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Machine Learning Manager Jobs in Houston, TX (NOW HIRING)

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

... AI and machine learning models to solve complex business problems across diverse domains. * Collaborate with cross-functional teams, including data scientists, product managers, and software ...

The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI, and machine learning to address cyber-specific ...

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

... science and machine learning team. The role focuses on supporting GenAI tools and involves ... Manage relationships and priorities across projects, focused on maximising value • Actively ...

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management ...

On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management ...

... Managing data pipelines and confirming data quality and integration across platforms - Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance - Conducting ...

Implement CI/CD pipelines and manage code repositories using GitHub Enterprise. * Design and optimize mathematical programming and machine learning models for real-world applications like Incentive ...

C. is a company focused on AI and machine learning solutions, and they are seeking an AI ML ... Responsibilities : • Work closely with product managers, data scientists, ML engineers, and other ...

Showing results 41-60

Machine Learning Manager information

See Houston, TX salary details

$47.6K

$76.3K

$110.1K

How much do machine learning manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning manager in Houston, TX is $76,262.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $86,300.00 per year, depending on experience, location, and employer.

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 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 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 most commonly searched types of Machine Learning jobs in Houston, TX?

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

What job categories do people searching Machine Learning Manager jobs in Houston, TX look for?

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

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

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

Infographic showing various Machine Learning Manager job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $76,262 per year, or $36.7 per hour.

Senior AI Engineer

Pivotal Solutions

Houston, TX • On-site

$99K - $137K/yr

Full-time

Re-posted 11 hours ago


Job description


Responsibilities
  • Design, develop, and deploy advanced AI and machine learning models to solve complex business problems across diverse domains.
  • Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to integrate AI solutions into production systems.
  • Optimize AI pipelines for performance, scalability, and reliability, ensuring efficient processing of large-scale datasets.
  • Drive innovation by researching and implementing cutting-edge AI techniques, frameworks, and tools to enhance product capabilities.
  • Mentor junior engineers and provide technical guidance on AI best practices, model development, and deployment strategies.
  • Monitor and maintain AI systems in production, ensuring robust performance and rapid response to issues.

Requirements
Qualifications
  • Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role, with a proven track record of delivering impactful AI solutions.
  • Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to-end AI development lifecycle, including data preprocessing, model training, and deployment.
  • Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-Learn, Hugging Face).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) for deploying AI models.
  • Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
  • Strong communication and collaboration skills, with experience working in agile, cross-functional teams.