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Head Of Machine Learning Jobs in Texas (NOW HIRING)

Daman Inc

Machine Learning Engineer

San Antonio, TX · On-site

$125 - $150/hr

As a part of our Decision Sciences group, you will work with our clients to help define solutions ... The Machine Learning (ML) Engineer, with an interest in a variety of disciplines, will strive to ...

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Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Support construction and iteration of product prototypes * Support data pipeline engineering and ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Support construction and iteration of product prototypes * Support data pipeline engineering and ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Support construction and iteration of product prototypes * Support data pipeline engineering and ...

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Head Of Machine Learning information

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$22.8K

$59.5K

$101.5K

How much do head of machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for head of machine learning in Texas is $59,497.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,600.00 and $69,900.00 per year, depending on experience, location, and employer.

What does a head of machine learning do?

A Head of Machine Learning leads the development and implementation of machine learning strategies within an organization. They oversee data science teams, manage AI-driven projects, and ensure models are scalable and aligned with business needs. This role requires expertise in machine learning, software engineering, and leadership to drive innovation and improve decision-making through data.

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

To thrive as a Head Of Machine Learning, you need deep expertise in machine learning algorithms, statistical modeling, and data analysis, usually supported by an advanced degree in computer science or a related field. Familiarity with Python, TensorFlow, PyTorch, cloud computing platforms, and relevant certifications (like AWS Certified Machine Learning) is highly beneficial. Strong leadership, strategic thinking, and communication skills set exceptional candidates apart by enabling effective team management and cross-departmental collaboration. These skills are crucial to drive innovation, deliver impactful projects, and steer organizational AI strategies successfully.

What are some typical challenges faced by a head of machine learning, and how can I prepare for them?

As a Head Of Machine Learning, you’ll often face challenges such as aligning machine learning initiatives with business objectives, managing a diverse technical team, and ensuring the scalability and reliability of solutions. Preparing for these involves staying updated on the latest AI trends, developing strong project management skills, and fostering a culture of knowledge sharing within your team. Additionally, you may need to bridge communication gaps between technical staff and non-technical stakeholders, so clear communication is vital. By proactively addressing these areas, you’ll be better equipped to lead successful machine learning operations and drive significant business value.

Is a Head of Machine Learning a high paying job?

A Head of Machine Learning is typically a high-paying role due to its seniority and specialized expertise in AI, data science, and leadership. Salaries often reflect experience, industry, and company size, with many earning well above average tech salaries, especially in competitive markets.

What are popular job titles related to Head Of Machine Learning jobs in Texas?

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What job categories do people searching Head Of Machine Learning jobs in Texas look for?

The top searched job categories for Head Of Machine Learning jobs in Texas are:

What cities in Texas are hiring for Head Of Machine Learning jobs?

Cities in Texas with the most Head Of Machine Learning job openings:

Head Of Machine Learning jobs near you
Infographic showing various Head Of Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $59,497 per year, or $28.6 per hour.

Machine Learning Engineer

Plano, TX • On-site

Smart Info Solutions llc
See more jobs at Smart Info Solutions llcexternal

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Job description

Job Title: Machine Learning Engineer
Location: Plano, Texas
Contract

Job Summary:
We are seeking a skilled Machine Learning Engineer with a strong mindset to join our team. The ideal candidate will have hands-on experience maintaining applications on both Windows and Linux environments, managing on-premises servers, and working with Kubernetes clusters. This role requires solid Python programming skills, a good understanding of machine learning concepts, and practical knowledge of ML model deployment, monitoring, and debugging.

Key Responsibilities:
Maintain and support machine learning applications running on Windows and Linux servers in on-premises environments.
Manage and troubleshoot Kubernetes clusters hosting ML workloads.
Collaborate with data scientists and engineers to deploy machine learning models reliably and efficiently.
Implement and maintain monitoring and alerting solutions using DataDog to ensure system health and performance.
Debug and resolve issues in production environments using Python and monitoring tools.
Automate operational tasks to improve system reliability and scalability.
Ensure best practices in security, performance, and availability for ML applications.
Document system architecture, deployment processes, and troubleshooting guides.

Required Qualifications:
Proven experience working with Windows and Linux operating systems in production environments.
Hands-on experience managing on-premises servers and Kubernetes clusters and Docker containers
Strong proficiency in Python programming.
Solid understanding of machine learning concepts and workflows.
Experience with machine learning model deployment and lifecycle management.
Familiarity with monitoring and debugging tools, e.g. DataDog.
Ability to troubleshoot complex issues in distributed systems.
Experience with CI/CD pipelines for ML applications.
Familiarity with AWS cloud platforms
Background in Site Reliability Engineering or DevOps practices.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
We need an engineer who is also familiar with model development

Apply