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Artificial Intelligence Machine Learning Engineer Jobs in Kentucky

$180 - $240/hr

Lead Artificial Intelligence/Machine Learning Engineer Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or ...

New

$149 - $170/hr

FTS has an opportunity for an Artificial Intelligence/Machine Learning Systems Engineer in Chantilly, VA. TheArtificial Intelligence/Machine Learning Systems Engineer willsupport a USG Program Office ...

$140 - $210/hr

We are seeking an experienced Senior Generative AI / Agentic AI Engineer to design, develop, and implement AI-powered solutions using Generative AI, Agentic AI, RAG, Custom GPTs, and workflow ...

$99 - $225/hr

Artificial Intelligence and Machine Learning Engineer The Opportunity: As an experienced engineer, you know that agentic AI is transforming how organizations operate, make decisions, and deliver ...

$146 - $319/hr

Design and implement machine learning systems, models, and schemes * Research and apply ... If filled as R&D Engineer - Artificial Intelligence (ARL) - Principal Professional, this position ...

$140 - $175/hr

Experience using Programming Language such as Python, Java, C++ or SQL a plus. Licenses ... Machine Learning Framework * Artificial Intelligence * Statistical Analysis * Root Cause Analysis ...

$196 - $294/hr

As a Sr. Machine Learning Engineer at Klaviyo , you will help build models that extract insights ... Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field ...

New

$111 - $241/hr

This team serves as the foundation for effective machine learning--building, curating, and ... Required Certifications: None If filled as R&D Engineer - Artificial Intelligence (ARL ...

$120 - $180/hr

As an Artificial Intelligence/Machine Learning Engineer with Wyetech, you will work directly with mission users to capture these workflows, document operational decision points, and translate them ...

$120 - $150/hr

The AI/Machine Learning Engineer IIwill be part of the R&D team at Masimo with focus on design and ... Experience in artificial intelligence, machine learning and/or deep learning within the medical ...

$120 - $135/hr

About the Role: We're looking for an Artificial Intelligence Engineer to help design, develop, and ... Design, develop, and deploy machine learning models that support business decision-making and ...

$196 - $294/hr

As a Sr. Machine Learning Engineer at Klaviyo , you will help build models that extract insights ... Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field ...

$96 - $139/hr

Deep expertise in artificial intelligence, with a track record of implementing advanced AI ... Collaborate with machine learning, software engineering, product development, sales, and cross ...

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Artificial Intelligence Machine Learning Engineer information

See Kentucky salary details

$27.4K

$111.8K

$168.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for artificial intelligence machine learning engineer in Kentucky is $111,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $134,600.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

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

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Kentucky?

For Artificial Intelligence Machine Learning Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Kentucky look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in Kentucky with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $111,839 per year, or $53.8 per hour.

Lead Artificial Intelligence/Machine Learning Engineer

Talanto

On-site

$180 - $240/hr

Other

Posted 3 days ago

New


Job description

Lead Artificial Intelligence/Machine Learning Engineer

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

Lead Artificial Intelligence/Machine Learning Engineer to join our team full-time in the US.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Lead Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Responsibilities:

  • Manage engineers across the central platform team and delivery pods (mix of contractors and internal engineers)
  • Own engineering standards: code and agent quality, review practices, definition of done, production readiness
  • Own contractor performance and the conversion pipeline with the sourcing partner
  • Partner with the platform lead on the paved path - templates, pipeline, evals - and make every pod use it
  • Unblock delivery daily; keep pods shipping without becoming a gatekeeper

Requirements:

  • 8+ years engineering, 3+ managing engineers who ship AI/ML or LLM systems in production
  • Has managed blended teams (contractors + employees) and held a quality bar across them
  • Hands-on enough to review agent architectures, prompts, and eval suites credibly
  • Operates in a flat, fast structure - player-coach comfortable, empire-averse

Nice to have

  • Healthcare or regulated-industry delivery; experience scaling a team from <10 to 30+

What's in it for you?

  • Strong community: Work alongside top professionals in a friendly, open-door environment
  • Growth focus: Take on large-scale projects with a global impact and expand your expertise
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
  • Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company's Benefit Plans

About us:

We are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you'll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the US, we are growing fast - inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.

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