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Ml Engineer Jobs in Spring, TX (NOW HIRING)

Oxy

AI ML Operations Engineer

Houston, TX

$66K - $89K/yr

... ML systems end-to-end (data training deployment monitoring) with experience * Owns production systems (debugging, incident response, reliability, SLAs, cost awareness) * Strong data engineering ...

Pwc

ERP AI Engineer - Manager

Houston, TX · On-site

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Forum Energy Services, Inc.

AI Architect

Houston, TX

$60.75 - $78.25/hr

We are seeking a technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This role is pivotal to ...

Forum Energy Technologies

AI Architect

Houston, TX · On-site

$60.75 - $78.25/hr

We are seeking a technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This role is pivotal to ...

Gainwell Technologies LLC

Expert AI Engineer

Houston, TX · On-site

$147K - $210K/yr

AI Research & Innovation - Stay updated with the latest AI/ML advancements, exploring new ... Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem ...

Oxy

Advisor IT Systems - AI/ML Ops

Houston, TX · On-site

We are seeking a midcareer MLOps / AI Ops Engineer to support the deployment, monitoring, and ... Operationalize ML models for upstream use cases (e.g., production optimization, subsurface modeling ...

Oxy

Advisor IT Systems - AI/ML Ops

Houston, TX · On-site

We are seeking a mid-career MLOps / AI Ops Engineer to support the deployment, monitoring, and ... Operationalize ML models for upstream use cases (e.g., production optimization, subsurface modeling ...

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Lead end-to-end Gen AI/ML solution architecture -- from problem definition, data acquisition, and feature engineering to model deployment and monitoring. * Collaborate with business stakeholders to ...

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All JobsMl Engineer JobsMl Engineer Jobs in Spring, TX

Ml Engineer information

See Spring, TX salary details

$29.4K

$79.4K

$126.4K

How much do ml engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for ml engineer in Spring, TX is $79,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $97,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in fields like software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge technology environments.

What does an ML engineer do?

An ML engineer designs, develops, and deploys machine learning models and algorithms to solve specific problems. They work with data preprocessing, model training, evaluation, and optimization, often using tools like Python, TensorFlow, or PyTorch. Their role involves integrating models into production systems and ensuring their performance and scalability.

What are the key skills and qualifications needed to thrive as an ML Engineer, and why are they important?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are ML Engineers?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges Machine Learning Engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

Are ML engineers still in demand?

Yes, ML engineers are in high demand due to the growing adoption of machine learning and AI across industries. They are sought after for their skills in data modeling, programming, and tools like TensorFlow and PyTorch, with job opportunities expected to remain strong as organizations continue to leverage AI technologies.
What are popular job titles related to Ml Engineer jobs in Spring, TX? For Ml Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Ml Engineer jobs in Spring, TX look for? The top searched job categories for Ml Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ml Engineer jobs? Cities near Spring, TX with the most Ml Engineer job openings:
Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,363 per year, or $38.2 per hour.
AI ML Operations Engineer

AI ML Operations Engineer

Oxy

Houston, TX

$66K - $89K/yr

Full-time

Re-posted 10 days ago

Job description

Oxyproduces,markets and transportsoil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership incarbon managementto advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visitOxy

Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.

We are looking for an experienced and innovative individual contributor to fill the position ofAI Machine Learning Operations Engineerwithin ourAI Center of Excellencegroup based inHouston, TX.The incumbent will research, build, and design artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes.

Essential Job Responsibilities

  • Designs production-grade ML systems end-to-end (data training deployment monitoring) with experience

  • Owns production systems (debugging, incident response, reliability, SLAs, cost awareness)

  • Strong data engineering fundamentals (pipeline reliability, data quality, versioning, and data)

  • Builds reusable platform patterns that reduce duplication and enable teams to ship faster and more safely

  • Navigates cloud architecture complexity (AWS/Databricks/IaC) with a bias toward simplicity and maintainability

  • Works effectively across teams (data science, engineering, platform), can lead training, can influence adoption

  • Understanding of emerging agentic and LLM assisted development patterns

Qualifications

  • Bachelor's degree in computer science, mathematics, physics, engineering or related field required

  • Master's degree is highly preferred. Equivalent combination of advanced education and relevant experience will be considered.

  • A minimum of 3 years of experience and deep knowledge in orchestration methods and tools to optimally use computational infrastructure, and machine learning methods and algorithms

  • Strong Python or R programming skills required

  • Knowledge of Linux environment required

  • Strong knowledge of Microsoft products (Excel, Project, PowerPoint, Word, Power BI).

  • Experience developing, architecting, and running ML or deep learning workload in the Cloud.

  • Ability to express the intuition behind basic ML algorithms

  • Experience performing basic hyper parameter optimization

  • Ability to follow model training, deployment, and operational best practices

  • Experience with Docker for containerization and Kubernetes for orchestration

  • Knowledge of Terraform and Ansible for automating infrastructure management

  • Knowledge of YAML for automating model and application code deployment

  • Understanding of data engineering principles and databases (relational, NoSQL)

Additional Desired Qualifications:

  • Certified in Amazon Web services (AWS) cloud provider is highly preferred.

  • Ideally AWS certified in Machine Learning Specialty

Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.

Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
Use recruiting or placement agencies that charge candidates an advance fee of any kind or
Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.


All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

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