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Machine Learning Jobs in Lexington, KY (NOW HIRING)

Data Science Tutor

Lexington, KY · 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 ...

Full Stack Java Developer

Richmond, KY · On-site

$48.50 - $62.75/hr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re company ...

Python Tutor

Lexington, KY · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Linear Algebra Tutor

Lexington, KY · Remote

$18 - $40/hr

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

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 ...

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Showing results 1-20

Machine Learning information

See Lexington, KY salary details

$25.3K

$42.3K

$87.5K

How much do machine learning jobs pay per year?

As of Jun 27, 2026, the average yearly pay for machine learning in Lexington, KY is $42,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some 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 jobs 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 the Machine Learning position, and why are they important?

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.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are the most commonly searched types of Machine Learning jobs in Lexington, KY? The most popular types of Machine Learning jobs in Lexington, KY are:
What are popular job titles related to Machine Learning jobs in Lexington, KY? For Machine Learning jobs in Lexington, KY, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Lexington, KY look for? The top searched job categories for Machine Learning jobs in Lexington, KY are:
What cities near Lexington, KY are hiring for Machine Learning jobs? Cities near Lexington, KY with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Lexington, KY as of June 2026, with employment types broken down into 2% Internship, 69% Full Time, 24% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,324 per year, or $20.3 per hour.
Post-doctoral Scholar

Post-doctoral Scholar

University of Kentucky

Lexington, KY • On-site

Full-time

Posted 29 days ago


University Of Kentucky rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

267th of 541 rated colleges and universities


Job description

Posting Details
Posting Details
Job Title
Post-doctoral Scholar
Requisition Number
DU14368
Department Name
7H045: Barnstable Brown Diabetes Center
Work Location
Lexington, KY
Salary Range
Commensurate with experience
Type of Position
Student
Position Time Status
Full-Time
Required Education
PhD
Required Related Experience
Experience in life science or related disciplines.
Required License/Registration/Certification
N.A.
Physical Requirements
pushing, pulling, or lifting items up to 50 lbs.
Shift
Primarily days. Evenings and weekends as needed based on ongoing research experiments.
Job Summary
The Emfinger lab in the Barnstable Brown Diabetes Center explores factors that drive diabetes risk by altering insulin secretion and action, focusing on ways in which these factors interact. Projects use machine learning methods and omics data to nominate candidate drivers of islet responses, identify potential conditional dependencies between them, and validate them using wet-lab experiments in mice and human tissues.
Dr. Emfinger is looking to recruit Postdoctoral Scholars interested in islet biology and machine learning. The Postdoctoral scholar will have the opportunity to collect data, analyze large datasets, prepare manuscripts (as first or co-author), and present work at conferences. The environment at UK is open and collaborative and draws from multiple disciplines in endocrinology, biostatistics, genetics, metabolism, and other areas with which there are opportunities to collaborate. The Scholar will also be supported in their own grant applications (e.g. fellowships, pilot proposals). The Scholar is encouraged to develop their own projects related to the goals of the lab. Techniques of interest in these projects include adenoviral transfection of cells/tissues, generation of islet organoids, islet perifusion and islet imaging assays, in vivo assays of metabolism (e.g. glucose tolerance tests), and developing novel machine learning models (in Python and R).
Experience with mammalian cell and tissue culture, transfections, and in vivo phenotyping (particularly oral gavage in mouse models) is required.
Please include a statement of research interests within the cover letter of no more than two pages.
Skills / Knowledge / Abilities
• Strong motivation for metabolic research.
• Some experience working with mice.
• Proficiency in English.
• Interest in learning new techniques.
Does this position have supervisory responsibilities?
No
Preferred Education/Experience
Background in metabolic research preferred.
Deadline to Apply
12/31/2026
Our University Community
We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco & Drug Free campus.
The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status.
Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

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About University of Kentucky

Sourced by ZipRecruiter

The University of Kentucky (UK), the state's flagship university, was founded in 1865 and its beautiful, sprawling campus, nestled in downtown Lexington, now covers over 900 acres and is home to more than 30,000 students and approximately 13,500 employees. The trees and beautifully manicured greenspaces are a source of pride for the university and combine to create an impressive oasis amidst the busy cityscape that surrounds it.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Lexington, KY, US

Year founded

1865