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Entry Level Machine Learning Engineer Jobs in Oklahoma

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Operator Apprentice

Broken Arrow, OK · On-site

$14.25 - $17.25/hr

As a Machine Operator Apprentice at RAM Machine Products, you must operate 1-2 Multi-Spindle Machines adhering to product dimensions and tolerances specified in engineering drawings. You will also ...

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 ...

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 ...

Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit learn * Knowledge of data preprocessing techniques and tools * Experience working with cloud platforms, APIs ...

Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit learn * Knowledge of data preprocessing techniques and tools * Experience working with cloud platforms, APIs ...

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

$13 - $17.50/hr

Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors ... Engineering, Physics, Computer Science or a related field, within 1 year of completion.

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Entry Level Machine Learning Engineer information

See Oklahoma salary details

$27.7K

$64K

$109K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for entry level machine learning engineer in Oklahoma is $64,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $72,500.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Oklahoma? The most popular types of Machine Learning Engineer jobs in Oklahoma are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Oklahoma? For Entry Level Machine Learning Engineer jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Entry Level Machine Learning Engineer jobs? Cities in Oklahoma with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Oklahoma as of June 2026, with employment types broken down into 11% Internship, 74% Full Time, 9% Part Time, and 6% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $64,044 per year, or $30.8 per hour.
Remote Software Engineer (Entry)

Remote Software Engineer (Entry)

SynergisticIT

Broken Arrow, OK

Other

Posted 9 days ago


Job description

Synergisticit Job Opportunities

For more than 14 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers. In this market also our candidates get multiple job offers and $100k+ salaries.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed, highly motivated, self-learner, and technically inquisitive, experience in programming language Java and understanding of the software development life cycle, knowledge of statistics, SAS, Python, computer vision, data visualization tools, excellent written and verbal communication skills. Preferred skills include NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow.

For Java/full stack/software positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, highly motivated, self-learner, and technically inquisitive, experience in programming language Java and understanding of the software development life cycle, project work on the skills, knowledge of core Java, javascript, C++, or software programming Spring boot, microservices, Docker, Jenkins and REST API's experience, excellent written and verbal communication skills.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.