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Ai Machine Learning Engineer Jobs in Houston, TX

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... and generative AI - to commodity pricing, supply/demand signals, trade flow analysis, and ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... and generative AI - to commodity pricing, supply/demand signals, trade flow analysis, and ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... and generative AI - to commodity pricing, supply/demand signals, trade flow analysis, and ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Generative AI: * Strong knowledge of LLMs (BERT, GPT, etc.), embeddings, and supervised fine-tuning.

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization ... This role sits at the intersection of applied research, machine learning engineering, data science ...

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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 Aug 31, 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, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $122,971 per year, or $59.1 per hour.

Machine Learning & AI Infrastructure Engineer

Houston, TX • Remote

KORE1 Technologies
Recruiting and Staffing Services • 201 - 500 employees
Learn more about KORE1 Technologiesexternal

$190K/yr

Full-time

Re-posted 26 days ago

Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Machine Learning & AI Infrastructure Engineer that is fully remote. 

Summary:
We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on technical role will work directly with compute, storage, networking, and containerized infrastructure to deliver scalable, high-performance solutions for enterprise, healthcare, research, and academic organizations.
The ideal candidate is passionate about AI infrastructure, thrives in complex technical environments, and enjoys solving challenging engineering problems while working alongside cross-functional teams.
Key Responsibilities
  • Deploy, administer, and optimize AI and HPC infrastructure environments.
  • Support compute, storage, networking, and container platforms across customer and internal environments.
  • Troubleshoot system performance, reliability, and scalability issues.
  • Assist with infrastructure automation and operational improvements.
  • Collaborate with engineering teams to design and implement modern AI and machine learning platforms.
  • Monitor and maintain infrastructure to ensure high availability and performance.
  • Support customer implementations and ongoing operational needs.

Required Qualifications
  • Strong experience administering HPC bare-metal environments.
  • Experience with NVIDIA Base Command Manager, Bright Cluster Manager, or similar HPC management platforms preferred.
  • Hands-on Kubernetes administration experience, particularly with persistent storage provisioning and CSI integrations.
  • Strong Linux administration skills, preferably Ubuntu.
  • Experience with Bash and/or Python scripting.
  • Strong troubleshooting and systems engineering capabilities.

Preferred Qualifications
  • Experience administering enterprise storage platforms such as Dell PowerScale/Isilon, VAST Storage, NetApp ONTAP, DDN IntelliFlash, or similar technologies.
  • Experience with DDN Exascaler, Lustre, or other parallel file systems.
  • Containerization and container orchestration experience.
  • Familiarity with InfiniBand networking and NVIDIA UFM.
  • Experience supporting enterprise Ethernet networking environments.
  • Exposure to AI, machine learning, or GPU-accelerated computing environments.

What Success Looks Like
  • Reliable deployment and operation of AI and HPC environments.
  • Strong system performance, scalability, and uptime.
  • Effective collaboration with engineering and customer teams.
  • Continuous improvement of infrastructure automation and operational processes.
  • Successful delivery of complex technical solutions supporting advanced AI and research initiatives.




Compensation depends on experience but is typically $170-190k/year.

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.