWS, GCP, or Azure, ideally supporting AI/ML workloads
  • Background in logistics, supply chain, transportation, or other data-heavy industries is a plus
  • Strong analytical mindset with the ability to solve complex technical challenges in fast-paced environments
  • Excellent communication skills with the ability to collaborate across technical and non-technical teams

The Offer

  • Competitive base salary along with bonus and/or equity opportunities
  • Comprehensive health benefits including medical, dental, and vision coverage
  • Opportunity to build and scale AI-powered systems transforming logistics and supply chain operations
  • Highly collaborative engineering culture with strong ownership and professional growth opportunities
  • Flexible hybrid or onsite work environment based on team and location requirements

I AM NOT ABLE TO ENGAGE ON A C2C BASIS WITH OTHER COMPANIES, AND CANDIDATES MUST BE A GREEN CARD HOLDER OR US CITIZEN. NO SPONSORSHIP IS AVAILABLE

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