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Remote Machine Learning Engineer Jobs in Tennessee

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Senior AI Engineer

Nashville, TN ยท On-site +1

$100K - $138K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Software Engineer, Data Privacy & De-Identification About the Company - Series A A rapidly growing ... Its platform supports a broad range of healthcare applications, including machine learning, medical ...

This role requires a strong technical background in AI and machine learning, combined with the ... I. program to identify opportunities for AI integration and engineer the scale required for ...

This role requires a strong technical background in AI and machine learning, combined with the ... I. program to identify opportunities for AI integration and engineer the scale required for ...

Data Engineer

Afton, TN ยท On-site +1

$100K - $120K/yr

... Machine Learning applications. The Data Engineer, as a key member of the Enterprise Data and ... Analytics team, provides technical leadership for the definition, design, and delivery of First ...

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Remote Machine Learning Engineer information

See Tennessee salary details

$28.6K

$116.9K

$175.6K

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

As of Jul 9, 2026, the average yearly pay for remote machine learning engineer in Tennessee is $116,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $140,700.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Tennessee? The most popular types of Machine Learning Engineer jobs in Tennessee are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Tennessee? For Remote Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Remote Machine Learning Engineer jobs? Cities in Tennessee with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Tennessee as of July 2026, with employment types broken down into 93% Full Time, 2% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,873 per year, or $56.2 per hour.

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

Archgroup

Afton, TN โ€ข On-site, Remote

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 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.