ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Tennessee (NOW HIRING)

next page

Showing results 1-20

People also search for

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Tennessee

Machine Learning Engineer information

See Tennessee salary details

$28.6K

$116.9K

$175.6K

How much do machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for 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 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 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 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 are Machine Learning Engineers?

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 jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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 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 Machine Learning Engineer jobs in Tennessee? For Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Tennessee look for? The top searched job categories for Machine Learning Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Machine Learning Engineer jobs? Cities in Tennessee with the most Machine Learning Engineer job openings:
What are popular job titles related to Machine Learning Engineer jobs in TN? For Machine Learning Engineer jobs in TN, the most frequently searched job titles are:
Machine Learning Engineer jobs near you
Machine Learning Engineer - Coding - Remote

Machine Learning Engineer - Coding - Remote

Outlier AI

Hendersonville, TN • Remote

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Outlier helps the worlds most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer -- we want you to help us train the world's most advanced generative systems.


About the opportunity:

  • Outlier is looking for skilled software experts to help train generative AI models.
  • This freelance role is fully remote and offers flexible hoursyou can contribute whenever it fits your schedule.


You may contribute your expertise by

  • Developing objective, verifiable criteria (rubrics) to evaluate system performance and ensure outputs meet strict functional requirements.
  • Reviewing system logs and "trajectories" to refactor code, improve execution paths, and reach a "Golden Path" of perfect reliability
  • Testing systems for vulnerabilities, including improper data exposure, unauthorized access escalations, and edge-case failures.


Were looking for people with

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors



Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output
  • Hands on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.


Payment:

  • Project work: Earn up to USD $35 per hour for core project work
  • Additional incentives: On average, Outlier Contributors earn an additional 7.5% on top of the core project rates through Missions Outlier's version of surge pricing. The top quartile of contributors boost their earnings by an average of 11%.
  • Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates apply. Additional incentives data is based on payments made in the past six months and is updated quarterly. Certain projects offer incentive payments. Please review the payment terms for each project.


PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with the Outlier Privacy Policy and our internal policies and programs designed to protect personal data.

This is a 1099 contract opportunity on the Outlier.ai platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.

Apply