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Learning Trainer Jobs in Prosper, TX (NOW HIRING)

Addison Group

Learning & Development Specialist

Dallas, TX · On-site

$90K - $100K/yr

Evaluate training needs across departments and recommend solutions that address skill gaps and workforce development. * Create, facilitate, and enhance learning programs covering new hire onboarding ...

2020 Companies

Meta Learning Systems Designer

Dallas, TX · On-site

$60K/yr

Ensure compliance with required training completion and documentation standards Content Strategy & Continuous Improvement * Maintain and manage a learning content calendar * Refresh and iterate on ...

2020 Companies

Meta Learning Systems Designer

Dallas, TX · On-site +1

$60K/yr

Ensure compliance with required training completion and documentation standards Content Strategy & Continuous Improvement * Maintain and manage a learning content calendar * Refresh and iterate on ...

Reddy Ice

Be Seen First

Learning and Development Specialist

Dallas, TX · On-site

$75K - $85K/yr

Monitor training completion, compliance records, and learning activity. * Maintain onboarding learning paths and training assignments. * Maintain accurate learning records and ensure data integrity.

PointBank

Learning & Development Specialist

Denton, TX · On-site

Every day you will deliver training across all areas of banking with subject matter expertise in sales, operations, compliance and customer service. You will design structured learning paths, build ...

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Showing results 21-40

All JobsLearning Trainer JobsLearning Trainer Jobs in Prosper, TX

Learning Trainer information

See Prosper, TX salary details

$25.6K

$80K

$103K

How much do learning trainer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for learning trainer in Prosper, TX is $79,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $101,700.00 per year, depending on experience, location, and employer.

What is the difference between Learning Trainer vs Training Coordinator?

AspectLearning TrainerTraining Coordinator
CertificationsOften requires certifications in instructional design, adult learning, or specific training programsMay require certifications in project management or HR-related training
Work EnvironmentTypically conducts training sessions, workshops, and seminars, often in corporate or educational settingsCoordinates training schedules, manages logistics, and supports training delivery
Employer & IndustryUsed in corporate, educational, and nonprofit sectors for skill developmentCommon in HR departments, corporate training teams, and educational institutions

While both roles focus on employee development, Learning Trainers primarily deliver training content and facilitate learning sessions. Training Coordinators handle the logistical and administrative aspects of training programs. Understanding these differences helps organizations assign the right responsibilities and find suitable candidates for each role.

How do you become a learning trainer?

To become a learning trainer, typically one needs a relevant bachelor's degree in education, training, or a related field, along with experience in teaching or training roles. Certifications such as Certified Professional in Learning and Performance (CPLP) or Train-the-Trainer programs can enhance qualifications. Strong communication skills and proficiency with training tools or learning management systems are also important.

What cities near Prosper, TX are hiring for Learning Trainer jobs?

Cities near Prosper, TX with the most Learning Trainer job openings:

Learning Trainer jobs near you
Infographic showing various Learning Trainer job openings in Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $79,971 per year, or $38.4 per hour.

Machine Learning Developer

Dallas, TX

Diamondbackenergy
See more jobs at Diamondbackenergyexternal

Full-time

Posted 13 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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