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Entry Level Machine Learning Engineer Jobs in Mount Juliet, TN

HCA Healthcare

Data Scientist

Nashville, TN · On-site

The Data Scientist II will apply statistical analysis, machine learning, data engineering, and data visualization techniques to identify opportunities to improve patient outcomes, operational ...

HCA Healthcare

Data Scientist

Lebanon, TN · On-site

The Data Scientist II will apply statistical analysis, machine learning, data engineering, and data visualization techniques to identify opportunities to improve patient outcomes, operational ...

Tao Digital Solutions, Inc.

Data Scientist

Nashville, TN · On-site

$60K/yr

Support senior data scientists in building and validating statistical and machine learning models ... Work closely with cross-functional teams including finance, data engineering, and business strategy ...

DataAnnotation

Software Engineer - AI Trainer

Nashville, TN · On-site +1

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Varsity Tutors

Data Science Tutor

Nashville, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Mount Juliet, TN

Entry Level Machine Learning Engineer information

See Mount Juliet, TN salary details

$28.3K

$65.5K

$111.4K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level machine learning engineer in Mount Juliet, TN is $65,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $74,100.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What job categories do people searching Entry Level Machine Learning Engineer jobs in Mount Juliet, TN look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Mount Juliet, TN are:

What cities near Mount Juliet, TN are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Mount Juliet, TN with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Mount Juliet, TN as of August 2026, with employment types broken down into 4% Internship, 83% Full Time, and 13% Contract. Highlights an 74% In-person, 2% Hybrid, and 24% Remote job distribution, with an average salary of $65,480 per year, or $31.5 per hour.

Associate Solutions Engineer, Commercial (Nashville - Onsite)

Motive

Nashville, TN

Full-time

Re-posted 13 days ago

Job description

About the Role:

As an Associate Solutions Engineer (ASE), your journey starts in the Academy phase, focusing on rigorous product training, specializing in our cutting-edge AI, ML, and IoT platform, mastering sales methodology, and developing foundational technical skills. Upon successful completion and graduation from the Academy phase, you are eligible to begin supporting the Commercial sales team on small, transactional deals. Successful performance in this role leads to subsequent progression opportunities to support new segments (Mid-Market, Enterprise) or specialist markets (Public Sector, Franchise, and Networks).

What You'll Do:
  • Participate fully in the Solutions Engineering Academy bootcamp, mastering core product knowledge, sales methodologies, and demonstration techniques.
  • Shadow and support the Commercial sales team throughout the sales cycle, including discovery calls and technical discussions, in preparation for a client-facing role.
  • Conduct internal practice demonstrations of the Motive product offering, effectively showcasing our core value proposition, specifically the capabilities driven by Artificial Intelligence and Machine Learning.
  • Develop expertise in Motive's integrated platform, spanning IoT hardware (in-vehicle devices, sensors), cloud-based data aggregation, and AI/ML features that automate complex operational workflows.
  • Learn to successfully match customer pain points and requirements to proposed solutions, articulating clear business benefits and foundational return on investment (ROI).
  • Rapidly become a subject matter expert on Motive's current product offering and future roadmap.
  • Collaborate closely with the Product Team to provide feedback from the field and assist with training on new feature releases.
  • Act as a technical liaison during the training phase between the sales team and various internal organizations, including Product, Engineering, and Customer Success, ensuring seamless information flow.
  • Prepare and deliver technical presentations and mock proposals that clearly articulate the value and functionality of Motive's solutions.
What We're Looking For:
  • Bachelor's Degree required
  • 0-1 years of professional experience. Internship experience in a pre-sales, technical support, or customer-facing role is a significant plus.
  • A strong desire and ability to quickly learn complex SaaS and hardware solutions, paired with a genuine interest in experimenting with and understanding how AI/ML models and IoT devices operate in real-world environments.
  • Excellent communication skills, both verbal and written, with the ability to explain complex technical concepts in an understandable way.
  • Proven analytical and problem-solving skills, with the ability to understand customer challenges and propose effective technical solutions.
  • The ability to quickly connect technical solution features to tangible business outcomes and value.
  • A strong desire to learn, grow, and execute in a dynamic and fast-paced environment.
  • Interest in the Transportation & Logistics industry is beneficial.

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