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Senior Machine Learning Ops Engineer Jobs in Cypress, TX

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-Have (Technical Expertise & Core Responsibilities) * Deep Neural Networks (DNN): * Hands-on ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/yr

They are seeking an experienced Machine Learning Engineer to join their data science and machine ... and senior management • Genuine intellectual curiosity about commodities markets, global energy ...

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 senior management * Genuine intellectual curiosity about commodities markets, global energy ...

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 senior management * Genuine intellectual curiosity about commodities markets, global energy ...

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 senior management * Genuine intellectual curiosity about commodities markets, global energy ...

MD Anderson

Senior Machine Learning Engineer - Agentic AI

Houston, TX · On-site

$99K - $137K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

As a Senior Machine Learning Engineer - Agentic AI within Data Impact & Governance, you will be at the forefront of designing and operating the platform capabilities that enable autonomous and semi ...

Socket.dev

Senior Machine Learning Data Scientist

Houston, TX · On-site

$102 - $156.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Machine Learning Data Scientist Location: Houston, United States, 77056 Company: ENGIE North ... This includes building models across the full lifecycle--from feature engineering, training, tuning ...

ENGIE Group

Senior Machine Learning Data Scientist

Houston, TX · On-site

$102 - $156.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As our Senior Machine Learning Data Scientist, you will support the development, delivery, and ... This includes building models across the full lifecycle--from feature engineering, training, tuning ...

Expand Energy

Sr. ML Ops Engineer

Spring, TX · On-site

$96K - $132K/yr

Job Summary This senior level position is responsible for building and operating the platforms ... Design, develop, and support machine learning operations (MLOps) platforms and tools in support of ...

Oxy

Advisor IT Systems - AI/ML Ops

Houston, TX · On-site

They are seeking a mid-career MLOps / AI Ops Engineer to support the deployment, monitoring, and lifecycle management of machine learning and advanced analytics solutions across upstream Oil & Gas ...

Dow - THE DOW CHEMICAL COMPANY

Machine Learning Engineer

Houston, TX · On-site

$109K - $131K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions , you will work with a cross-functional team whoseobjectiveis todeliversolutions ...

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All JobsMachine Learning Ops Engineer JobsSenior Machine Learning Ops Engineer JobsSenior Machine Learning Ops Engineer Jobs in Cypress, TX

Senior Machine Learning Ops Engineer information

See Cypress, TX salary details

$51.3K

$109K

$158.1K

How much do senior machine learning ops engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior machine learning ops engineer in Cypress, TX is $109,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $123,600.00 per year, depending on experience, location, and employer.

What is a senior machine learning ops engineer?

Senior Machine Learning Ops (MLOps) Engineers are experienced professionals who design, build, and maintain the infrastructure and tools needed to deploy, monitor, and scale machine learning models in production environments. They work at the intersection of data science, software engineering, and DevOps to ensure ML models are robust, reliable, and secure. Their responsibilities often include automating model training pipelines, managing cloud resources, implementing CI/CD for ML, and ensuring model reproducibility. Senior MLOps Engineers also mentor junior staff and help define best practices for the organization’s ML workflow.

What are the key skills and qualifications needed to thrive as a senior machine learning ops engineer?

To thrive as a Senior Machine Learning Ops Engineer, you need expertise in machine learning, software engineering, cloud platforms, and experience with CI/CD pipelines, often supported by a computer science degree or equivalent experience. Proficiency with tools like Docker, Kubernetes, TensorFlow, PyTorch, and cloud services such as AWS, GCP, or Azure is typically required, along with familiarity with MLOps frameworks. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and manage complex ML model deployments. These skills are essential to ensure reliable, scalable, and efficient deployment of machine learning models in production environments.

What are some common challenges faced by senior machine learning ops engineers when deploying models to production?

Senior Machine Learning Ops Engineers often encounter challenges such as ensuring model reproducibility, managing model versioning, and automating deployment pipelines for scalability. Another key challenge is monitoring model performance and data drift in production, which requires robust logging and alerting systems. Collaborating closely with data scientists, software engineers, and IT teams is essential to address these challenges and maintain a stable, efficient ML infrastructure.

What is the difference between Senior Machine Learning Ops Engineer vs Data Engineer?

AspectSenior Machine Learning Ops EngineerData Engineer
CredentialsExperience with ML frameworks, cloud platforms, scripting, and DevOps toolsStrong SQL, ETL, database, and programming skills, often with cloud experience
Work EnvironmentFocus on deploying, monitoring, and maintaining ML models in productionDesigning and building data pipelines and infrastructure for data processing
Industry UsageCommon in AI/ML-focused companies, tech firms, and data-driven organizationsWidespread across industries for data management and analytics

While both roles involve working with data and cloud platforms, the Senior Machine Learning Ops Engineer specializes in deploying and maintaining machine learning models, whereas the Data Engineer focuses on building data pipelines and infrastructure. Understanding these distinctions helps in choosing the right career path or job search focus.

What are popular job titles related to Senior Machine Learning Ops Engineer jobs in Cypress, TX?

For Senior Machine Learning Ops Engineer jobs in Cypress, TX, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Ops Engineer jobs in Cypress, TX look for?

The top searched job categories for Senior Machine Learning Ops Engineer jobs in Cypress, TX are:

What cities near Cypress, TX are hiring for Senior Machine Learning Ops Engineer jobs?

Cities near Cypress, TX with the most Senior Machine Learning Ops Engineer job openings:

Senior Machine Learning Ops Engineer jobs near you

Senior Machine Learning Engineer - Deep & Reinforcement Learning

Kanak Elite Services Inc

Houston, TX • On-site

$99K - $137K/yr

Contractor

Re-posted 2 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Senior Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Senior Machine Learning Engineer – Deep & Reinforcement Learning

Location          : Houston, TX Onsite

Duration         : Long term contract

Required skills:
- Degree in STEM field, Ph.D preferred.
- Master in Deep Learning, Reinforcement Learning, and multimodal large language model.
- Strong Pytorch or TensorFlow programming
- Machine Learning and Statistical Modelling - Mastery
- Exploratory Analysis
- Core Programming Skills & Languages
- AI Engineering Essentials
- DevOps and Agile
- Cloud deployment frameworks, infrastructure, and tooling