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Data Science Machine Learning Jobs in Kentucky (NOW HIRING)

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 ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 ...

Humana, Inc.

Lead Data Scientist

Louisville, KY · On-site

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 ...

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 ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

$142.30K - $195.70K/yr

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 ...

Aquent

Lead Data Scientist

Lexington, KY · On-site +1

$180K - $200K/yr

D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or related field * 4+ years of experience in AI/ML research, data science, or ML engineering * 2+ years leading ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · Hybrid

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · On-site

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

Varsity Tutors

Machine Learning Tutor

Louisville, KY · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Lexington, KY · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Kentucky

Data Science Machine Learning information

See Kentucky salary details

$32.6K

$106.6K

$170.7K

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

As of May 30, 2026, the average yearly pay for data science 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 are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What are popular job titles related to Data Science Machine Learning jobs in Kentucky? For Data Science Machine Learning jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Science Machine Learning jobs in Kentucky look for? The top searched job categories for Data Science Machine Learning jobs in Kentucky are:
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Kentucky as of May 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 53% Physical, 4% Hybrid, and 43% Remote job distribution, with an average salary of $106,602 per year, or $51.3 per hour.
Principal Machine Learning Data Scientist, Gen AI

Principal Machine Learning Data Scientist, Gen AI

Xometry

Lexington, KY • Hybrid

Other

Posted 7 days ago

Job description

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities: 

  • Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
  • Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives.
  • Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
  • Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
  • Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
  • Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
  • Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
  • Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities.
  • Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
  • Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

Qualifications:

  • A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
  • 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.
  • Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).
  • Experience with multimodal data processing (e.g., combining text, image, and 3D data).
  • Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
  • Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
  • Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
  • Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
  • Experience in the manufacturing, supply chain, or similar industries is a plus.

#LI-Hybrid

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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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