1

Senior Full Stack Machine Learning Engineer Jobs in Delano, CA

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Act as a senior technical escalation point during system disruptions or downtime events. * Partner ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Act as a senior technical escalation point during system disruptions or downtime events. * Partner ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

next page

Showing results 1-20

Senior Full Stack Machine Learning Engineer information

See Delano, CA salary details

$47.2K

$143K

$202.1K

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

As of Jul 15, 2026, the average yearly pay for senior full stack machine learning engineer in Delano, CA is $142,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $167,600.00 per year, depending on experience, location, and employer.

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

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What cities near Delano, CA are hiring for Senior Full Stack Machine Learning Engineer jobs? Cities near Delano, CA with the most Senior Full Stack Machine Learning Engineer job openings:
Senior Python Full Stack Developer

Senior Python Full Stack Developer

Recruit Professional Services

Bakersfield, CA • On-site

Other

Re-posted 6 days ago


Job description

Senior Python Full Stack Developer
NOTE:
This is a remote position, BUT you have to be on Pacific Time. Maybe a couple times a year there may be travel to company headquarters in California for team building.
Responsibilities:
  • Actively participate in team ceremonies (stand-ups, sprint planning, code reviews, retrospectives).
  • Provide technical guidance to peers & junior developers.
  • Create clear and well-structured technical specifications and designs.
  • Design and build scalable, secure, and fault-tolerant software solutions.
  • Contribute to system architecture, technical analysis, and design decisions.
  • Extend and improve existing applications to meet evolving business needs.
  • Write clean, maintainable, and well-tested code; refactor where necessary.
  • Take ownership of delivery, quality, and system reliability.
  • Mentor team members and foster a collaborative, high-performing team culture.

Requirements:
  • 5+ years of experience as a Senior Full Stack Developer.
  • Strong hands-on experience with Python, Django, JavaScript/TypeScript and React.js.
  • Strong experience with PostgreSQL and MySQL.
  • Experience building and consuming RESTful APIs.
  • Experience deploying and operating applications on AWS.
  • Strong understanding of application and data architecture.
  • Comfortable working in agile development environments.
  • Strong communication skills and team-oriented mindset.

#Recruitps