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Machine Learning Manager Jobs in Kentucky (NOW HIRING)

Xometry

Senior Machine Learning Engineer

Lexington, KY · Hybrid

$103.90K - $142.60K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... Strong execution skills in project management * Must be a US Citizen or Green Card holder (ITAR ...

Xometry

Senior Machine Learning Engineer

Lexington, KY · On-site

$103.90K - $142.60K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... Strong execution skills in project management * Must be a US Citizen or Green Card holder (ITAR ...

Pwc

CTIO AI Engineering Manager

Louisville, KY

$73.50K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Novolex

Senior Machine Operator

Florence, KY

$24.14/hr

Senior Machine Operator Florence, KY Compensation Includes * Starting pay rate $24.14/hour Overview ... Learning Management System that supports and enhances employee skills at all levels of the ...

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Machine Learning Manager information

See Kentucky salary details

$44.3K

$71K

$102.5K

How much do machine learning manager jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning manager in Kentucky is $70,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $80,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Kentucky? The most popular types of Machine Learning jobs in Kentucky are:
What are popular job titles related to Machine Learning Manager jobs in Kentucky? For Machine Learning Manager jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Kentucky look for? The top searched job categories for Machine Learning Manager jobs in Kentucky are:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Kentucky as of May 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 51% Physical, 5% Hybrid, and 44% Remote job distribution, with an average salary of $70,966 per year, or $34.1 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Xometry

Lexington, KY • Hybrid

$103.90K - $142.60K/yr

Other

Posted 23 days ago

Job description

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can't imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

  • At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform
  • Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers.
  • You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform
  • Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform
  • Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
  • Monitor machine learning models and AI performance and troubleshoot issues as they arise
  • Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively

Qualifications:

  • Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
  • Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
  • Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
  • A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
  • An engineer with a self-driven attitude who can own problems and deliver solutions
  • Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
  • A cloud practitioner who values the "shift-left" mentality by building systems with Infrastructure as Code, not console clicking
  • Data's at the heart of our systems, we hope it's yours too. You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis
  • Experience building and consuming CI/CD pipelines
  • Someone who knows their way around the command line and has experience working with *nix systems
  • 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
  • 3+ years experience leading cross-team engineering efforts
  • Strong execution skills in project management
  • Must be a US Citizen or Green Card holder (ITAR)

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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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