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Machine Learning Jobs in Gallatin, TN (NOW HIRING)

Machine Operator

Franklin, KY · On-site

$16 - $17/hr

Operator up -- let's get you started in your next role as a Machine Operator with an employee ... If you're ready to be immediately considered or are interested in learning more, call or visit us ...

Your expertise in machine operation, programming, and precision measurement will ensure efficient ... We are committed to fostering growth through continuous learning opportunities while ensuring a ...

Your expertise in machine operation, programming, and precision measurement will ensure efficient ... We are committed to fostering growth through continuous learning opportunities while ensuring a ...

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

Senior Data Scientist

Nashville, TN · On-site

$100K - $209K/yr

Stay current on advances in statistics, machine learning, and data science; assess and apply emerging methods to improve business processes, product capabilities, and decision quality. * Stay up-to ...

The Data Scientist combines strong technical expertise in statistical modeling and machine learning with solid business acumen to translate complex operational challenges into scalable analytical ...

Responsibilities - Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights - Overseeing the implementation of data infrastructure and ...

Showing results 41-60

Machine Learning information

See Gallatin, TN salary details

$24K

$40K

$82.7K

How much do machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning in Gallatin, TN is $40,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,200.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are popular job titles related to Machine Learning jobs in Gallatin, TN? For Machine Learning jobs in Gallatin, TN, the most frequently searched job titles are:
What cities near Gallatin, TN are hiring for Machine Learning jobs? Cities near Gallatin, TN with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Gallatin, TN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,023 per year, or $19.2 per hour.

Senior Data Scientist - Advanced Analytics (Remote)

FOCUSPOINT

Brentwood, TN • On-site

Full-time

Posted 10 days ago


Job description

Position: Senior Data Scientist – Advanced Analytics
Location: On site or remote
Employment Type: Ongoing contract
Compensation: Commensurate with experience
FocusPoint – Recruiting on behalf of a confidential client

FocusPoint is partnering with a confidential enterprise client seeking a Senior Data Scientist to lead hands-on development of machine learning and advanced analytics solutions that improve operational performance, reliability, efficiency, and decision-making across complex industrial environments.

This role is ideal for a senior practitioner who thrives in real-world settings, works independently across the full analytics lifecycle, and knows how to turn imperfect operational data into models that deliver measurable business value.

Position Summary

The Senior Data Scientist will collaborate with engineering, operations, and business teams to identify high-impact analytical opportunities, explore data, build predictive models, and deliver insights that drive meaningful outcomes. This position is focused on hands-on analytics, experimentation, and model development. It does not involve building enterprise ingestion pipelines or managing a team.

Key Responsibilities
  • Partner with cross-functional stakeholders to identify and prioritize high-value analytical problems

  • Translate operational challenges into predictive, statistical, or optimization models

  • Perform data discovery, exploratory analysis, cleansing, transformation, and feature engineering

  • Build, validate, and refine machine learning models using large, complex datasets

  • Collaborate with Data Engineering teams to productionize validated models

  • Monitor model performance, detect drift, and support retraining cycles

  • Communicate insights clearly to both technical and non-technical audiences

Required Experience
  • 7+ years of hands-on experience in Data Science, Machine Learning, or Advanced Analytics

  • Experience applying ML and statistical techniques within industrial, engineering, manufacturing, or operational environments

  • Proven ability to deploy models that deliver measurable business outcomes

  • Strong capability to work independently with incomplete or imperfect datasets

  • Experience partnering with Data Engineering teams to scale analytical solutions

  • Hands-on experience with operational, sensor, process, maintenance, supply chain, or other complex enterprise datasets

Technical Skills

Tools & Platforms

  • Azure (Data Factory, Synapse, Data Lake, ML), Databricks, Spark/PySpark

  • Python: Pandas, NumPy, SciPy, Scikit-Learn, Statsmodels

  • Machine learning frameworks: XGBoost, LightGBM, TensorFlow, PyTorch

  • Time-series forecasting, optimization, simulation modeling

  • Power BI, Plotly, Matplotlib, Seaborn

  • Git/GitHub, CI/CD, model monitoring, versioning, API development

Industrial & Enterprise Data

  • Experience with historian systems, SCADA/DCS platforms, IoT telemetry, reliability systems, or enterprise operational data sources

  • Experience with ERP or asset management data

Ideal Candidate Profile

The ideal candidate excels in environments where they can:

  • Work directly with operators, engineers, and business leaders

  • Move quickly from exploration to modeling to deployment

  • Build models that solve real operational problems

  • Communicate clearly and drive measurable outcomes

  • Thrive in ambiguity and imperfect data conditions


Why Work with FocusPoint
As a trusted staffing partner to industry-leading companies, FocusPoint provides access to roles that align with your professional goals, and we advocate for your success throughout the recruitment process. Our team understands appropriate skillsets and takes a consultative approach ensuring that each match is grounded in both experience and fit.


How to Apply
To ensure confidentiality and alignment with our client’s hiring process, all applications must be submitted through FocusPoint. Please do not attempt to contact the client directly. Interested candidates should reach out to FocusPoint’s recruitment team with any questions.


About FocusPoint:
FocusPoint specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.
 
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