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Freelance Google Machine Learning Engineer Jobs in Irving, TX

7-Eleven

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning models and algorithms that will improve Confie's business outcome/customer experience Perform data cleansing, analysis, and feature engineering using Python Ability to work with ...

Capital One

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Plano, TX

$98K - $130K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Yum! Brands

Machine Learning Engineer II

Plano, TX · On-site

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

Tiger Analytics

Machine Learning Engineer

Plano, TX · On-site

$120 - $150/hr

Overview Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in ...

CVS Health

Sr Machine Learning Engineer

Irving, TX · On-site +1

$112K - $185K/yr

CVS Shared Services Resources LLC, a CVS Health company, is hiring for the following role in Irving, TX: Sr Machine Learning Engineer to Design, develop, and implement machine learning models to ...

Tihinsurance

Machine Learning Engineer

Dallas, TX · On-site

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

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Freelance Google Machine Learning Engineer information

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How much do freelance google machine learning engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for freelance google machine learning engineer in Irving, TX is $45.81, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $59.33 per hour, depending on experience, location, and employer.

What does a freelance Google Machine Learning Engineer do?

A Freelance Google Machine Learning Engineer is a technical specialist who designs, develops, and deploys machine learning models using Google’s tools and platforms, such as TensorFlow and Google Cloud AI services. They work independently or with clients to solve data-driven problems, build predictive models, and automate processes using machine learning techniques. Their responsibilities may include data preprocessing, feature engineering, model training and evaluation, and integrating models into production systems. Freelancers often manage multiple projects and must stay updated on the latest ML advancements and Google technologies.

What are the key skills and qualifications needed to thrive as a freelance Google Machine Learning Engineer?

To thrive as a Freelance Google Machine Learning Engineer, you need a solid background in computer science, statistics, and machine learning, typically supported by a relevant degree and experience with real-world data projects. Familiarity with Google Cloud Platform (GCP), TensorFlow, and certifications like Google Professional Machine Learning Engineer are commonly required. Strong problem-solving abilities, self-motivation, and effective client communication distinguish top freelancers in this field. These skills and qualifications are crucial for delivering robust machine learning solutions tailored to client needs and efficiently navigating remote, project-based work.

What are some common challenges freelance Google Machine Learning Engineers face when working with clients remotely?

Freelance Google Machine Learning Engineers often encounter challenges such as clearly defining project scopes, aligning on deliverables, and managing expectations, especially when working remotely. Communication can be more complex due to time zone differences and varying levels of technical understanding among clients. Staying updated with Google’s latest ML tools and ensuring secure, efficient data sharing are also important. Building strong documentation and regular progress updates can help foster trust and smooth collaboration.

What is the difference between Freelance Google Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Google Machine Learning EngineerFreelance Data Scientist
CredentialsKnowledge of Google Cloud ML tools, programming skills in Python, TensorFlowStatistical expertise, programming in Python/R, data analysis skills
Work EnvironmentCloud platforms, AI/ML projects, collaboration with developersData analysis, reporting, model development, client communication
Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, marketing, research organizations

While both roles involve working with data and models, a Freelance Google Machine Learning Engineer specializes in deploying ML solutions on Google Cloud, focusing on AI/ML engineering tasks. A Freelance Data Scientist primarily analyzes data, builds statistical models, and provides insights. The roles overlap in skills but differ in focus and tools used.

What are popular job titles related to Freelance Google Machine Learning Engineer jobs in Irving, TX?

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The top searched job categories for Freelance Google Machine Learning Engineer jobs in Irving, TX are:

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Cities near Irving, TX with the most Freelance Google Machine Learning Engineer job openings:

Freelance Google Machine Learning Engineer jobs near you

Machine Learning Engineer II

7-Eleven

Irving, TX • On-site

Full-time

Posted 11 days ago

7-Eleven rating

4.3

Company rating: 4.3 out of 10

Based on 843 frontline employees who took The Breakroom Quiz

39th of 47 rated convenience stores

Job description

7-Eleven is an iconic family of brands with over 86,000 locations, surpassing every retailer in the world. We revolutionize convenience, restaurants and fuel through cutting edge innovation - working hard to be the customer's first choice. 7-Eleven empowers our employees to "activate awesome" and make a meaningful impact in their stores and communities every day. If you're ready to grow, lead and make a difference, come join our team and help shape the future of convenience.
Job Summary
We are seeking a talented Machine Learning Engineer to design, develop, and deploy scalable machine learning solutions that drive business value as part of our digital initiatives. As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your expertise in big data technologies, cloud-based data platforms, and machine learning model development, will contribute to the transformation of telemetry data and other large datasets into actionable insights.
Key Responsibilities:
  • Design, develop, test, and deploy machine learning models and data-driven solutions that transform store equipment telemetry data into actionable insights.
  • Work in enterprise environments to build and optimize scalable data pipelines using Python, PySpark, and Azure-based technologies.
  • Process, analyze, and manipulate large structured and unstructured datasets to support analytics and machine learning initiatives.
  • Collaborate with data engineers, data scientists, product owners, and business stakeholders to translate business requirements into technical solutions.
  • Develop, evaluate, and tune machine learning models using appropriate algorithms and statistical techniques.
  • Implement MLOps best practices for model deployment, monitoring, and lifecycle management.
  • Create visualizations, dashboards, and presentations to communicate insights and recommendations to technical and non-technical audiences.
  • Participate in code reviews, technical design discussions, and continuous improvement initiatives.

Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • 5+ years of experience delivering big data and machine learning solutions in enterprise environments.
  • Strong programming experience in Python and PySpark.
  • Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps.
  • Experience building, training, validating, and deploying machine learning models.
  • Solid understanding of data structures, algorithms, software engineering principles, and distributed computing concepts.
  • Experience working with large-scale datasets and cloud-native architectures.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:
  • Experience deploying and operationalizing machine learning models in Azure Databricks.
  • Experience with MLOps frameworks and CI/CD pipelines for machine learning workloads.
  • Experience with data visualization tools such as Power BI, Tableau, or equivalent platforms.
  • Experience working with equipment telemetry data or on equipment maintenance projects.
  • Knowledge of containerization technologies and cloud-native application development.

Machine Learning Expertise:
  • Clustering and segmentation techniques.
  • Generalized Linear Models (GLM), Linear Regression, and Logistic Regression.
  • Decision Trees and Random Forests.
  • Gradient boosting techniques including XGBoost.
  • K-Nearest Neighbors (KNN).
  • Support Vector Machines (SVM).
  • Artificial Neural Networks (ANN) and deep learning concepts.
  • Model evaluation, feature engineering, hyperparameter tuning, and performance optimization.

Success Factors:
  • Ability to work effectively in a fast-paced, collaborative environment.
  • Strong ownership mindset and commitment to delivering high-quality solutions.
  • Ability to communicate complex technical concepts to diverse stakeholder groups.
  • Passion for continuous learning and innovation in machine learning and cloud technologies.

If an hourly or salary range is included in this ad it represents the range 7-Eleven in good faith believes is the range of compensation for this role at the time of this posting. The Company may ultimately pay more or less than the posted range. This range is only applicable for jobs to be performed in this state. This range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, long-term incentive compensation, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this link.
For a general description of all benefits 7-Eleven is offering in Canada for the position, please visit this link.

What 7-Eleven employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About 7-Eleven

Sourced by ZipRecruiter

As the world’s first convenience store, our top priority has always been to give customers the most convenient experience possible to consistently meet their needs. 7-Eleven aims to be a one-stop shop for consumers – a place people can always rely on to deliver what they want, when, where, and how they want it.

Industry

Food services and drinking places

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1927

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