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Remote Full Stack Machine Learning Engineer Jobs in Newcastle, OK

micro1 AI

Domain Expert - (STEM PhD)

Oklahoma City, OK · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Varsity Tutors

Supabase Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Varsity Tutors

Data Science Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Skilled at teaching the full data science workflow from question formulation through insight ...

Varsity Tutors

HTML Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Python Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Linear Algebra Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

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Remote Full Stack Machine Learning Engineer information

See Newcastle, OK salary details

$35K

$106K

$149.9K

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

As of Jul 13, 2026, the average yearly pay for remote full stack machine learning engineer in Newcastle, OK is $106,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $124,300.00 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 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 key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

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 job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Newcastle, OK look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Newcastle, OK are:
What cities near Newcastle, OK are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Newcastle, OK with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
AI/Automation Architect

AI/Automation Architect

Norman Regional Health System

Norman, OK • Remote

Other

Re-posted 22 days ago

Norman Regional Health System rating

7.4

Company rating: 7.4 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

265th of 882 rated healthcare providers

Job description


Job Summary

The AI & Automation Architect is responsible for designing the end-to-end technical strategy for the organization's intelligent automation initiatives. This role involves selecting the right mix of technologies (RPA, Generative AI, Machine Learning, IDP) to solve complex business problems. The Architect ensures that solutions are scalable, secure, and cost-effective, moving beyond simple task automation to full-scale process transformation.

  • Design scalable architectures for intelligent automation solutions, integrating RPA bots with AI models (e.g., using LLMs for decision-making within an RPA workflow)
  • Evaluate and select appropriate platforms and tools based on cost, security, and fit
  • Define how automation tools communicate with enterprise systems via APIs, webhooks, or database connections
  • Establish coding standards, reusable component libraries, and best practices for development teams to ensure consistency
  • Work with InfoSec to ensure all AI/automation workflows comply with data privacy laws (GDPR/CCPA/HIPAA) and internal security policies (e.g., PII masking, role-based access control)
  • Oversee the infrastructure sizing to support bots and high-volume AI inference requests
  • Collaborate with business analysts to determine if a process should be automated and how
  • Lead rapid Proof of Concept (PoC) projects to test emerging technologies before enterprise rollout
  • Design the "Control Room" strategy for monitoring bot health, AI model drift, and license utilization
  • Disaster Recovery: Create failover strategies to ensure business-critical automations continue running during system outages
     

Typical Duties:

  • Meeting with Health system leaders to analyze a proposed process and determining if it requires simple RPA, complex AI (e.g., OCR/NLP), or if it shouldn't be automated at all
  • Drafting technical blueprints that detail exactly how a bot will log in, where data will be stored, how exceptions are handled, and which AI models will be called
  • Researching and testing new AI tools to see if they fit the health systems tech stack better than current tools
  • Designing and documenting the REST/SOAP API integrations between the automation platform and third-party apps
  • Calculating the necessary compute power (CPU/RAM/GPU) required for upcoming automations and provisioning Virtual Machines (VMs)
  • Configuring "Credential Vaults" so bots can log into systems without exposing passwords in the code
  • Building and maintaining a library of "snippets" that all developers must use to save time
  • Monitors bot health to ensure critical automations ran successfully overnight
  • Troubleshoot complex failures that regular support teams cannot fix
  • Planning and executing upgrades for the automation platform without breaking existing bots
  • Facilitating whiteboard sessions with non-technical departments to uncover their pain points
  • Prompt engineering for business logic, understanding "context windows," and mitigating AI hallucinations in enterprise data.
  • Experience with OCR and data extraction tools.
  • Python, C#/.NET
  • PowerShell or Bash for infrastructure tasks.
  • Ability to design solutions that can handle spikes in volume.
  • Knowledge of load balancing and concurrent processing.
  • Understanding of RBAC (Role-Based Access Control).
  • Secure credential management.
  • Understanding of Virtual Machines (VMs), VDI (Virtual Desktop Infrastructure), and Docker/Kubernetes.
  • Setting up pipelines to automate the testing and deployment of bots.
  • Version control (Git) strategies for automation teams.

Qualifications

Education

  • Bachelor’s degree in Computer Science, Data Science, or a related engineering discipline or equivalent experience required.

Licensure/Certification

  • Prefer candidate holds an advanced professional certification in a major automation platform, such as the UiPath Certified Professional Automation Solutions Architect or Microsoft Power Platform Solution Architect

(Above requirements can be met by equivalent combination of education and experience)

Experience

  • 7+ years of IT experience, including at least 4 years designing scalable RPA and intelligent automation solutions using platforms like UiPath or Power Automate
  • Demonstrated expertise in integrating generative AI, machine learning models, and complex APIs into business workflows is essential
  • Proven leadership in guiding technical teams through the full software development lifecycle (SDLC) within an Agile environment is required
  • Experience translating business requirements into technical blueprints and managing stakeholder expectations is critical for success in this role

Work Shift
DayQualifications:

Education

  • Bachelor’s degree in Computer Science, Data Science, or a related engineering discipline or equivalent experience required.

Licensure/Certification

  • Prefer candidate holds an advanced professional certification in a major automation platform, such as the UiPath Certified Professional Automation Solutions Architect or Microsoft Power Platform Solution Architect

(Above requirements can be met by equivalent combination of education and experience)

Experience

  • 7+ years of IT experience, including at least 4 years designing scalable RPA and intelligent automation solutions using platforms like UiPath or Power Automate
  • Demonstrated expertise in integrating generative AI, machine learning models, and complex APIs into business workflows is essential
  • Proven leadership in guiding technical teams through the full software development lifecycle (SDLC) within an Agile environment is required
  • Experience translating business requirements into technical blueprints and managing stakeholder expectations is critical for success in this role
Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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