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Freelance Full Stack Machine Learning Engineer Jobs in Arizona

IntraEdge

Full Stack Engineer

Phoenix, AZ · On-site

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 ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr (+ commission)

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 ...

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 ...

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

Workiva

$40/hr

Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate tools such as LlamaIndex and ...

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Freelance Full Stack Machine Learning Engineer information

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 Software Engineer (Intern)

Astral Insights LLC

Phoenix, AZ • On-site

$50 - $70/hr

Other

Posted 5 days ago

Job description

Astral Insights builds AI-driven solutions to solve the most complex operational challenges in manufacturing and supply chain. We're looking for a motivated Full Stack Software Engineer intern to join our engineering team and contribute to real product work: building out our Artemis AI problem-solving engine and Phoenix data platform.

You'll work alongside senior engineers on Artemis and Phoenix, picking up features, squashing bugs, and learning what it means to build production software in a fast-moving, quality-conscious environment. If you're early in your career and serious about becoming a strong engineer, this is a place where that happens quickly.

What You'll Do Contribute features across the stack

Pick up real product work on the Artemis AI problem-solving engine and the Phoenix data platform. Ship features across the frontend (Next.js) and backend (Python, REST APIs) under the guidance of senior engineers.

Write and run your own tests

Build the habit of testing your own code from day one. Quality is not a separate phase; it is part of how we ship.

Participate in code reviews

Sprint planning, daily standups, and iterative delivery. You will own work end-to-end inside a sprint and be expected to communicate progress and blockers clearly.

Use AI-assisted development tools thoughtfully

Use Claude Code, Copilot, and similar tools to accelerate your work. Learn when to trust the output, when to verify, and when to throw it out.

Document what you build

Write clearly enough that a teammate can pick up your work without a meeting. Good documentation is part of the deliverable, not an afterthought.

What We're Looking For Pursuing or recently completed a CS-adjacent degree

Computer Science, Software Engineering, or a related field. We care about what you can build, not just where you studied.

Working knowledge of a backend language and the web fundamentals Comfortable with Git Hands-on with agentic coding tools Demonstrated exceptional ability

Academically, professionally, or through extracurriculars. You have shipped, won, built, or led something that stands out.

Curious and self-directed

You have a bias toward figuring things out before asking for help. You ask sharp questions when you do.

Clear communicator in a remote-first environment

You can write a clear update, leave a useful PR comment, and run a focused video call. Your team should never have to guess what you're working on.

Bonus Points
  • Exposure to cloud platforms (AWS, Azure, or GCP).
  • Experience with SQL and relational databases.
  • Coursework or projects involving data pipelines, machine learning, APIs, or MCPs.
  • Familiarity with testing frameworks in any language.
Why Astral
  • Real product work on the Artemis AI engine and Phoenix data platform, not a rotation program or busywork.
  • Direct mentorship from senior engineers and exposure to the founding team.
  • Technically interesting problems: AI agents, supply chain signal processing, and regulated data pipelines.
  • A small, high-output team where your contributions are visible and your growth is fast.
  • Heavy investment in AI tooling. If a tool makes you faster, we buy it.

Must be authorized to work in the US. Hybrid arrangements and remote programs are open for consideration.

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