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Machine Learning Engineer Two Jobs in Houston, TX

Senior AI Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Design, develop, and deploy advanced AI and machine learning models to solve complex business ... Mentor junior engineers and provide technical guidance on AI best practices, model development, and ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

AI Lead 11+ years of exp

Houston, TX

$133K - $164K/yr

Video (2 Rounds) Experience: 12+ Years Core Skills: * AI * LangGraph * LangChain * Python * Agentic ... Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio ...

Engineer II

Spring, TX ยท On-site

Machinery backgrounds * B.S. degree in Marine, Mechanical or Electrical Engineering or other related disciplines. * Masters / PhD Graduates with no experience may be hired as Engineer II if degrees ...

Engineer II

Spring, TX ยท On-site

Machinery backgrounds * B.S. degree in Marine, Mechanical or Electrical Engineering or other related disciplines. * Masters / PhD Graduates with no experience may be hired as Engineer II if degrees ...

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Machine Learning Engineer Two information

See Houston, TX salary details

$30.1K

$123K

$184.8K

How much do machine learning engineer two jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning engineer two in Houston, TX is $122,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

Can you work for two engineering companies at the same time?

As a Machine Learning Engineer, working for two companies simultaneously is possible but depends on employment agreements, non-compete clauses, and company policies. Many employers require exclusivity or limit outside work to prevent conflicts of interest, especially if projects overlap or involve proprietary information. It is important to review employment contracts and disclose side work to ensure compliance.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine AI models and algorithms. Other roles that are expected to persist include healthcare professionals, skilled tradespeople, educators, and creative roles such as writers and designers, because these jobs require human judgment, empathy, or manual skills that are difficult for AI to replicate. Success in these fields often depends on specialized knowledge, critical thinking, and adaptability to new tools and technologies.

Will AI take over machine learning engineer jobs?

Machine Learning Engineers design and develop AI systems, and while AI automation can handle certain tasks, the role requires expertise in model development, data analysis, and problem-solving that AI cannot fully replace. Human oversight, creativity, and understanding of domain-specific challenges remain essential in the field.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or tech, can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.
What job categories do people searching Machine Learning Engineer Two jobs in Houston, TX look for? The top searched job categories for Machine Learning Engineer Two jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Engineer Two jobs? Cities near Houston, TX with the most Machine Learning Engineer Two job openings:

Senior AI Engineer

Pivotal Solutions

Houston, TX โ€ข On-site

$99K - $137K/yr

Full-time

Posted 4 days ago


Job description

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.