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Remote Full Stack Machine Learning Engineer Jobs in Tennessee

Engineering Manager

Nashville, TN ยท Remote

$185K - $195K/yr

Engineering Manager I (Player/Coach, Full Stack) Location: Remote Compensation: $185,000 - $195,000 About Our Client Our client is a mission-driven telehealth company focused on expanding access to ...

Engineering Manager

Nashville, TN ยท Remote

$185K - $195K/yr

Engineering Manager I (Player/Coach, Full Stack) Location: Remote Compensation: $185,000 - $195,000 About Our Client Our client is a mission-driven telehealth company focused on expanding access to ...

Web Development Tutor

Kingsport, TN ยท Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Knoxville, TN ยท Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Nashville, TN ยท Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Memphis, TN ยท Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Murfreesboro, TN ยท Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

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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:
Engineering Manager

Engineering Manager

NxT Level

Nashville, TN โ€ข Remote

$185K - $195K/yr

Other

Re-posted 18 days ago


Job description

Engineering Manager I (Player/Coach, Full Stack)

Location: Remote
Compensation:ย $185,000 - $195,000

About Our Client

Our client is a mission-driven telehealth company focused on expanding access to treatment for opioid use disorder. They build compliant, patient- and clinician-facing software that supports care delivery at scale. The work is high-trust, outcomes-driven, and deeply tied to reliability, privacy, and regulatory compliance (HIPAA).

The Role

Our client is hiring an Engineering Manager I to lead a team of 2โ€“5 full-stack engineers building and maintaining core web applications. This is a true player/coach role with a 50โ€“70% hands-on coding expectation (and 30โ€“50% leadership), depending on business needs and team maturity.

Youโ€™ll be responsible for delivery quality, architecture improvements, engineering standards, and day-to-day mentorshipโ€”working side-by-side with your team across the full product lifecycle from idea โ†’ implementation โ†’ measurable results.

Tech Stack

  • TypeScript, React
  • Firebase (Firestore, Authentication, Remote Config)
  • Google Cloud Platform (GCP)

What Youโ€™ll Do

  • Lead delivery with strong technical judgment: contribute to roadmap planning, scope shaping, and estimation; drive incremental wins and predictable execution
  • Maintain a high engineering bar: clear technical designs, opinionated architecture choices, strong code review culture, and solid test coverage
  • Build across the stack: primarily strengthening frontend capabilities, while contributing wherever the team needs most
  • Coach and develop engineers: mentorship, feedback, and growth plans while fostering a culture of excellence, creativity, collaboration, and continuous improvement
  • Partner cross-functionally: work closely with Product and Design, plus clinicians and non-technical stakeholders, to ensure solutions meet real clinical and business needs
  • Improve systems and process: advocate for investments that improve architecture, quality, and performanceโ€”balancing traditional engineering approaches with thoughtful use of AI tooling
  • Operate with flexibility: thrive in ambiguity, ask questions, learn fast, and adapt team priorities as business needs evolve
  • Manage performance: with support from leadership and People partners, handle performance evaluations, promotions, coaching plans, and (when necessary) separations

What Our Client Is Looking For

  • Experience leading and mentoring engineers while remaining hands-on as a technical contributor
  • Strong full-stack product engineering background, ideally with modern frontend strengths (TypeScript/React)
  • Ability to make and defend architecture decisions, improve code quality, and build scalable patterns
  • Comfort working in a regulated or high-trust environment (healthcare experience is a plus; HIPAA familiarity is helpful)
  • Strong collaboration and communication skills, including working with clinicians and non-technical partners
  • Bias toward incremental delivery, measurable outcomes, and pragmatic execution
  • Curiosity and openness to using emerging tools (including AI tooling) to improve development practices and product outcomes

Why This Role

  • Direct impact on patients and clinicians through real clinical workflows
  • Player/coach scope with meaningful ownership over systems, standards, and team development
  • High-leverage work: architecture improvements, quality bar, delivery reliability, and cross-functional influence
  • A mission that matters, in a space where thoughtful engineering and compliance are non-negotiable