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Entry Level Machine Learning Engineer Jobs in McKinney, TX

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

THOMSON REUTERS

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

IT America Inc

ML Engineer

Plano, TX · On-site

Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as Python, R, or Java, essential for ...

Avani Technology Solutions, Inc.

Bigdata Engineer

Plano, TX · On-site

$52 - $69/hr

... machine learning engineering • Exposure to NLP and text processing • Experience with pipelines, job scheduling and workflow management Personal Skills • Experienced in managing work with ...

Proximate Technologies Inc

AI/ML Engineer

Plano, TX · On-site

They are seeking an AI/ML Engineer to design and develop large scale software solutions, provide technical leadership, and apply advanced machine learning techniques to enhance their projects.

Judge Group, Inc.

Specialty Software Engineer

Irving, TX · On-site

$78 - $84/hr

In this role, you will work across the full technology stack, leveraging modern cloud platforms, machine learning technologies, and software engineering best practices to deliver innovative products ...

Epsilon

Artificial Intelligence Engineer

Irving, TX

$73K - $136K/yr

Overview How You'll Make an Impact As an AI Engineer, you will play a critical role in building and ... Design, develop, and deploy machine learning and AI models that are reliable, scalable, and ...

DPR Construction

MLOps Engineer

Dallas, TX

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

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Entry Level Machine Learning Engineer information

See McKinney, TX salary details

$27.8K

$64.4K

$109.5K

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

As of Jul 20, 2026, the average yearly pay for entry level machine learning engineer in McKinney, TX is $64,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $72,800.00 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 McKinney, TX? The most popular types of Machine Learning Engineer jobs in McKinney, TX are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in McKinney, TX? For Entry Level Machine Learning Engineer jobs in McKinney, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in McKinney, TX look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in McKinney, TX are:
What cities near McKinney, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near McKinney, TX with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in McKinney, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $64,370 per year, or $30.9 per hour.
Real Time Machine Learning (PaaS)

Real Time Machine Learning (PaaS)

Ruri Software Technologies LLC

Irving, TX • On-site

$57.50 - $75/hr

Full-time

Re-posted yesterday

Job description

Job Title: Real Time Machine Learning (PaaS)
Location: Irving TX
Duration: 8+ months
Job Description:
  • Strong experience in Kubernetes and distributed computing for real time Al applications (CKAD, CKA certification preferred)
  • ⁠Experience with advanced ML, DL frameworks including TF,Pytorch,Ray
  • ⁠Hands on Experience with CUDA/NVIDIA ecosystem
  • ⁠Exposure to Real time monitoring frameworks including but not limited to Prometheus, Grafana, Open Telemetry (ML Democratization)
  • ⁠Strong experience working with Model Development, ML pipeline at scale with distributed computing technologies lik Pyspark, Ray
  • Ability to work on Distributed training pipelines and be aware of end to end CICD process for Al/ML workloads
  • Orchestrate the model scoring pipelines using Cloud Composer
    Deploy Auto-ML solutions in the production systems
  • ⁠Awareness and hands-on Data Lake, Big data ecosystems
  • ⁠Exposure to containers, cloud native solutioning

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