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Entry Level Machine Learning Jobs in Kentucky (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Louisville, KY · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Domtar

Chemical Entry Level Engineer

Hawesville, KY · On-site

... learning and growth. The location in Hawesville, (Kentucky, United States), is seeking talent to ... Job Responsibilities/Accountabilities: • Focus on improving the quality control of paper machines ...

Domtar

Chemical Entry Level Engineer

Hawesville, KY · On-site

... learning and growth. The location in Hawesville, (Kentucky, United States), is seeking talent to ... Focus on improving the quality control of paper machines by proactively identifying potential ...

Tire Discounters

Entry Level Tire Technician

Paris, KY · On-site

$14 - $16/hr

Operate balancers and tire machines. * Complete work orders accurately. * Maintain and organize the ... Master-certified trainers, paid hands-on learning, plus a company tool program to help you build ...

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All JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Kentucky

Entry Level Machine Learning information

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$10

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$18

How much do entry level machine learning jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for entry level machine learning in Kentucky is $15.17, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $16.49 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
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 Entry Level Machine Learning jobs in Kentucky? For Entry Level Machine Learning jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Kentucky look for? The top searched job categories for Entry Level Machine Learning jobs in Kentucky are:
What cities in Kentucky are hiring for Entry Level Machine Learning jobs? Cities in Kentucky with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Entry Level Business Analyst

Entry Level Business Analyst

SynergisticIT

Richmond, KY

Other

Posted 14 days ago

Job description

SYNERGISTICIT understands that the job market is tough due to tech layoffs. Many laid-off jobseekers are competing with existing jobseekers, making it very competitive. Entry-level candidates need to stand out by having exceptional skills and technology knowledge to get noticed by clients.
Since 2010, we have helped jobseekers stand out by preparing them with the skills and experience needed to succeed in interviews and with clients. At SynergisticIT, we don't just help you find a job-we help build your career. All positions are open to all visa holders and U.S. citizens.
We understand the gap between employer requirements and employee skills. That's why we've helped thousands of people get jobs at top companies like Apple, Google, PayPal, Western Union, Visa, Walmart Labs, and more. We have a great reputation with clients.
Current Open Positions

  • Entry-level software programmers
  • Java full-stack developers
  • Python/Java developers
  • Data analysts/data scientists
  • Machine learning engineers
Who Should Apply
  • Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in IT.
  • Candidates of all visa types and U.S. citizens are welcome to apply.
  • We assist with filing STEM extensions, H1B visas, and Green Cards.
Skill Enhancement Programs Candidates can benefit from these programs if they:
  • Lack experience or are freshers with no real job experience.
  • Had a break in their career.
  • Lack the technical skills or competencies required by clients.
  • Are visa holders (e.g., OPT, H4 EAD, L2 EAD) who want to work and settle in the USA.
Check out success stories from our candidates here: https://www.synergisticit.com/candidate-outcomes/
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
Required Skills for Java/Software Programmers
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience in Java programming and understanding the software development life cycle.
  • Project experience with these skills.
  • Knowledge of Core Java, JavaScript, C++, or software programming.
  • Familiarity with Spring Boot, Microservices, Docker, Jenkins, and REST APIs.
  • Strong written and verbal communication skills.
Required Skills for Data Science/Machine Learning
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Project experience with the needed technologies.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience in Java programming and understanding the software development life cycle.
  • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
  • Strong written and verbal communication skills.
Preferred Skills For Data Science/Machine Learning: NLP, Text Mining, Tableau, Power BI, and Time Series Analysis.
Important Note
  • Clients require relevant skills and experience on real-world projects, even for junior or entry-level positions. Hands-on project work at client sites and additional skills are key to being selected.
  • Candidates without these skills or project experience can opt for skill enhancement to gain the required qualifications and project work.
  • No third-party or c2c candidates, please.
  • Apply only through the posting.
  • No phone calls, and only shortlisted candidates will be contacted.

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