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Remote Full Stack Machine Learning Engineer Jobs in Tennessee

NxT Level

Full Stack Engineer

Nashville, TN · Remote

Remote (U.S.) About Our Client Our client builds software that powers mission-critical construction ... Experience in construction, fintech, proptech, or any domain requiring deep business learning to ...

Tech Firefly

Principal Full Stack Engineer

Nashville, TN · Remote

$120 - $130/hr

We are seeking a Principal Full Stack Engineer to lead the architecture, design, and modernization ... Remote with an initial travel requirement (~50% travel for the first 3 months, scaling down to ~25 ...

Motorola

Senior DevOps Engineer (US REMOTE)

Brentwood, TN · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Virtusa

Full Stack .NET Developer

Memphis, TN · On-site +1

... Continuous Learning Stay updated with the latest .NET technologies and frameworks, suggesting ... or Remote .NET Developers may work in corporate, startup, or hybrid environments, often ...

Virtusa

Full Stack .NET Developer

Memphis, TN · On-site +1

... Continuous Learning Stay updated with the latest .NET technologies and frameworks, suggesting ... or Remote .NET Developers may work in corporate, startup, or hybrid environments, often ...

Virtusa

Full Stack .NET Developer

Memphis, TN · On-site +1

... Continuous Learning Stay updated with the latest .NET technologies and frameworks, suggesting ... or Remote .NET Developers may work in corporate, startup, or hybrid environments, often ...

Varsity Tutors

Machine Learning Tutor

Chattanooga, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Kingsport, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Memphis, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Nashville, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Knoxville, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Tennessee

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 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 are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Tennessee? The most popular types of Full Stack Machine Learning Engineer jobs in Tennessee are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Tennessee? For Remote Full Stack Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Tennessee look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Tennessee with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
Full Stack Engineer

Full Stack Engineer

NxT Level

Nashville, TN • Remote

Other

Re-posted 18 days ago

Job description

Senior Full-Stack Engineer (Rails Monolith + React)

Location: Remote (U.S.)

About Our Client

Our client builds software that powers mission-critical construction lending workflows. The platform is mature, used by real customers, and sits at the intersection of complex operational processes, payments, approvals, and data accuracy. This team values pragmatic builders who can ship, iterate, and improve legacy systems without breaking what already works.

The Role

Our client is hiring a Senior Full-Stack Engineer who has shipped and maintained production applications, someone comfortable moving across database design, API development, backend architecture, and front-end product work.

You’ll help define and build new platform capabilities on top of a 6-year-old Rails monolith, improving and extending it with modern patterns while balancing speed, quality, and business constraints.

What You’ll Do

  • Collaboratively define, scope, and architect new platform capabilities on top of a mature Rails monolith
  • Extend and improve legacy systems—adding payments, integrations, and new features in a way that’s seamless, secure, and scalable
  • Work directly with databases: write/optimize SQL, design schema migrations, and ensure API payloads are efficient and well-structured
  • Build and maintain web features using React, Hotwire, TypeScript, Tailwind (and potentially mobile-facing work in React Native)
  • Manage background processing and system reliability using Sidekiq—taking a pragmatic approach to infrastructure without overbuying vendor tooling
  • Identify fragile legacy implementations and propose practical migration paths that balance engineering quality with business reality
  • Help establish engineering culture, conventions, and development practices as the team scales
  • Communicate proactively in a fully remote, high-velocity environment—thinking out loud, asking the right questions, and collaborating through conversation

What Our Client Is Looking For

Required

  • 6+ years of professional full-stack engineering experience (exceptional 4–5 years considered)
  • Strong Ruby on Rails experience, including working inside a mature monolith
  • Comfortable working across backend + frontend, with strong product instincts
  • Solid database fundamentals: schema design, migrations, query optimization, and API efficiency
  • Experience building reliable systems: background jobs, queues, retries, and failure handling (Sidekiq or similar)
  • Clear communicator who thrives in ambiguity and can reason out loud

Bonus Points

  • Experience in construction, fintech, proptech, or any domain requiring deep business learning to build the right product
  • Experience with React Native or mobile-adjacent product surfaces
  • Experience integrating payments and third-party systems in production

Why This Role

  • High-ownership work on a platform that matters—real customers, real workflows, real outcomes
  • Meaningful engineering challenges: improving a mature codebase, scaling reliability, and modernizing without “rewrite theater”
  • Strong influence on architecture, standards, and how the team builds as it grows
  • Remote culture that rewards proactive communication and practical execution

Apply