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Part Time Full Stack Machine Learning Engineer Jobs in Seattle, WA

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

... with full ML development lifecycle. * Extensive experience in data science, machine learning ... Experience with generative AI technology stack including prompt engineering, guardrails, advanced ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Very goodknowledge of the foundations of machine learning and statistics * Experience inbuilding ... Lead,mentorandgrow a team of data scientists, ML engineers and data analysts dedicated to ...

Collaborate closely with finance and engineering stakeholders to translate business requirements ... It is not a business intelligence, reporting, dashboarding, machine learning, or AI research role.

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

... machine learning algorithms and computational algorithms based on business initiatives * Work closely with Directors, Sr. Managers of Data Science, and leaders ofArchitecture,Engineering,Product ...

... machine learning algorithms and computational algorithms based on business initiatives * Work closely with Directors, Sr. Managers of Data Science, and leaders ofArchitecture,Engineering,Product ...

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Showing results 1-20

Part Time Full Stack Machine Learning Engineer information

See Seattle, WA salary details

$50.6K

$153.4K

$216.8K

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

As of Aug 25, 2026, the average yearly pay for part time full stack machine learning engineer in Seattle, WA is $153,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $179,800.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Full Stack Machine Learning Engineer vs Part Time Data Scientist?

AspectPart Time Full Stack Machine Learning EngineerPart Time Data Scientist
CredentialsTypically requires machine learning, software engineering, and programming skillsRequires statistics, data analysis, and programming skills
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights
Industry UsageUsed in tech, finance, healthcare for deploying intelligent systemsUsed across industries for data analysis and reporting

While both roles involve data and programming, the Part Time Full Stack Machine Learning Engineer focuses on building and deploying machine learning models within full-stack applications, whereas the Part Time Data Scientist primarily analyzes data to generate insights. The former requires more software engineering skills, while the latter emphasizes statistical analysis.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Seattle, WA?

The most popular types of Full Stack Machine Learning Engineer jobs in Seattle, WA are:

What are popular job titles related to Part Time Full Stack Machine Learning Engineer jobs in Seattle, WA?

For Part Time Full Stack Machine Learning Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Part Time Full Stack Machine Learning Engineer jobs in Seattle, WA look for?

The top searched job categories for Part Time Full Stack Machine Learning Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Part Time Full Stack Machine Learning Engineer jobs?

Cities near Seattle, WA with the most Part Time Full Stack Machine Learning Engineer job openings:

(101) Software Development Engineer Intern

Xevo

Seattle, WA • On-site

Part-time

Re-posted 16 days ago


Job description

Write the software that will change the world Why bother working on software and services that no one uses. At Xevo, your work as a Software Development Engineer will remake the way every car works. We are building *The* Automobile Software company that will run in every car and work for every passenger.

Your work will used in tens of millions of cars for the decades to come. And if love the cloud, then you will love building a massive geodata system that will map the world over everyday. Come to Xevo, if you want to work on the most difficult challenges in the world.

Work with experts in artificial intelligence, machine learning, embedded systems, smart cameras, next generation hardware, geodata, data science, continuous delivery and integration, 4G and 5G networking, open source development and cloud native technology. It isn't easy, but the challenge will prepare for years to come. Our Software Development Engineer program includes mentorship and training in real-world projects that really matter.

It is designed for holders of bachelor degrees with experience in data science, computer science and applied mathematics. We have opportunities in Seattle and the Eastside. Basic Qualifications: Proficiency in Linux platforms and relevant web platforms 0-5 years of relevant experience in building software and services Experience in projects involving cross-functional teams and successfully completing complex/large scale projects A Bachelor's Degree or equivalent in Computer Science, Mathematics, Statistics or related technical field Preferred Qualifications: Full stack development experience implementing server technologies Mobile development experience with iOS, Android Experience building embedded systems.