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Freelance Full Stack Machine Learning Engineer Jobs

Full Stack Engineer

San Diego, CA · On-site

$92K - $185K/yr

TRABUS works directly with end-users to build machine learning and full stack solutions from the ... Full Stack Engineer (Multiple Levels) We're looking for a Full Stack Engineer to support the ...

Sr. Machine Learning Engineer, Siri Global

Cupertino, CA · On-site

$151K - $199K/yr

We are particularly interested in "full-stack" machine learning engineers with strong experience in research, software engineering, and have strong leadership potential. You should be passionate ...

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

You'll grow within a talented team of machine learning engineers across the company and collaborate with full-stack software engineers, data scientists, solutions architects, and defense mission ...

As a Machine Learning Engineer, you will shape the technical direction of the company by automating ... Required : • 3 to 5 years of industry experience in full-stack Deep Learning and Computer Vision ...

Machine Learning Engineer

Washington, DC · On-site

$180 - $240/hr

The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM ... This role requires the ability to contribute to solutions across the full LLM stack, from the OS ...

The product we're working on leverages massive datasets and customizes machine learning models to ... Happy working as a freelance contractor. * Authorized to work in the United States. * Strong ...

You'll own the full stack of applied ML - from data curation to evaluation and production ... Machine Learning Engineer who enjoys building real systems people depend on. You'll likely have ...

NY · On-site

$120 - $160/hr

This role owns the full ML lifecycle--from problem formulation and data preparation through model ... They are comfortable working across the stack, from distributed training infrastructure to model ...

Full Stack Engineer

San Diego, CA · On-site

$110 - $170/hr

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

FULL STACK ENGINEER

San Diego, CA · On-site

$135K - $145K/yr

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

FULL STACK ENGINEER

San Diego, CA · On-site

$135K - $145K/yr

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

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Freelance Full Stack Machine Learning Engineer information

See salary details

$44.5K

$134.8K

$190.5K

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

As of Sep 6, 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.

More about Freelance Full Stack Machine Learning Engineer jobs

What cities are hiring for Freelance Full Stack Machine Learning Engineer jobs?

Cities with the most Freelance Full Stack Machine Learning Engineer job openings:

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs?

The most popular types of Full Stack Machine Learning Engineer jobs are:

What states have the most Freelance Full Stack Machine Learning Engineer jobs?

States with the most job openings for Freelance Full Stack Machine Learning Engineer jobs include:

Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

Full-time

Re-posted 27 days ago


Job description

Job Description Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at large-scale. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies.

Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions. Be a part of a highly productive and creative engineering team What Are We Looking For in This Role. Highly Preferred: MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field.

5+ years of experience architecting and developing AI and machine learning applications Ability to think critically, question assumptions and devise solutions to challenging technical problems. Hands-on experience with one or more of the following technologies: --Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc. --ML Technologies: NLP, Computer Vision and related technologies.

--Back end web-services: Java, Spring Boot, Python, Kubernetes, Docker - Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Minimum Qualifications Bachelor's Degree Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field Typically Minimum 6 Years Relevant Exp Four-year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development