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Remote Machine Learning Jobs in Elizabethton, TN

First Quality Retail Services

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

The Enterprise Data and Analytics team provides strategic direction, technical/functional expertise, and product management for First Quality's Data and Analytics systems and Machine Learning ...

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Elizabethton, TN

Remote Machine Learning information

See Elizabethton, TN salary details

$27K

$45.1K

$93.2K

How much do remote machine learning jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote machine learning in Elizabethton, TN is $45,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $48,700.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What cities near Elizabethton, TN are hiring for Remote Machine Learning jobs? Cities near Elizabethton, TN with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

VP, Head of Engineering Practice - Remote (Jersey City or Raleigh preferred)

Archgroup

Afton, TN • On-site, Remote

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Position Overview:

We are seeking a visionary and hands-on VP, Head of Engineering Practice to drive innovation across Engineering initiatives, shared services, and foundational frameworks. This role will be pivotal in shaping the engineering culture, establishing best practices, and delivering scalable, cloud-native solutions that power our enterprise platforms.

This is a hybrid, 3x per week, in-office position in our Jersey City or Raleigh Offices. We are also open to a fully remote hire with frequent travel to our Northeast offices.

Key Responsibilities:

  • Strategic Leadership & Governance:
    • Define and execute the engineering strategy for engineering initiatives and shared services
    • Facilitate Engineering Practice meetings with broad representation across teams, including Infrastructure and Security
    • Champion engineering excellence and modern development practices across the organization.
    • Lead workgroups/guilds focused on key engineering topics with defined charters and deliverables
    • Develop and maintain engineering policies and standards
  • Technology Delivery & Innovation:
    • Spearhead the creation of reusable libraries, templates, and frameworks to accelerate development across teams.
    • Lead the design and development of cloud-native, API-first applications with a strong emphasis on scalability, security, and performance.
    • Oversee reference implementations and participate in tool evaluations
    • Participate in architecture decisions and ensure alignment with enterprise standards and business objectives.
    • Drive adoption of DevOps, CI/CD, automated testing, and observability practices.
  • Innovation & Enablement:
    • Foster a culture of innovation and continuous improvement within engineering teams.
    • Collaborate with product and business leaders to identify opportunities for leveraging AI and emerging technologies.
    • Champion AI-driven solutions and integrate GenAI capabilities into engineering workflows (e.g., automated testing, release notes).
    • Establish engineering playbooks and best practices for full-stack development.
    • Build and mentor a team of Junior Engineers
    • Promote knowledge sharing and cross-functional collaboration.

Qualifications, Skills & Experience:

  • Proven experience as a Principal Engineer or senior technology leader with a strong hands-on full-stack background.
  • Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
  • Minimum 15+ years in software engineering, with at least 5 years in a senior technology leadership role.
  • Proven track record of leading large engineering teams and delivering complex enterprise solutions.
  • Expertise in Java, Spring Boot, Angular, and relational/non-relational databases.
  • Deep understanding of cloud-native architectures and API-first design principles.
  • Hands-on experience with Microsoft Azure and related services.
  • Strong knowledge of software engineering best practices, design patterns, and architectural principles.
  • Experience with microservices, containerization (Docker/Kubernetes), and event-driven architectures.
  • Demonstrated ability to lead large-scale engineering initiatives and deliver enterprise-grade solutions.
  • Experience in Insurance P&C domain is strongly preferred.
  • Familiarity in building AI-driven applications and integrating machine learning models into production systems
  • Excellent communication and leadership skills with the ability to influence at all levels.

#LI-Remote
#LI-ZP1

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$180,000 - $250,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

14400 Arch Insurance Group Inc.

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