2

Remote Full Stack Machine Learning Engineer Jobs in Texas

$100K - $130K/yr

Learning & Development: Annual budget for growth and professional development. At QuotaPath, we ... Remote

We're seeking a Senior Full Stack Developer comfortable across backend, frontend, and cloud ... Remote Benefits * Health insurance; Health savings account * Dental insurance; Vision insurance ...

We're seeking a Senior Full Stack Developer comfortable across backend, frontend, and cloud ... Remote Benefits * Health insurance; Health savings account * Dental insurance; Vision insurance ...

MSA FULL STACK DEVELOPER

Plano, TX ยท Remote

$90K - $150K/yr

We are looking for an MSA Full Stack Developer. The pay range we offer is $90,000 to $150,000 per ... This position is remote. WHY SHOULD YOU APPLY? * Top industry compensation plan. * Great benefits.

Showing results 41-60

Remote Full Stack Machine Learning Engineer information

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 Texas?

The most popular types of Full Stack Machine Learning Engineer jobs in Texas are:

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Texas?

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

What cities in Texas are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities in Texas with the most Remote Full Stack Machine Learning Engineer job openings:

Freelance Full-Stack Web App Developer

Mindrift

Houston, TX โ€ข Remote

$60/hr

Part-time

Posted 19 days ago


Job description

Mindrift is looking for skilledย Full-Stack Web App Developers (JavaScript/TypeScript + Python or Node)ย to join the Tendem project (https://tendem.ai/) and build interactive browser-based applications for real-world use cases.

In this role, you'll apply your full-stack engineering expertise to design, build, and maintain functional, robust, and user-friendly web applications. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.

What We Doย 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

This is a freelance role for a Tendem project. As a Full-Stack Web App Developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input - from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.

Key Responsibilitiesย ย 

  • Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).
  • Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.
  • Implement authentication, sessions, and basic role-based access where needed.
  • Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.
  • Handle state management, user input validation, error states, and loading states cleanly.
  • Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).
  • Review, debug, optimize, and refactor full-stack applications to improve correctness, security, performance, and maintainability.
  • Write clear, testable code and debug end-to-end issues across frontend, backend, and database.

Educational qualifications

  • At least 3 years of relevant experienceย in full-stack web development or shipping interactive web applications (required).
  • Bachelor's or Master's Degreeย in Computer Science, Engineering, Information Technology, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and build production-ready web applications. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.

Technical Skills (Essential)

  • Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar).
  • Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.js (Express, NestJS).
  • Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.
  • Experience implementing REST APIs, request validation, error handling, and authentication flows.
  • Familiarity with deployment platforms (Vercel, Netlify, Render,ย Fly.io, Railway, or similar).
  • Experience integrating LLM APIs or other AI services into product features is a strong plus.
  • Comfortable with version control (Git) and basic testing practices.

Additional requirements

  • Strong attention to detail and commitment to building working, robust products - not demos.
  • Self-directed work ethic with the ability to architect, build, and ship features independently.
  • Portfolio of shipped web applications (required).
  • English proficiency: Upper-intermediate (B2) or above (required).

Project time expectationsย 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensationย 

On this project, contributors can earn up toย $60 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?ย 

  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.