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Freelance Full Stack Machine Learning Engineer Jobs

Senior Machine Learning Engineer

Atlanta, GA

$117.80K - $155.30K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves as Inovalon's central AI and machine learning hub. This team partners with Provider, Payer, and ...

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we ... Freelance perks: autonomy, flexibility, and global collaboration. * Potential for contract ...

TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in ...

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves as Inovalon's central AI and machine learning hub. This team partners with Provider, Payer, and ...

Senior Machine Learning Engineer

Nashville, TN

$118.30K - $156K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves asInovalon'scentral AI and machine learning hub. This team partners with Provider, Payer, and ...

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... Freelance autonomy with access to meaningful, intellectually stimulating work * Build deep ...

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent ... Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ...

Sr. Machine Learning Engineer, Siri Global

Cupertino, CA · On-site

$151.10K - $199.20K/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 about ...

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 ...

Machine Learning Engineer We are looking for a Machine Learning Engineer to join the growing AI and ... We value full stack ML engineers who are able to work on all parts of an ML pipeline from model ...

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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 Jun 3, 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 May 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.
Machine Learning Engineer

Other

Posted 23 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