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Entry Level Machine Learning Jobs in Oklahoma (NOW HIRING)

Pwc

CTIO - AI Engineer - Experienced Associate

Tulsa, OK · On-site

$50K - $140K/yr

... machine learning techniques to solve complex business problems - Building data pipelines and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

M Boone

OSP Construction Tech I

Warner, OK · On-site

$17.25 - $23.75/hr

Construction Technician I is an entry-level position for individuals beginning a career in ... This role is focused on learning core skills and assisting with construction tasks, including drop ...

M Boone

Construction Tech

Mannford, OK · On-site

$15.25 - $20.75/hr

Construction Technician I is an entry-level position for individuals beginning a career in ... This role is focused on learning core skills and assisting with construction tasks, including drop ...

M Boone

OSP Construction Tech I

Warner, OK · On-site

$17.25 - $23.75/hr

Construction Technician I is an entry-level position for individuals beginning a career in ... This role is focused on learning core skills and assisting with construction tasks, including drop ...

M Boone

Construction Tech

Mannford, OK · On-site

$15.25 - $20.75/hr

Construction Technician I is an entry-level position for individuals beginning a career in ... This role is focused on learning core skills and assisting with construction tasks, including drop ...

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

Entry Level Machine Learning information

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

As of Jul 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 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 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:
Entry Level Machine Learning jobs near you
Entry Level AI & Machine Learning Engineer (Remote)

Entry Level AI & Machine Learning Engineer (Remote)

SynergisticIT

Broken Arrow, OK • On-site

Other

Posted 8 days ago

Job description

1000's of Job Applications and No Interviews or Job offers? Get Hired with a Process The Job Market is overcrowded and recruiters are using AI assessments to filter Candidates with no results which leads to career Gaps If you've been unemployed for over 3-6+ months, you're not alone—and you're not out of options. The tech industry is competitive, and having a career gap can make it harder to get callbacks. But at SynergisticIT, we specialize in helping candidates like you regain momentum, rebuild confidence, and get hired. Why You're Being Overlooked—and How We Can Help Many employers today don't just want a degree—they're looking for job-ready developers with hands-on experience, relevant certifications, and up-to-date skills in today's tech stack. Unfortunately, most CS grads don't get that in college. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. 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 full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ 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/ Stop waiting for the phone to ring. Let's start your tech career—together. 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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