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Machine Learning Manager Jobs in Grand Prairie, TX

Diamondback E&P LLC

Machine Learning Developer

Dallas, TX · On-site

$140 - $190/hr

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Self‑starter requiring minimal supervision with strong organizational and time management skills ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

Implement MLOps best practices for model deployment, monitoring, and lifecycle management. * Create ... Machine Learning Expertise: * Clustering and segmentation techniques. * Generalized Linear Models ...

SuperMom's LLC

Machine Learning Engineer II

Irving, TX · On-site

$120 - $180/hr

Implement MLOps best practices for model deployment, monitoring, and lifecycle management. * Create ... Machine Learning Expertise * Clustering and segmentation techniques. * Generalized Linear Models ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX

Implement MLOps best practices for model deployment, monitoring, and lifecycle management. * Create ... Machine Learning Expertise: * Clustering and segmentation techniques. * Generalized Linear Models ...

7-Eleven

Machine Learning Engineer II

Irving, TX · On-site

Implement MLOps best practices for model deployment, monitoring, and lifecycle management. * Create ... Machine Learning Expertise: * Clustering and segmentation techniques. * Generalized Linear Models ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Manage the full model lifecycle, including experiment tracking, model registration, version control ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Manage the full model lifecycle, including experiment tracking, model registration, version control ...

Vizient, Inc.

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Partner with risk management and compliance teams to ensure adherence to regulatory and ethical ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

Vizient

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Partner with risk management and compliance teams to ensure adherence to regulatory and ethical ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

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 ... management. Qualifications: * Bachelor's or master's degree in computer science, engineering ...

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Machine Learning Manager information

See Grand Prairie, TX salary details

$48.3K

$77.3K

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How much do machine learning manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning manager in Grand Prairie, TX is $77,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $87,600.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the most commonly searched types of Machine Learning jobs in Grand Prairie, TX?

The most popular types of Machine Learning jobs in Grand Prairie, TX are:

What are popular job titles related to Machine Learning Manager jobs in Grand Prairie, TX?

For Machine Learning Manager jobs in Grand Prairie, TX, the most frequently searched job titles are:

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The top searched job categories for Machine Learning Manager jobs in Grand Prairie, TX are:

What cities near Grand Prairie, TX are hiring for Machine Learning Manager jobs?

Cities near Grand Prairie, TX with the most Machine Learning Manager job openings:

Machine Learning Manager jobs near you

Machine Learning Developer

Diamondbackenergy

Dallas, TX

Full-time

Posted 8 days ago

Key responsibilities

  • Establish development practices, standards, and platform foundations to move machine learning models from experimentation into production.

  • Partner with data science teams to productionize models using Databricks MLflow, AutoML, and related tools, and design automated CI/CD pipelines for model deployment and promotion.

  • Govern the model lifecycle through experiment tracking, model registration, versioning, lineage, access control, and establish model and data monitoring and validation checks.

Job description

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department and is responsible for establishing the development practices, standards, and platform foundations that move machine learning models from experimentation into reliable, governed production. Working primarily within the Databricks ecosystem, the ML Developer will define how models are built, tracked, deployed, and monitored, and will coordinate with data science teams and technical professionals across the organization to ensure company objectives and goals are met.


Job Responsibilities:

Include but are not limited to

  • Establish the department's MLOps standards, reusable pipeline patterns, and "golden path" for taking a model from notebook to production
  • Partner with data science teams to productionize models using Databricks MLflow, AutoML, Unity Catalog, and Model Serving
  • Design and maintain automated CI/CD pipelines for model training, deployment, and controlled promotion across environments
  • Govern the model lifecycle through experiment tracking, model registration, versioning, lineage, and access control
  • Establish model and data monitoring, validation checks, and operational observability; support incident response and reliability of production ML systems
  • Enforce data and feature quality, schema validation, and data versioning so models train and infer on trusted inputs
  • Author documentation, reference architectures, and playbooks; lead code reviews and knowledge-sharing to drive consistent engineering practice
  • Coordinate with business stakeholders, data scientists, data engineers, and IT to define requirements and drive adoption of shared frameworks
  • Evaluate emerging tools and patterns, including agentic and LLM-assisted development workflows, and recommend improvements to ML delivery

Required Qualifications:

  • Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field
  • Must have hands-on experience with Databricks MLflow and AutoML
  • Three (3) to five (5) years of hands-on experience building, deploying, and operating machine learning or data-intensive systems in production
  • Strong proficiency in Python as a primary engineering language, with experience writing tested, maintainable production code
  • Strong SQL skills and working knowledge of Spark or other distributed data processing frameworks
  • Practical experience establishing or operating an MLOps workflow, including model deployment, pipeline automation, monitoring, and lifecycle management
  • Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common design patterns
  • Ability to explain the intuition behind common ML algorithms and follow model training, evaluation, and hyperparameter tuning best practices
  • Strong interpersonal, analytical, and communication skills, with the ability to work effectively across data science, engineering, and business teams

Preferred Qualifications:

  • Experience with Unity Catalog for model governance, lineage, and controlled promotion of ML assets
  • Databricks certification (e.g., Databricks Certified Machine Learning Associate or Professional)
  • Master's Degree in a related field
  • Familiarity with cloud data platforms, infrastructure-as-code, containerization and orchestration
  • Exposure to LLM/GenAI application patterns such as RAG and evaluation harnesses, and to agentic or AI-assisted development workflows
  • Experience mentoring or training data scientists on engineering best practices
  • Ability to operate both independently and as part of a team
  • Self-starter requiring minimal supervision with strong organizational and time management skills

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more aboutE-Verify.

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