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Ai Machine Learning Engineer Jobs in Houston, TX

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows ... As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows ... As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows ... As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ...

Crowe LLP

Machine Learning Engineer

The Woodlands, TX

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Pivotal Solutions

Senior AI Engineer

Houston, TX · 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 ...

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Showing results 21-40

All JobsAi Machine Learning Engineer JobsAi Machine Learning Engineer Jobs in Houston, TX

Ai Machine Learning Engineer information

See Houston, TX salary details

$30.1K

$123K

$184.8K

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

As of Sep 3, 2026, the average yearly pay for ai machine learning engineer 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.

What is an AI machine learning engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as an AI machine learning engineer?

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI machine learning engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

What is the difference between Ai Machine Learning Engineer vs Data Scientist?

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, business intelligence, analytics across industries

While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.

Is AI Machine Learning Engineer in demand?

AI Machine Learning Engineers are in high demand due to the growing adoption of artificial intelligence across industries. They typically require skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch, and job opportunities are expected to continue expanding as AI applications become more widespread.

What are popular job titles related to Ai Machine Learning Engineer jobs in Houston, TX?

For Ai Machine Learning Engineer jobs in Houston, TX, the most frequently searched job titles are:

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

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

Ai Machine Learning Engineer jobs near you
Infographic showing various Ai Machine Learning Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $122,971 per year, or $59.1 per hour.

AI Data Scientist - Enterprise AI

HP Development Company, L.P.

Spring, TX • On-site

$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 18 days ago

Job description

AI Data Scientist - Enterprise AI
Description -
Enterprise Operations Applied AI Organization
Overview
The Enterprise Operations Applied AI organization is seeking an AI Data Scientist to help design, build, evaluate, and scale AI-driven solutions that deliver measurable business impact across enterprise operations. This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation.
The ideal candidate combines strong technical expertise in Large Language Models (LLMs), Generative AI, machine learning, and large-scale data analysis with the ability to work effectively in complex enterprise environments on multidisciplinary teams. Success in this role requires curiosity, initiative, strong communication skills, and a passion for turning emerging AI technologies into practical business solutions.
This position supports the Enterprise Operations Applied AI organization's mission of enabling AI-powered transformation through applied research, scalable solutions, responsible AI practices, and cross-functional collaboration.
Key Responsibilities
  • Design, develop, and deploy AI-powered solutions leveraging Large Language Models (LLMs), Generative AI technologies, machine learning, and predictive analytics.
  • Develop data pipelines, feature engineering approaches, and analytical workflows that support AI solution development.
  • Research new AI methods, tools, and frameworks and determine their applicability to business problems across enterprise operations.
  • Design and execute experiments to evaluate model effectiveness, accuracy, robustness, and operational performance.
  • Analyze large-scale structured and semi-structured datasets to generate insights, build predictive models, and support operational decision-making.
  • Translate business requirements into technical approaches and clearly communicate AI concepts to both technical and non-technical audiences.
  • Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder engagement.
  • Collaborate with distributed teams of engineers, data scientists, product owners, business leaders, and other technology organizations to deliver impactful solutions.
  • Contribute to AI best practices, reusable frameworks, and technical standards across the organization.

Required Qualifications
  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field.
  • 3+ years of experience developing AI, machine learning, and data science solutions.
  • Proficiency in Python and modern AI/ML libraries and frameworks.
  • Experience with model evaluation, experimentation, performance measurement, and validation methodologies.
  • Strong analytical skills with experience working with large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies.
  • Ability to collaborate effectively in culturally diverse and distributed teams.

Preferred Qualifications
  • 5+ years of experience developing AI, machine learning, and data science solutions in an industry setting.
  • Experience developing AI solutions in cloud environments such as Azure, AWS, or GCP.
  • Proficiency using software development tools such as version control (e.g. Github) and AI-assisted development tools (e.g. Github Copilot)
  • Experience with Retrieval-Augmented Generation (RAG), prompt engineering, AI agents.
  • Familiarity with MLOps, model monitoring, observability, and enterprise AI governance concepts.
  • Experience communicating technical concepts to business stakeholders.
  • Experience working in highly collaborative, matrixed organizations.

What Success Looks Like
A successful AI Data Scientist - Enterprise AI:
  • Builds AI solutions that move beyond prototypes and create measurable business value.
  • Demonstrates technical depth in LLMs, machine learning, and data science while maintaining a practical focus on implementation.
  • Communicates clearly with product managers, engineers, and operational teams.
  • Takes ownership of outcomes and proactively drives work forward without waiting for direction.
  • Continuously identifies opportunities to improve processes, solutions, and ways of working.

Core Competencies
  • Applied AI & Machine Learning
  • Large Language Models (LLMs) & Generative AI
  • Data Science & Statistical Analysis
  • Enterprise Problem Solving
  • Experimentation & Model Evaluation
  • Communication & Storytelling
  • Cross-Functional Collaboration
  • Ownership & Accountability

This role is ideal for someone who enjoys combining research, engineering, analytics, and business partnership to transform enterprise operations through practical and scalable AI solutions.
Pay & Benefits
The pay range for this role is $130,700 to $205,200 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
  • US benefits overview https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
No
Relocation -
Not Specified
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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