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Remote Full Stack Machine Learning Engineer Jobs in Oklahoma City, OK

Field Application Engineer '27

Oklahoma City, OK ยท On-site +1

$53K - $80K/yr

Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ... Benefits: Medical, dental, vision, 401K match, ~4 weeks PTO in first full year * Career Growth:

We complement our extensive line of Motive Power and Energy Systems with a full range of integrated ... Job Purpose The Application Security Engineer is responsible for strengthening the security of our ...

... full technical responsibility of design assignments. This role manages the delivery of advanced ... This role offers flexible work options, including remote and hybrid opportunities, to accommodate ...

This is a remote position. Candidates must reside in one of the following states: Alabama, Arkansas ... We encourage people from all backgrounds to apply and realize their full potential as part of our ...

Psychiatrist (Remote)

Oklahoma City, OK ยท Remote

$325K - $375K/yr

Full operational support, including scheduling, billing, intake coordination, and licensing ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

Continuously improve forecast accuracy using statistical and machine learning techniques Customer ... Data Engineering / DW team * Product, Marketing, and Finance stakeholders * Help define scalable ...

Oklahoma City, OK (Remote) Duration: Long Term Description The Teachers' Retirement System of ... The initiative introduces a modern stack--Angular, REST APIs, Azure SQL Managed Instances, Azure ...

New

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Oklahoma City, OK ยท Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... We want you to bring your full self to work-your ideas, your energy, your ambition. You'll have the ...

We complement our extensive line of Motive Power and Energy Systems with a full range of integrated ... Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ...

Showing results 41-60

Remote Full Stack Machine Learning Engineer information

See Oklahoma City, OK salary details

$41.3K

$125.2K

$177K

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

As of Aug 18, 2026, the average yearly pay for remote full stack machine learning engineer in Oklahoma City, OK is $125,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $146,800.00 per year, depending on experience, location, and employer.

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Oklahoma City, OK?

The most popular types of Full Stack Machine Learning Engineer jobs in Oklahoma City, OK are:

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Oklahoma City, OK?

For Remote Full Stack Machine Learning Engineer jobs in Oklahoma City, OK, the most frequently searched job titles are:

What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Oklahoma City, OK look for?

The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Oklahoma City, OK are:

What cities near Oklahoma City, OK are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities near Oklahoma City, OK with the most Remote Full Stack Machine Learning Engineer job openings:

Field Application Engineer '27

KEYENCE

Oklahoma City, OK โ€ข On-site, Remote

$53K - $80K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Join KEYENCE as a Field Application Engineer

Training Classes Begins January or July 2027
Irvine | Los Angeles | Cleveland | Entry-Level | Full-Time

Are you ready to launch your career with one of the world's most innovative companies? KEYENCE is looking for driven, adaptable engineers to join ourย Field Application Engineer Team. Whether you're a recent graduate or early in your career, this is your opportunity to grow with a global leader in automation and technology.

What You'll Do

As aย Field Application Engineer, you'll be at the forefront of solving complex technical challenges and shaping the future of American manufacturing. This is a field-based position with most of your time on-site with customers and sales teams. The title for this role may be calledย Application Engineer, Vision Consulting Engineer, or Integration Support Engineerย depending on the product line you may be hired for.

  • Solve complex customer challenges through creative configurations of our technical products
  • Install and program our products using hand tools or programming languages.
  • Provide on-call, on-site and remote technical support, training, and troubleshooting
  • Travel extensively (60-100%) across your assigned region-by car or plane-to deliver hands-on solutions
  • Conduct product testing and create detailed proposal reports to aid our sales team.
  • Work in dynamic environments-manufacturing floors, labs, and more-with occasional lifting (up to 60 lbs.) and off-hours support

Location Flexibility

Choose up toย two preferred office locationsย when you apply-we'll do our best to place you where you want to be. You'll work within a regional territory, not nationwide.

What We Offer

  • Base Salary: $53,940 - $80,760 (based on location)
  • Performance Bonus Target:ย $24,000 annually (performance-based), paid quarterly
  • World-Class Training:ย Paid, hands-on training and on-the-job mentorship
  • Benefits:ย Medical, dental, vision, 401K match, ~4 weeks PTO in first full year
  • Career Growth:ย Promote-from-within culture with base and bonus increases

What We're Looking For

  • Bachelor's degree (or Associate's and 4+ years military experience)
  • Strong work ethic and a passion for solving challenging problems
  • Flexibility to adapt your schedule and support customers and salespeople
  • Willingness to travel (60-100%), including overnight
  • Valid driver's license and personal vehicle
  • Ability to lift and transport demo equipment (35-85 lbs.) into customer sites

Why KEYENCE?

  • Recognized by Forbes as one of theย World's Most Innovative Companies
  • A global leader in factory automation and quality assurance solutions
  • Operating profit of over 40% for 25 consecutive years
  • A culture that invests in your success from day one

Ready to make an impact?
Apply now and start your journey with KEYENCE in January or July 2027!

KEYENCE is an at-will, Equal Opportunity Employer.ย