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Data Science Machine Learning Jobs in Kentucky (NOW HIRING)

Xometry

Senior Machine Learning Engineer

Lexington, KY · On-site

$103K - $142K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... Experience with large scale data processing (e.g., Hands-on experience training and applying models ...

Bespoke Labs

Machine Learning Engineer

Owensboro, KY · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

OneSix - External

Lead Data Scientist

Canada, KY · On-site +1

$160K - $200K/yr

Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems.

Bespoke Labs

Machine Learning Engineer

Covington, KY · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Louisville, KY · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Frankfort, KY · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Lexington, KY · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Kanshe Infotech

Data Science Training

Lexington, KY

We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting ...

Kanshe Infotech

Data Science Training

Lexington, KY · On-site

... on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT employment ...

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Showing results 1-20

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 Jun 29, 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.

Which has more salary, CS or AI?

Data Science and Machine Learning roles in AI generally have higher salaries than traditional computer science positions due to specialized skills in deep learning, neural networks, and advanced algorithms. AI roles often require expertise in programming languages like Python and frameworks such as TensorFlow, which are highly valued in the job market. Salaries vary by experience, location, and industry, but AI-focused positions tend to offer higher compensation on average.

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 engineers make $500,000?

Senior data science and machine learning engineers with extensive experience, advanced skills in programming, statistical analysis, and deep learning, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

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 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.

Do data scientists work with machine learning?

Data scientists often work with machine learning as a core part of their role, developing models to analyze data and make predictions. They use tools like Python, R, and libraries such as scikit-learn or TensorFlow to build and deploy machine learning algorithms. Knowledge of statistics, programming, and data manipulation is essential for this work.

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.

Which 3 jobs will survive AI?

Data science and machine learning roles are expected to persist as they require complex problem-solving, domain expertise, and creativity that AI tools currently cannot fully replicate. Jobs involving strategic decision-making, ethical considerations, and interpersonal skills, such as data analysts, AI ethics specialists, and AI system trainers, are also likely to remain in demand. Continuous learning and proficiency with AI tools will be essential for these roles to adapt and thrive.
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Kentucky as of June 2026, with employment types broken down into 56% Full Time, 38% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,602 per year, or $51.3 per hour.

Health Team Documentation Specialist

JB Software and Consulting Inc

Louisville, KY • Remote

$29/hr

Contractor

Posted 27 days ago

Job description

Company Description

Rate : $29

Title: Health Team Documentation

Location: Louisville, KY 40202

Duration: 6+months

Job Description:

SHORT TERM ASSIGNMENT WITH OPPORTUNITY TO BE EXTENDED BUT CANNOT BE GUARANTEED
Currently Work at Home; however local candidate to Louisville is preferred.  Candidate may be required to travel into Louisville office on occasion
Schedule: Monday-Friday; 8am-5pm.  Candidate will be working with teams of potentially 5-10 team members
*Video interviews will be conducted with selected candidates
As a Health Team Documentation Specialist, you would perform the following tasks:
Create process documentation/workflows, knowledge articles and self-service guidance
Collect and document of business requirements for project and process improvement
Facilitate process workflow modeling in order to collaborate on process improvements, automation capabilities and clearly defined end-to-end use cases
Creates and maintains technical writing standards.
Writes, modifies/changes controlled documents.
Writes, reviews, and maintains department standard operating procedures.
Edit, standardize, or make changes to materials prepared by other writers or personnel.
Develop and maintain a wide range of documentation with a focus on internal help guides and support systems
Create Visio flow diagrams
Create workflows
Assist with other duties as needed
Requirements:
BS/BA or equivalent work experience
3+ years of Healthcare writing experience with processes/policies/procedures
Experience mapping processes using Visio or similar tools
Microsoft Office/Suite proficient (Excel, PowerPoint, Word, Visio, etc.)
Project management experience
Knowledge of or experience documenting APIs, frameworks, libraries, tools, systems, and workflows in domains such as web, mobile, distributed systems, data science, machine learning, and devops

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply