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Data Scientist Machine Learning Jobs in Kentucky

Indeed

Machine Learning Engineer

Louisville, KY · On-site

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You collaborate with engineers, data scientists, and product teams to define problems, test ...

Indeed

Machine Learning Engineer III

Louisville, KY · On-site

On a daily basis, you will explore data and formulate problem statements, develop and deploy ... Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 8 ...

Indeed

Staff Machine Learning Engineer

Louisville, KY · On-site

On a daily basis, you will explore data and formulate problem statements, develop and deploy ... Requires a minimum of 8 years of related experience with a Bachelor's degree in Computer Science ...

Varsity Tutors

Data Science Tutor

Lexington, KY · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Louisville, KY · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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$32.6K

$106.6K

$170.7K

How much do data scientist machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist machine learning in Kentucky is $106,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $118,100.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.
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Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Kentucky as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,602 per year, or $51.3 per hour.
Staff Machine Learning Engineer - Generative AI

Staff Machine Learning Engineer - Generative AI

Xometry

Lexington, KY • On-site

Other

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

Job description

Staff Machine Learning Engineer - Generative AI

Lexington, KY

Xometry powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a staff machine learning engineer to lead our generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.

Responsibilities:
  • Lead with vision – Set the technical direction for our generative AI team, establish best practices, and inspire high-impact innovation.
  • Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace.
  • Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
  • Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
  • Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets.
  • Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale.
  • Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
  • Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
  • Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.
Qualifications:
  • Bachelor's degree required; advanced degree (M.S. or PhD) in computer science, machine learning, AI, or related field is a big plus.
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
  • Hands-on experience with multimodal data (text, images, 3D).
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
  • Solid grounding in probability, statistics, and optimization for generative modeling.
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
  • Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more.
  • Must be a U.S. Citizen or Green Card holder (ITAR compliance)

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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