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Remote Machine Learning Engineer Jobs in Tennessee

DevOps Engineer

Tullahoma, TN ยท Remote

$45.75 - $62.50/hr

  • Medical

  • Retirement

... including remote work, mentoring and performance incentives. Arcarithm is currently seeking top ... machine learning, augmented and virtual reality, big data analytics, and more! We are excited to ...

Director, AI Engineering - Remote

Brentwood, TN ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a Full Time, remote Director, AI Engineering role. What You'll Do * Define and lead the ... machine learning. * Architect healthcare-specific AI solutions with expertise in health data ...

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.

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.

Showing results 21-40

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 Aug 19, 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 is a remote machine learning engineer?

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.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

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 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.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

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 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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $116,873 per year, or $56.2 per hour.

DevOps Engineer

Archarithms Inc

Tullahoma, TN โ€ข Remote

$45.75 - $62.50/hr

Full-time

Medical, Retirement

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

WE ARE ARCARITHM, and we are changing the world!

If you are ready to grow your career and change the world with us, then join the Arcarithm team!

We are located in beautiful, downtown Huntsville, AL, one of the fastest growing cities in the U.S.! At Arcarithm, we cultivate and foster an environment of integrity, open communication, work life balance, and career development. We are committed to investing in our employees by offering comprehensive health insurance options, a generous 401K plan, competitive salaries, continuous career growth opportunities, flexible schedules including remote work, mentoring and performance incentives.

Arcarithm is currently seeking top talent in the areas of full stack software development, artificial intelligence, optimization, and data analytics. You will work in a dynamic and challenging environment alongside our customers which include Lockheed Martin, General Dynamics, Northrop Grumman, Raytheon, US Army, US Navy, US Air Force, the Missile Defense Agency, and NASA on cutting edge technologies including machine learning, augmented and virtual reality, big data analytics, and more!

We are excited to continue to change and improve the world through innovation and technology! Contact us today to hear more about Arcarithm and all we offer!

Job Title: DevOps Engineer

Job Location: Tullahoma, TN

Job Description

We are seeking a highly motivated and experienced DevOps Engineer to join our dynamic team. This individual will play a critical role in designing, implementing, and maintaining our containerized infrastructure, primarily using Red Hat OpenShift. You will be responsible for ensuring the stability, scalability, and performance of our applications and services deployed on OpenShift and Kubernetes, while collaborating closely with development and operations teams to optimize our CI/CD pipelines. If you are passionate about cloud-native technologies, automation, and continuous improvement, we encourage you to apply.

DoD Active Secret clearance prior to start

Required Education/Experience:

    • Education: Bachelor\'s degree in Computer Science or a related field, or equivalent experience.

Required Skills:

    • Minimum of 3+ years of experience in DevOps, System Administration, Cloud Engineering, or a related role.
    • Minimum of 2+ years of hands-on experience with Red Hat OpenShift.
    • Proven experience with containerization technologies (Docker, Podman).
    • Experience with Kubernetes orchestration.
    • Experience with CI/CD pipelines and automation tools.
    • Experience with Linux system administration.
    • Experience with database administration (e.g., PostgreSQL, MySQL, MongoDB).
    • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
    • Experience with infrastructure-as-code tools (Terraform, Ansible) is a plus.

 

Responsibilities:

  • OpenShift and Kubernetes Management: 
    • Deploy, configure, and maintain Red Hat OpenShift clusters, including cluster upgrades, patching, and performance tuning.
    • Manage and troubleshoot Kubernetes objects such as Pods, Deployments, Services, Ingress, and ConfigMaps.
    • Implement and maintain security best practices within the OpenShift environment.
    • Monitor cluster health, performance, and resource utilization, identifying and resolving potential issues proactively.
    • Develop and maintain custom OpenShift Operators to automate application deployment and management.
  • Containerization and Orchestration: 
    • Build, test, and maintain container images using Docker or other containerization technologies.
    • Optimize container images for performance and security.
    • Develop and maintain container orchestration strategies for deploying and managing applications.
  • CI/CD Pipeline Automation: 
    • Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI, Azure DevOps, or similar.
    • Automate the build, test, and deployment of applications to OpenShift and other environments.
    • Integrate security testing into the CI/CD pipeline (e.g., static code analysis, vulnerability scanning).
  • System Administration: 
    • Manage Linux servers and virtual machines, including installation, configuration, and maintenance.
    • Troubleshoot system issues and performance bottlenecks.
    • Maintain and improve system security.
  • Database Management: 
    • Experience with deploying and managing databases within a containerized environment (e.g., PostgreSQL, MySQL, MongoDB).
    • Understand database performance tuning and optimization techniques.
    • Implement database backup and recovery strategies.
  • Collaboration and Documentation: 
    • Collaborate with development, operations, and security teams to ensure smooth application delivery.
    • Document procedures, configurations, and troubleshooting steps.
    • Participate in on-call rotation and incident response.
    • Contribute to the development of best practices and standards for containerization and deployment.
  • Cloud and Infrastructure Management: 
    • Work with Cloud Infrastructure Providers (AWS, Azure, GCP) to provision and maintain infrastructure.
    • Utilize infrastructure-as-code tools such as Terraform or Ansible.

Skills:

  • Technical Skills: 
    • Proficient in Red Hat OpenShift administration and troubleshooting.
    • Strong understanding of Kubernetes concepts and architecture.
    • Experience with containerization technologies (Docker, Podman).
    • Proficient in scripting languages (e.g., Bash, Python).
    • Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps).
    • Solid understanding of Linux system administration.
    • Knowledge of networking concepts and protocols.
    • Familiarity with database administration and management.
    • Knowledge of security best practices for containerized environments.
    • Experience with monitoring tools (e.g., Prometheus, Grafana).
    • Experience with logging and tracing tools (e.g., ELK stack, Jaeger).
  • Soft Skills: 
    • Strong problem-solving and analytical skills.
    • Excellent communication and collaboration skills.
    • Ability to work independently and as part of a team.
    • Ability to learn new technologies quickly.
    • Strong organizational and time management skills.
    • Ability to document processes and procedures clearly and concisely.

Bonus Points:

  • Red Hat Certified OpenShift Administrator (RHCSA) or Red Hat Certified Specialist in OpenShift Administration.
  • Kubernetes certifications (CKA, CKAD).
  • Experience with GitOps principles and tools (e.g., ArgoCD, Flux).
  • Experience with service mesh technologies (e.g., Istio, Linkerd).
  • Contributions to open-source projects.

Apply at www.arcarithm.com/employment

Arcarithm is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.