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Machine Learning Data Engineer Jobs in Texas (NOW HIRING)

Understanding of data engineering principles and databases (relational, NoSQL) * Strong critical ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

AI & Machine Learning Engineer

Dallas, TX

$113.70K - $136.60K/yr

... data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on ... building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data ...

Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ... engineers, and robotics experts to integrate machine learning solutions into real-world autonomous ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... Experience building data processing pipelines and large scale machine learning systems with ...

Understanding of data engineering principles and databases (relational, NoSQL) * Strong critical ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... Experience building data processing pipelines and large scale machine learning systems with ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... Experience building data processing pipelines and large scale machine learning systems with ...

Data Engineer

Dallas, TX · On-site +1

$113.30K - $136.10K/yr

Data Engineer (AI & Cloud Platforms) We are seeking a Data Engineer to support the design ... Exposure to machine learning pipelines, MLOps concepts, or AI-driven data workflows preferred

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121.40K - $160.10K/yr

Founded by data scientists and engineers, Striveworks set out to make the journey from deployment ... The Role As a Senior Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on ...

Data Engineer (Starlink Growth)

Bastrop, TX

$113.90K - $136.80K/yr

DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets and ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ... engineers, and robotics experts to integrate machine learning solutions into real-world autonomous ...

Senior Machine Learning Engineer

Plano, TX · On-site +1

$100K - $137.30K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Construct optimized data pipelines to feed ML models. * Leverage continuous integration and ...

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98.10K - $129.20K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Construct optimized data pipelines to feed ML models. * Leverage continuous integration and ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127.30K/yr

This position demands a blend of cloud data engineering, systems engineering, data integration, and machine learning systems knowledge to enhance GST's data capabilities, supporting advanced ...

Sr. Data Engineer (Starlink Grwoth)

Bastrop, TX · On-site

$113.90K - $136.80K/yr

SR. DATA ENGINEER (STARLINK GROWTH) At SpaceX, we are leveraging our experience in building rockets ... You will bring in the latest and greatest machine learning and statistical technologies to turn ...

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Machine Learning Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

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

As of May 30, 2026, the average yearly pay for machine learning data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning Data Engineer job?

A Machine Learning Data Engineer is responsible for designing, building, and maintaining the data infrastructure that supports machine learning models. They develop data pipelines, ensure data quality, and optimize data storage for efficient processing. This role involves working with large-scale datasets, implementing ETL processes, and collaborating with data scientists to deploy machine learning models. Strong knowledge of databases, cloud platforms, and programming languages like Python and SQL is essential. Their work enables organizations to leverage machine learning effectively by providing reliable and scalable data solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Data Engineer position, and why are they important?

To thrive as a Machine Learning Data Engineer, you typically need strong programming skills in Python or Scala, a deep understanding of data structures, algorithms, and machine learning concepts, as well as a degree in computer science or a related field. Experience with big data tools like Spark, Hadoop, and cloud platforms such as AWS or Azure, along with knowledge of data pipelines and ETL processes, is highly valuable; certifications in these areas can be advantageous. Problem-solving ability, attention to detail, and strong communication skills help professionals excel when working with diverse technical teams and stakeholders. These skills ensure data engineers can effectively build reliable, scalable data systems that support the development and deployment of machine learning models.

What are the typical daily responsibilities of a Machine Learning Data Engineer?

As a Machine Learning Data Engineer, your daily responsibilities often include designing, building, and maintaining data pipelines that efficiently move and transform data for machine learning applications. You may clean, preprocess, and validate large datasets, optimize storage solutions, and work closely with data scientists to ensure data is accessible and usable for model training and evaluation. Regular collaboration with software engineers and business analysts is common to align project goals and solve data-related challenges. Staying up to date with the latest tools and technologies is also important, as you'll help enable scalable and efficient deployment of machine learning solutions.

What engineers make $300,000 a year?

Senior machine learning data engineers with extensive experience, advanced skills in data pipelines, cloud platforms, and programming languages like Python or Scala can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized expertise, or work at large tech companies and financial institutions.
What job categories do people searching Machine Learning Data Engineer jobs in Texas look for? The top searched job categories for Machine Learning Data Engineer jobs in Texas are:
AI Machine Learning Engineer

AI Machine Learning Engineer

Oxy

Houston, TX • On-site

Full-time

Posted 20 days ago


Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
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 of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, 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
  • Work with Subject Matter Experts to design appropriate machine learning model types and architectures for particular applications ranging from subsurface characterization, reservoir engineering, production, and facilities etc
  • Tune algorithm hyper-parameters and perform model training and validation
  • Create workflows to optimize performance for computationally heavy workloads
  • Collaborate with Machine Learning Operation team to deploy machine learning solutions to the cloud

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 5 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
  • 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)
  • Strong critical thinking and communication skills

Additional Desired Qualifications:
  • AWS certification is highly preferred, with a strong preference for the AWS Certified Machine Learning - Specialty credential.
  • Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte Carlo (MCMC), and causal inference.
  • Hands-on experience in geospatial data analytics using Esri products, with a focus on ArcGIS Enterprise.
  • Experience with LLM-powered applications such as chatbots, question-answering systems, document processing and agentic workflow design.

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