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Temporary Machine Learning R Jobs in Houston, TX

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

Strong Python or R programming skills required * Experience developing, architecting, and running ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

Oxy

AI Machine Learning Engineer

Houston, TX

Strong Python or R programming skills required * Experience developing, architecting, and running ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

DXP Enterprises, Inc.

Temporary Manual Machinist

Houston, TX · On-site

$21 - $28.50/hr

R. tolerances on finished products * Any other task as assigned by the Supervisor Qualifications of the Temporary Manual Machinist include, but are not limited to: * 5 years' experience on manual ...

Mindlance

Data Scientist

Houston, TX · On-site

... machine learning, optimization etc. in business analytics or scientific/engineering settings • Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python ...

DXP Enterprises, Inc.

Temp Manual Machinist

Houston, TX · On-site

$21 - $28.50/hr

R. tolerances on finished products. Currently seeking a Temporary to Hire Manual Machinist for our Hempstead, Rd location. Responsibilities of the Temporary Manual Machinist include, but are not ...

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... machine learning. * Proven track record in the full data science project lifecycle, including data wrangling, statistical analysis, and data visualization. * Proficiency in Python and R, with ...

Innovcentric LLC

AI Architect

Houston, TX · On-site

$90/hr

... R, or Scala. • Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Proficiency in data manipulation and analysis using SQL and data processing ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

This requires that you have next to your knowledge of machine learning and/or statistics a good ... such as R, Python, Matlab. • Good knowledge of cloud environment like specifically Azure is ...

Strike

AI Analyst I

Spring, TX · On-site

... R, or a similar programming language. * Familiarity with SQL and working with datasets. * Understanding of fundamental statistics and data analysis concepts. * Exposure to machine learning concepts ...

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All JobsMachine Learning R JobsTemporary Machine Learning R JobsTemporary Machine Learning R Jobs in Houston, TX

Temporary Machine Learning R information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do temporary machine learning r jobs pay per year?

As of Jun 8, 2026, the average yearly pay for temporary machine learning r in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

What are popular job titles related to Temporary Machine Learning R jobs in Houston, TX? For Temporary Machine Learning R jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning R jobs in Houston, TX look for? The top searched job categories for Temporary Machine Learning R jobs in Houston, TX are:
Temporary Machine Learning R jobs near you
Infographic showing various Temporary Machine Learning R job openings in Houston, TX as of May 2026, with employment types broken down into 57% Full Time, 39% Part Time, 2% Temporary, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.
AI Machine Learning Engineer

AI Machine Learning Engineer

Oxy

Houston, TX • On-site

Full-time

Posted 29 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

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