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Data Scientist Machine Learning Jobs in Kentucky

Samprasoft

Machine Learning Engineer

Covington, KY · On-site

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... Engineering, Computer Science, etc.) * 8+ years of proven experience in implementing Big data ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana, Inc.

Lead Data Scientist

Louisville, KY · On-site

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

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 ...

Purple Drive

Machine Learning Engineer

Louisville, KY · On-site

Machine Learning Engineer Location: Louisville, KY Responsibilities: * Build, train, and deploy ML ... Bachelor's/Master's in CS, Data Science, or related field. * Strong Python skills with ML ...

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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Data Scientist Machine Learning information

See Kentucky salary details

$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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What are the most commonly searched types of Data Scientist Machine Learning jobs in Kentucky? The most popular types of Data Scientist Machine Learning jobs in Kentucky are:
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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.
Principal Machine Learning Data Scientist, Gen AI

Principal Machine Learning Data Scientist, Gen AI

Xometry

Lexington, KY • Hybrid

Other

Posted 5 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

Xometry logo

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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