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Machine Learning Engineer Jobs in Maryville, TN (NOW HIRING)

Type One Energy

Real-Time Engineer

Knoxville, TN · On-site

Machine-learning inference * Translating mathematical models into executable real-time code What you'll need: * B.S. or M.S. in Software Engineering, Computer Engineering, Computer Science, or ...

Denso

Process Engineer 3

Maryville, TN · On-site

Utilizes advanced machine learning and computer vision techniques to enhance production quality ... Collaborate with mechanical, electrical, and software engineering teams to integrate vision systems ...

Denso

Process Engineer 3

Maryville, TN · On-site

Utilizes advanced machine learning and computer vision techniques to enhance production quality ... Collaborate with mechanical, electrical, and software engineering teams to integrate vision systems ...

Pilot Flying J

Sr Engineer, AI

Knoxville, TN · On-site

$86K - $118K/yr

Ensure application security, performance optimization, and scalability across the full stack Machine Learning Engineering & Operations * Design and optimize ML model deployment strategies for ...

CGI Inc.

AI/ML Engineer

Knoxville, TN · On-site

AI/ML Engineer Category: Software Development/ Engineering Main location: United States, Tennessee ... Machine Learning * Python (Anaconda) AI/ML * Retrieval-Augmented Gen.(RAG) What you can expect from ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Maryville, TN

Machine Learning Engineer information

See Maryville, TN salary details

$27.4K

$112.1K

$168.5K

How much do machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer in Maryville, TN is $112,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,400.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What cities near Maryville, TN are hiring for Machine Learning Engineer jobs? Cities near Maryville, TN with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Maryville, TN as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $112,146 per year, or $53.9 per hour.

Applications Engineer for Advanced Manufacturing

Oak Ridge National Laboratory

Knoxville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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 120 rated laboratories

Job description

Requisition Id 16890
Overview:
We are seeking a Sensor Application Engineer who will focus on design and installation and assist with the development (hardware and software), of sensor systems for advanced manufacturing systems. They will maintain sensor calibration and quality across a variety of machines and support the development of state-of-the-art sensor technologies and their usage in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL).
Major Duties/Responsibilities:
  • Design and install image-based and other sensing systems
  • Develop data acquisition software for sensing systems
  • Maintain and upgrade existing imaging and sensing systems
  • Develop new sensing techniques and technologies
  • Calibrate sensors and ensure data integrity for use in machine learning algorithms
  • Support R&D projects for the MSA Group and across the MDF
  • Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success.

Basic Qualifications:
  • BS in mechanical engineering, electrical engineering, mechatronics, robotics, computer engineering, computer science, or closely related field.
  • Programming experience, preferably in Python.
  • Strong desire to learn new skills and the ability to learn independently.
  • Excellent verbal communication skills.
  • Desire and ability to work collaboratively in a dynamic team environment.
  • At least three of the following:
    • Mechanical design experience using 3D CAD software
    • Experience with sensor instrumentation, particularly cameras and optics
    • Experience with microcontrollers and/or robotics
    • Experience with computer vision techniques
    • Experience with software development for real-time data acquisition
    • Knowledge and/or experience of metal additive manufacturing processes

Preferred Qualifications:
  • Working knowledge of machine learning and deep learning models, including their application within manufacturing environments
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:
  • Visa sponsorship: Visa sponsorship is not available for this position
  • Security, Credentialing, and Eligibility Requirements: Export control, no clearance: This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license. For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
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 and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a 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.
Other benefits include the following: 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, and 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.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
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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