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Machine Learning Engineer Opt Jobs in Nicholasville, KY

Varsity Tutors

Linear Algebra Tutor

Lexington, KY · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Toyota

Skilled Maintenance Technician

Georgetown, KY · On-site

... STEM OPT, F-1 CPT, 'job flexibility benefits' [also known as I-140 or Adjustment of Status ... Write, program, troubleshoot, modify, and/or repair programmable logic controllers, CNC machines ...

Toyota

Skilled Maintenance Technician

Georgetown, KY · On-site

... STEM OPT, F-1 CPT, 'job flexibility benefits' [also known as I-140 or Adjustment of Status ... Write, program, troubleshoot, modify, and/or repair programmable logic controllers, CNC machines ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Nicholasville, KY

Machine Learning Engineer Opt information

See Nicholasville, KY salary details

$27.9K

$113.9K

$171.1K

How much do machine learning engineer opt jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning engineer opt in Nicholasville, KY is $113,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $137,000.00 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 into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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

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

Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in Nicholasville, KY as of August 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $113,857 per year, or $54.7 per hour.

Production Engineering (PE) Co-op

Toyota

Georgetown, KY • On-site

Full-time

Re-posted 5 hours ago

Toyota rating

7.2

Company rating: 7.2 out of 10

Based on 876 frontline employees who took The Breakroom Quiz

23rd of 45 rated automakers

Job description

Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.
To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.
Production Engineering Overview
The Production Engineering (PE) Division is responsible for designing and building assembly lines, machines, and factories that build Toyota vehicles, engines, and transmissions. Production Engineering also leads new model introductions across the region through planning, procuring, installing, trialing, and launching assembly lines.
Who we're looking for
As a co-op in Toyota Production Engineering, you will be assigned between one and three projects that deliver tangible value to the organization. These projects may involve initiatives such as reducing costs or defects, enhancing machine efficiency, gathering and analyzing production data, redesigning parts or components for improved manufacturability, optimizing floor layouts, and implementing comprehensive safety checks and procedures, among other responsibilities.
Furthermore, you will operate within a collaborative team setting, with an assigned manager to oversee your daily responsibilities and guide your development plan, as well as a mentor dedicated to supporting your personal and professional objectives.
Co-op's will work on a variety of engineering assignments in the following groups:
  • Battery Manufacturing Engineering - Battery Cell, Battery Pack
  • Environmental & Facilities Engineering
  • Unit and Core Engineering - Stamping, Plastics and Powertrain
  • Vehicle Manufacturing Engineering - Body, Assembly, Paint
  • Manufacturing Business Operations - Advanced Planning, Strategy and Planning, Manufacturing Project Innovation, Safety

What you bring
  • Must be 18 years of age or older
  • Minimum GPA of 2.7 or higher
  • Must have the right to work in the United States and not require Toyota sponsorship for immigration-related employment (including but not limited to H-1B, O-1, E-3, H-1B1, TN, or F-1 OPT extension) now or in the future
  • Must have completed at least one full academic year at a two-year or four-year college or university post-high school (sophomore standing or above)
  • Currently enrolled in a full-time, accredited degree program (this includes both two-year and four-year college/university) studying in an Engineering discipline, such as: Mechanical, Electrical, Chemical, Industrial, Manufacturing, Environmental, Mechatronics, Civil and Aerospace Engineering
  • Must have a reliable transportation

What we'll bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
  • A work environment built on teamwork, flexibility and respect
  • Professional growth, development programs and opportunities

Locations
Georgetown, KY (PE Headquarters & TMMK); Princeton, IN (TMMI); San Antonio, TX (TMMTX); Huntsville, AL (TMMAL), Huntsville, AL (MTMUS); Blue Springs, MS (TMMMS); Buffalo, WV (TMMWV); Troy, MO (TMMMO); Jackson, TN (TMMTN) and Liberty, NC (TBMNC)
Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

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