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Entry Level Machine Learning Jobs in Oklahoma (NOW HIRING)

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Entry Level Machine Learning information

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

As of Sep 9, 2026, the average hourly pay for entry level machine learning in Oklahoma is $16.13, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.55 per hour, depending on experience, location, and employer.

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 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 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.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in Oklahoma?

The most popular types of Machine Learning jobs in Oklahoma are:

What are popular job titles related to Entry Level Machine Learning jobs in Oklahoma?

For Entry Level Machine Learning jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in Oklahoma look for?

The top searched job categories for Entry Level Machine Learning jobs in Oklahoma are:

What cities in Oklahoma are hiring for Entry Level Machine Learning jobs?

Cities in Oklahoma with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $33,542 per year, or $16.1 per hour.

Line Operator 2 DAYS - OK - Entry Level Position

Broken Arrow, OK • On-site

Paragon Films Inc
Plastics Product Manufacturing • 201 - 500 employees

$19/hr

Full-time

Re-posted 22 days ago


Paragon Films rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

2nd of 85 rated plastic manufacturers


Job description

POSITION SUMMARY:  The Line Operator 2 serves as the front line of the production operation and is responsible for the basic operations of the extrusion lines and will assist with training new hires in the process.  As they continue to expand their knowledge by learning to operate various production lines, the Line Operator 2 works to develop a more in-depth understanding of quality standards.  The Line Operator 2 must be knowledgeable in and follow all procedures needed to ensure the proper safe and efficient operation of their production line.  Position works under established guidelines and company policy.  

RESPONSIBILITIES/ESSENTIAL FUNCTIONS:

  • Performs basic production duties such as loading cores onto the core table; pulling trim; adjusting roll widths; preparing the finished product by pulling, lifting, labeling, and packaging the finished stretch film rolls, Inspecting the visual quality of the rolls and removing rolls that don’t meet established quality standards, has gained a thorough understanding of roll weight computer systems and their use to accurately weigh rolls and/or boxes of finished product; reporting finished products on required documents; cutting and preparing scrap bins for recycling.
  • Prepares product for shipping by setting up the skids with required packaging materials, and packing trays or boxes with finished rolls, could involve manually pre-wrapping trays with stretch film before being sent to the automated wrapper or wrapping them by hand depending on plant procedures, moving completed skids through the safe and effective use of manual and electric pallet jacks.
  • May begin to train on and perform duties on various lines, rewinders, and other required areas of the production floor to increase knowledge and fulfill staffing needs.
  • Trains on quality standards and controls, may begin training to perform quality testing and complete tasks in the quality lab including Shift Testing; completing quality control paperwork accurately following established standards, and reporting quality test results to Management to ensure quality standards are being met.
  • Assists with ensuring the line operates continuously, coordinating shift change activities, and notifying Sr. Operators, the Team Manager, or other Management of any issues.
  • Assists with training new Line Operators when placed on the production line.
  • Maintain housekeeping on the line to ensure a clean work environment; ensure the work area is prepared and ready for shift change.
  • Performing any other duties as requested or assigned by Management.

REQUIRED QUALIFICATIONS:

KNOWLEDGE/SKILL/ABILITY

  • Demonstrated proficiency in the duties in preceding Line Operator roles.
  • Technical aptitude to understand machinery and systems within a production environment.
  • Mechanical aptitude to understand and properly utilize basic hand tools with accuracy.
  • Ability to understand and properly utilize scales, weights, and other measurement tools with accuracy.
  • Ability to demonstrate sound judgment while adapting to a fast-paced environment and rapid changes.
  • Able to juggle multiple tasks and handle unexpected delays or events while maintaining constant attention to detail.
  • Strong organizational skills combined with good problem-solving skills.
  • Practice and promote teamwork within our organization.  
  • High level of dependability regarding attendance and punctuality.
  • Understanding and ability to communicate using the English language in both written and spoken form.
  • Basic mathematic skills.

PHYSICAL REQUIREMENTS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

  • Ability to work in an environment that generates static electricity which may interfere with certain medical devices.
  • Ability to use near, far, and peripheral vision and depth perception for the task(s) being performed. 
  • Ability to use hands including fingers to hold, touch, see, feel, grip, squeeze, push, pull.
  • Ability to perform pushing, pulling, and forward exertion on a regular basis.
  • Ability to have an overhead extension with arms on a regular basis.
  • Ability to use enhanced levels of manual dexterity with arms and hands to operate industrial power tools occasionally.
  • Ability to stand and walk continuously on a concrete floor for 12-hour shifts.
  • Ability to stand, crouch, stoop, bend, and squat frequently.
  • Ability to kneel occasionally.
  • Ability to climb stairs and ladders occasionally.
  • Ability to work on elevated platforms.
  • Ability to climb on uneven surfaces occasionally.
  • Ability to regularly lift and or move between 45-55 lbs.
  • Ability to occasionally lift and or move up to 65 lbs.
  • Ability to understand and communicate verbally, in person, and over a paging system.
  • Ability to meet requirements of and utilize all PPE when required.

 

PREFERRED EDUCATION/EXPERIENCE/QUALIFICATIONS:

  • High School diploma or equivalent.
  • Previous experience in a plastics manufacturing environment.
  • Ability to read and interpret Bill of Materials / Job Packets.

ENVIRONMENTAL CONDITIONS

The environment described here is meant to be representative of those an employee would normally encounter while performing the essential functions of the job.


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