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Freelance Full Stack Machine Learning Engineer Jobs

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer ...

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer ...

Machine Learning Engineer - Senior Level Bellevue, WA - HQ Your Skills: * Experience with cloud ... Create a boutique "GPU-first" cloud stack optimized and focused on AI/Client workloads * Create ...

Machine Learning Engineer - Senior Level Bellevue, WA - HQ Your Skills: * Experience with cloud ... Create a boutique "GPU-first" cloud stack optimized and focused on AI/Client workloads * Create ...

... Machine Learning Platform United States $100,000.00-$720,000.00 1 week ago Software Engineer (L5 ... Freelance, Remote) United States $200,000.00-$380,000.00 1 week ago We're unlocking community ...

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts ...

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ... Expertise in machine learning techniques, including but not limited to regression, classification ...

Machine Learning Engineer At Leash Biosciences, we are at the cutting edge of integrating machine ... Innovate and iterate on our existing technology stack, taking the initiative to solve problems and ...

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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 Jun 4, 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.
Junior Full-Stack Engineer

Junior Full-Stack Engineer

SynergisticIT

Indianapolis, IN • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level job positions.

We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, PayPal, western union, client, Visa, Walmart lab s etc. to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelor's degree or master's degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, Docker, Jenkins, GitHub, Kubernetes and REST API's experience.

For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelor's degree or master's degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude. Knowledge of statistics, gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.