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Director Machine Learning Jobs in Texas (NOW HIRING)

Tamus

Associate Executive Director

College Station, TX · On-site

Job Title Associate Executive Director Agency Texas A&M University Department High Performance ... Establish and lead Machine Learning Operations practices, focusing on the continuous monitoring ...

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All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Texas

Director Machine Learning information

See Texas salary details

$33.5K

$85.6K

$131.4K

How much do director machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for director machine learning in Texas is $85,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $98,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Director Machine Learning jobs in Texas? For Director Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Texas look for? The top searched job categories for Director Machine Learning jobs in Texas are:
What cities in Texas are hiring for Director Machine Learning jobs? Cities in Texas with the most Director Machine Learning job openings:
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Texas as of June 2026, with employment types broken down into 78% Full Time, 14% Part Time, 4% Temporary, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $85,649 per year, or $41.2 per hour.
Software Engineer - Machine Learning - IV

Software Engineer - Machine Learning - IV

Judge Group, Inc.

Richardson, TX

$88K - $121K/yr

Other

Posted 8 days ago

Job description

Location: Richardson, TX
Salary: Depends on Experience
Description: Our client is currently seeking a Software Engineer - Machine Learning - IV
This job will have the following responsibilities:
  • We are seeking a highly skilled AI Systems Contractor to join our advanced AI engineering team. This role is ideal for someone with deep technical expertise in Large Language Models (LLMs), agentic AI workflows, and high-performance computing environments. You will play a critical role in designing, building, and optimizing AI solutions that leverage NVIDIA GPUs within a Red Hat OpenShift platform.
    You'll work across the full AI development lifecycle-from rapid prototyping in Jupyter Notebooks to deploying scalable, production-grade systems.
    Responsibilities
    • Develop & Fine-Tune AI Models: Build and optimize LLMs and other deep learning models tailored to project needs.
    • Design Agentic AI Systems: Architect and implement multi-agent AI workflows capable of autonomous task execution.
    • GPU Optimization on OpenShift: Deploy and manage AI/ML workloads on OpenShift, ensuring efficient GPU utilization.
    • Python & Jupyter Development: Use Python and Jupyter for prototyping, experimentation, and model training.
    • Pipeline & Infrastructure Management: Maintain robust data/model pipelines and troubleshoot performance bottlenecks in containerized environments.
    • Cross-Functional Collaboration: Partner with data scientists, engineers, and project managers to deliver high-impact AI solutions.

    Minimum Qualifications
    • Proven experience developing AI systems, including LLMs and agentic AI architectures.
    • Advanced proficiency in Python and experience with frameworks like PyTorch, TensorFlow, LangChain, and Hugging Face.
    • Hands-on expertise with Jupyter Notebooks for model development.
    • Direct experience deploying containerized AI workloads using NVIDIA GPUs on Red Hat OpenShift.
    • Strong understanding of Docker, Kubernetes, and CI/CD practices.
    • Excellent problem-solving skills in high-performance computing environments.
    • Bachelor's degree in Computer Science, Engineering, or a related field-or equivalent practical experience.

    Preferred Qualifications
    • Experience with distributed training and model serving at scale.
    • Familiarity with MLOps tools and practices.
    • Contributions to open-source AI projects or research publications.

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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