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Entry Level Machine Learning Jobs in Kentucky (NOW HIRING)

SynergisticIT

Jr. Java Software Engineer

Owensboro, KY · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

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 ...

Neff Packaging Solutions

Press Feeder

Simpsonville, KY

$16 - $21.25/hr

This is not an entry level position. If you do not have printing press experience, please consider ... Knowledge of machine setup for a variety of inks and substrates * Knowledge of industry quality ...

Novolex

Bag Catcher

Walton, KY · On-site

$19.02/hr

Report machine adjustments and repairs to be done to Collator Tender/Adjuster Supervisor * Inspect ... This is an entry level position * Must have ability to discern detail and make decisions about bag ...

Novolex

Bag Catcher

Walton, KY · On-site

$19.02/hr

Report machine adjustments and repairs to be done to Collator Tender/Adjuster Supervisor * Inspect ... This is an entry level position * Must have ability to discern detail and make decisions about bag ...

Novolex

Bag Catcher

Walton, KY · On-site

$19.02/hr

Report machine adjustments and repairs to be done to Collator Tender/Adjuster Supervisor * Inspect ... This is an entry level position * Must have ability to discern detail and make decisions about bag ...

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

Entry Level Machine Learning information

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

As of Jul 10, 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 $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

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 knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

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 jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
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
Infographic showing various Entry Level Machine Learning job openings in Kentucky as of July 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $31,551 per year, or $15.2 per hour.
Entry level Java/MERN Developer -

Entry level Java/MERN Developer -

SynergisticIT

Louisville, KY • On-site

Other

Posted 15 days ago

Job description

Your Resume Isn’t the Problem — Your Positioning Is No Interviews or no Offers Isn’t for a Lack of Experience. It’s for the Lack of a relevant Updated Tech stack! Most job seekers blame their resume when they don’t get interviews, but the real issue is positioning. Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT helps you build that profile through hands‑on training, real projects, and personalized interview coaching. The program also markets your resume directly to Fortune 500 companies ensuring your profile reaches real decision‑makers. Whether you’re a recent graduate, someone with a career gap, or a laid‑off developer, We help you present yourself as a strong, capable candidate. When you’re positioned correctly, opportunities open up. If you’re getting interviews but not offers, you’re closer than you think—and that’s the most frustrating stage to be in. You’ve already proven you’re employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don’t fail because they’re “not smart.” They fail because they prepared the wrong way—watching tutorials on youtube, doing coursework on udemy/Courserra, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT’s approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from “almost” to “offer,” with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, AutoZone, Deloitte, Bank of America, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the “end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. Please read our blogs Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started on your Journey to get Hired: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ If you’re tired of being “final round” without the offer, stop guessing and start preparing with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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