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Machine Learning Engineer Jobs in Lexington, KY (NOW HIRING)

Kanshe Infotech

Data Science Training

Lexington, KY · On-site

Company Description Kanshe Infotech - Houston, TX Kanshe Infotech is committed and noticed in the Information Technology industry as a company with exceptional talent and expertise in the area of ...

Kanshe Infotech

Data Science Training

Lexington, KY

Company Description Kanshe Infotech - Houston, TX Kanshe Infotech is committed and noticed in the Information Technology industry as a company with exceptional talent and expertise in the area of ...

Munich RE

Principal Data Scientist - FCAS

Berea, KY · On-site

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised ...

Munich Re

Principal Data Scientist - FCAS

Berea, KY · On-site +1

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised ...

CYNET SYSTEMS

Engineer

Georgetown, KY · On-site

$40 - $42/hr

Experience in automotive manufacturing, specifically powertrain assembly and machining ... B.S. in Engineering preferred. * Technical Degree in CAE or 3+ years of experience in CAE ...

Varsity Tutors

Statics Tutor

Lexington, KY · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Statics and Dynamics Tutor

Lexington, KY · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Sargent & Lundy

Lead Substation Engineer 2 - Grid

Lexington, KY · Hybrid

$101K - $134K/yr

Develop your career via peer-learning through sharing of knowledge with other experienced engineers by way of Sargent & Lundy's systems of process and associated "Communities of Practice." * Provide ...

New

Sargent & Lundy

Lead Substation Engineer 2 - Grid

Lexington, KY · Hybrid

$101K - $134K/yr

Develop your career via peer-learning through sharing of knowledge with other experienced engineers by way of Sargent & Lundy's systems of process and associated "Communities of Practice." * Provide ...

New

Schnabel Engineering

Senior Engineer

Lexington, KY · On-site

$91K - $126K/yr

Schnabel is an employee-owned, professional engineering and consulting firm that focuses on solving problems related to the earth and environment through specialization in geotechnical, geostructural ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Lexington, KY

Machine Learning Engineer information

See Lexington, KY salary details

$31K

$126.9K

$190.7K

How much do machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning engineer in Lexington, KY is $126,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Lexington, KY?

The most popular types of Machine Learning Engineer jobs in Lexington, KY are:

What are popular job titles related to Machine Learning Engineer jobs in Lexington, KY?

For Machine Learning Engineer jobs in Lexington, KY, the most frequently searched job titles are:

What cities near Lexington, KY are hiring for Machine Learning Engineer jobs?

Cities near Lexington, KY with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Lexington, KY as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $126,908 per year, or $61 per hour.

Data Architect Senior Staff

Lockheed Martin Corporation

Lexington, KY • On-site

$64 - $85.75/hr

Full-time

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

Lockheed Martin rating

8.1

Company rating: 8.1 out of 10

Based on 392 frontline employees who took The Breakroom Quiz

41st of 72 rated aerospace companies

Job description

LockheedMartin is seeking a seasoned Data Architect, Team Lead to act as a servant leader for a high performing data management team. In this role you will define, design, and govern enterprise wide data solutions, ensure compliance with DoD/SOFSA policies, and serve as the central point of contact for all data related support requests. You will partner with data stewards, program managers, and the Data Governance Council to deliver secure, high quality data that drives mission critical decision making.
Key Responsibilities
Leadership
Model servant leadership; coach the team, conduct peer reviews of technical artifacts, and promote autonomy without micromanagement.
Report directly to the Data Program Manager and contribute to strategic road maps.
Architecture & Design
Define physical/virtual data structures, security, backup & recovery specifications.
Create and maintain conceptual, logical, and physical data models; develop ETL, reporting, and analytics pipelines.
Select, configure, and operate the enterprise Data Management Platform (e.g., IBM Cloud Pak for Data) in line with DoD/SOFSA IT standards.
Data Governance & Quality
Enforce formal data standard processes; maintain the metadata registry and data dictionary.
Establish, track, and report KPIs for data quality, accessibility, security, and ROI.
Design and maintain automated validation rules; execute data quality checks (automated & manual) and cleansing activities.
Service & Support
Serve as the primary liaison for data related tickets; ensure timely resolution through the Service Delivery System (IT Ticket System).
Provide Level2 support for data queries and Service Level Agreement (SLA) compliance.
Delegate complex issues to the Data Management team as needed.
Stakeholder Collaboration
Partner with department data stewards to capture comprehensive data sets and document collection processes.
Present performance metrics via SAP BusinessObjects dashboards to the Data Governance Council.
Lead the Data Management Working Group and define data steward responsibilities and reporting structures.
Security & Compliance
Implement data security safeguards (encryption, monitoring, access control) and ensure alignment with cybersecurity policies.
Maintain an auditable configuration management baseline for all data dictionary changes.
Advanced Analytics & Modeling - Typical Duties
Analyze data to extract insights and uncover actionable findings by combining the scientific method, mathematics, statistics, specialized programming, advanced analytics, AI, and storytelling.
Conduct hypothesis testing and statistical analysis of data sources to provide actionable recommendations.
Build predictive, prescriptive, or descriptive models in collaboration with stakeholders.
Plan and execute complex analytical, mathematical, and statistical research that informs operational requirements.
Design and run advanced studies using data modeling techniques, trend analysis, and custom algorithms.
Program custom algorithms and train/evaluate machine learning models; write and document reproducible code.
Utilize open source languages and quantitative techniques (e.g., descriptive & inferential statistics, sampling, experimental design, parametric & non parametric tests, OLS regression, generalized linear models).
Assist integrated project teams in identifying, curating, and managing test data.
Apply DoD/best practice cybersecurity principles, addressing cyber threats and vulnerabilities to deliver secure solutions.
#sofglss

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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