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Ml Platform Engineer Jobs in Tennessee (NOW HIRING)

Lead the enhancement of the AI platform to improve the developer experience for data and ML engineers. Optimize workflows by integrating state-of-the-art tools and technologies, ensuring scalability ...

Lead the enhancement of the AI platform to improve the developer experience for data and ML engineers. Optimize workflows by integrating state-of-the-art tools and technologies, ensuring scalability ...

Lead the enhancement of the AI platform to improve the developer experience for data and ML engineers. Optimize workflows by integrating state-of-the-art tools and technologies, ensuring scalability ...

Lead the enhancement of the AI platform to improve the developer experience for data and ML engineers. Optimize workflows by integrating state-of-the-art tools and technologies, ensuring scalability ...

Like a mosaic, our platform unites data, people, and processes so providers can make better ... Audit, refactor, and consolidate existing ML pipelines and deployment processes to eliminate ...

Machine Learning Operations Engineer

Nashville, TN · On-site +1

$51 - $69.75/hr

Like a mosaic, our platform unites data, people, and processes so providers can make better ... Audit, refactor, and consolidate existing ML pipelines and deployment processes to eliminate ...

Machine Learning Operations Engineer

Nashville, TN · On-site

$51 - $69.75/hr

Like a mosaic, our platform unites data, people, and processes so providers can make better ... Audit, refactor, and consolidate existing ML pipelines and deployment processes to eliminate ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ... This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ...

Our engineers embed deeply with customers, moving projects beyond experimentation into operational ... Minimum of 2 years experience with modern AI/ML platforms such as: * OpenAI, Anthropic, or similar ...

Our engineers embed deeply with customers, moving projects beyond experimentation into operational ... ML platforms such as: * OpenAI, Anthropic, or similar foundation model providers * Workflow ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ... This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ...

Showing results 21-40

Ml Platform Engineer information

See Tennessee salary details

$30

$58

$86

How much do ml platform engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ml platform engineer in Tennessee is $58.05, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $66.97 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

What are popular job titles related to Ml Platform Engineer jobs in Tennessee?

For Ml Platform Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Ml Platform Engineer jobs in Tennessee look for?

The top searched job categories for Ml Platform Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Ml Platform Engineer jobs?

Cities in Tennessee with the most Ml Platform Engineer job openings:

Infographic showing various Ml Platform Engineer job openings in Tennessee as of August 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $120,737 per year, or $58 per hour.

Senior Linux Engineer (Classified Environment)

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 121 rated laboratories


Job description

Senior Linux Engineer (Classified Environment)

The Field Intelligence Operations Division (FIOD) of the National Security Directorate (NSSD) is seeking a highly skilled, cutting-edge Senior Linux Engineer to lead the design, evolution, and modernization of secure computing environments supporting some of the nation’s most consequential national security, intelligence, and scientific missions.

This is more than a traditional Linux engineering role. You will operate at the intersection of advanced Linux architecture, cybersecurity, HPC, AI/ML, and classified computing, leading complex technical efforts and shaping secure, scalable, and resilient infrastructure where performance and reliability are mission critical.

As a senior technical contributor, you will help set technical direction, influence architecture, introduce emerging technologies, and solve the most challenging infrastructure problems across multiple security domains. You will collaborate with engineers, cybersecurity professionals, scientists, researchers, and mission partners while providing technical leadership and mentorship to others.

We are looking for someone with deep Linux expertise and an engineering mindset who enjoys architecting, building, automating, and solving difficult problems—and who can turn complex mission requirements into innovative, sustainable technical solutions.

If you want to remain hands‑on while helping shape the future of secure computing, this is an opportunity to lead technically, influence what comes next, and build systems that matter.

Major Duties/Responsibilities:

  • Lead the design, engineering, and modernization of secure Linux infrastructure supporting classified national security, intelligence, scientific, HPC, and emerging mission environments.
  • Architect, build, optimize, and sustain enterprise Linux platforms, primarily Red Hat Enterprise Linux (RHEL) or Ubuntu, across physical and virtual environments and multiple security domains.
  • Lead automation and infrastructure modernization using Ansible, Python, Bash, Git, and infrastructure-as-code practices to improve scalability, security, reliability, and operational efficiency.
  • Design and implement secure computing solutions aligned with RMF, NIST 800-53, STIGs, DOE directives, and ICD 503, including system hardening, vulnerability remediation, monitoring, and compliance.
  • Engineer Linux integration with enterprise identity, virtualization, storage, backup, monitoring, and security platforms, including Active Directory, LDAP, Kerberos, PKI, VMware, and KVM.
  • Serve as a technical authority and escalation point for complex Linux and infrastructure challenges, performing root‑cause analysis and developing sustainable engineering solutions.
  • Evaluate and introduce emerging technologies, architectures, and engineering approaches, including HPC, AI/ML, GPU computing, containers, and other advanced computing capabilities.
  • Collaborate with cybersecurity, networking, storage, application, HPC, and mission teams to translate complex requirements into secure, resilient, and scalable technical solutions.
  • Provide technical leadership and mentorship to other engineers while helping establish engineering standards, best practices, and technology roadmaps.
  • Support mission‑critical operations, planned maintenance, and occasional after‑hours requirements.

Basic Qualifications:

  • BS degree in a related technical field and at least eight years of Linux systems engineering or administration experience. Equivalent education, experience, and relevant certifications may be considered.
  • Current Top‑Secret clearance with SCI eligibility.
  • Advanced expertise in RHEL/Linux engineering, architecture, troubleshooting, performance optimization, and lifecycle management.
  • Demonstrated experience with Ansible, Python, Bash, automation, and infrastructure‑as‑code practices.
  • Experience designing or integrating enterprise virtualization, identity, storage, monitoring/logging, and cybersecurity capabilities.
  • Demonstrated ability to independently lead complex technical efforts, make sound engineering decisions, and solve challenging cross‑functional infrastructure problems.

Preferred Qualifications:

Experience in one or more of the following:

  • Classified, Intelligence Community, DoD, DOE, or other highly regulated computing environments.
  • HPC, AI/ML infrastructure, GPU computing, containers, Kubernetes, or advanced computing platforms.
  • RMF, NIST 800-53, STIG implementation, vulnerability management, and system authorization activities.
  • Designing and implementing enterprise virtualization, storage, backup, resiliency, and disaster‑recovery architectures.
  • Leading major infrastructure modernization, technology refresh, or platform engineering initiatives.
  • Relevant advanced Linux, automation, cybersecurity, virtualization, or cloud certifications.

Special Requirements:

  • Visa sponsorships: Visa sponsorship is not available for this position.
  • Physical Requirements: Work may involve various physical requirements and working conditions.
  • Security, Credentialing, and Eligibility Requirements: Q Clearance with SCI: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre‑placement drug test and participation in an ongoing random drug testing program. In addition, due to the SCI, you may also be subject to random polygraph testing.
  • Sensitive Access:Eligibility for access to Sensitive or Special Access Program Information

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract andretainindividuals whodemonstrateexceptional work behaviors. The laboratoryprovidesa range of employee benefits, including medical and retirement plans and flexible work hours, to support the well‑being of you and your family. Employee amenities such as on‑site fitness, banking, and cafeteria facilities are also available for added convenience.

  • Prescription Drug Plan
  • Dental Plan
  • Vision Plan
  • 401(k) Retirement Plan
  • Contributory Pension Plan
  • Life Insurance
  • Disability Benefits
  • Generous Vacation and Holidays
  • Parental Leave
  • Legal Insurance with Identity Theft Protection
  • Employee Assistance Plan
  • Flexible Spending Accounts
  • Health Savings Accounts
  • Wellness Programs
  • Educational Assistance
  • Relocation Assistance
  • Employee Discounts

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.


ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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