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Freelance Full Stack Machine Learning Engineer Jobs in Goodyear, AZ

IntraEdge

Full Stack Engineer

Phoenix, AZ

Hands-on experience with Vert.x or similar reactive programming frameworks * Strong understanding of full stack development (backend + UI) * Experience with frontend technologies (React, Angular, or ...

Inficare Technologies

full-stack engineer

Phoenix, AZ · On-site

Role - Senior Full-Stack Engineer (Node.js / Angular / MongoDB / Camunda) - Agentic Engineering Location - Phoenix, AZ (Hybrid) Duration - Long Term contract Role summary We're looking for a seasoned ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

Knowledge of Machine Learning and Generative AI frameworks * Strong engineering fundamentals and problem-solving skills * A builder mindset -- curious, resourceful, fast-moving, and focused on ...

Yrefy LLC

Full Stack Developer

Phoenix, AZ · On-site

$90K - $130K/yr

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of ... We encourage experimentation, learning from mistakes, and continuous improvement across teams.

Yrefy LLC

Full Stack Developer

Phoenix, AZ · On-site

$90K - $130K/yr

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of ... We encourage experimentation, learning from mistakes, and continuous improvement across teams.

Staffingine LLC

Full Stack Engineer

Phoenix, AZ · On-site

Full Stack Engineer Job Location: Phoenix - Arizona - USA Job Type: Contract * Develop and design scalable secure and robust software solutions * Develop backend services with Nodejs TypeScript ...

Yrefy LLC

Full Stack Developer

Phoenix, AZ · On-site

$90K - $130K/yr

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of ... We encourage experimentation, learning from mistakes, and continuous improvement across teams.

Yrefy, LLC

Full Stack Developer

Phoenix, AZ

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of ... We encourage experimentation, learning from mistakes, and continuous improvement across teams.

Master Electronics

Full Stack Developer

Phoenix, AZ · On-site

$80K - $100K/yr

We are looking for a Full Stack Developer who can build scalable web applications, solve complex problems, and use AI tools to move faster without compromising quality. This is a great opportunity ...

Master Electronics

Full Stack Developer

Phoenix, AZ · On-site

$80K - $100K/yr

We are looking for a Full Stack Developer who can build scalable web applications, solve complex problems, and use AI tools to move faster without compromising quality. This is a great opportunity ...

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Showing results 21-40

All JobsFull Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer Jobs in Goodyear, AZ

Freelance Full Stack Machine Learning Engineer information

See Goodyear, AZ salary details

$43.5K

$131.7K

$186.1K

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

As of Aug 7, 2026, the average yearly pay for freelance full stack machine learning engineer in Goodyear, AZ is $131,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $154,400.00 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.

What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Goodyear, AZ look for? The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Goodyear, AZ are:
Freelance Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer with Security Clearance

Prime Solutions Group, Inc

Goodyear, AZ • On-site

$110K/yr

Other

Re-posted 24 days ago

Job description

Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production—developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments. You’ll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions. What You’ll Do
- Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment - Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow - Integrate models into production systems (APIs, batch pipelines, real-time services) - Implement model validation, evaluation metrics, and performance monitoring - Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements - Collaborate with data engineers and domain experts to prepare and validate datasets - Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments - Troubleshoot model and pipeline issues; perform root cause analysis and optimization - Contribute to technical documentation, test plans, and operational runbooks - Participate in design reviews, architecture discussions, and Agile development processes - Mentor junior engineers and promote engineering best practices Requirements
- U.S. Citizenship - Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain) - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field - 4+ years of experience in: - Machine Learning Engineering - Applied AI/ML development - Production ML systems - Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) - Experience developing, training, and deploying ML models in real-world applications - Solid understanding of the ML lifecycle (data > training > validation > deployment > monitoring) - Experience building maintainable, production-quality software - Familiarity with Docker and cloud environments (AWS, Azure, or GCP) - Experience working in Agile and CI/CD environments - Strong problem-solving, communication, and collaboration skills Preferred Qualifications
- Master’s degree in a related field - Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR) - Experience transitioning models from research to production environments - Familiarity with experiment tracking, model versioning, and reproducibility practices - Experience with GPU-based ML workflows and cloud ML platforms - Background in defense, intelligence, or other regulated environments Why Join PSG?
At PSG, you’re not just taking a job—you’re building technology that matters.
- Competitive compensation & benefits - 9/80 flexible work schedule - Professional development & tuition assistance - Small, agile team with high ownership and visibility - Work on mission-critical systems supporting national security - Opportunities to grow across AI/ML, software engineering, and platform development Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems. Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

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