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On Call Machine Learning R Jobs in Texas (NOW HIRING)

Baylor College of Medicine

Intern/Aide

Houston, TX

$14.25 - $19/hr

Implement machine learning algorithms to predict biological outcomes. * Conduct robust data analysis using R programming. Visualization & Reporting * Design publication-quality data visualizations ...

Baylor College of Medicine

Intern/Aide

Houston, TX · On-site

$14.44/hr

Implement machine learning algorithms to predict biological outcomes. * Conduct robust data analysis using R programming. Visualization & Reporting * Design publication-quality data visualizations ...

Purple Drive

Data Scientist

Plano, TX

This role requires strong expertise in Python, R, SQL, statistical modeling, and machine learning frameworks , along with the ability to translate complex insights into actionable business strategies.

Purple Drive Technologies

Data Scientist

Plano, TX · On-site

This role requires strong expertise in Python, R, SQL, statistical modeling, and machine learning frameworks , along with the ability to translate complex insights into actionable business strategies.

C.A.T.

Machine Tech II (R)

Odessa, TX · On-site

Machine Tech II (R) The Rotational Machine Technician II is responsible for providing high quality ... Flexibility to work various schedules including shift work, required overtime and on call. We like ...

New

IT America Inc

ML Engineer

Plano, TX · On-site

Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as Python, R, or Java, essential for ...

Warren CAT

Machine Tech II (R)

Odessa, TX

$20.25 - $26/hr

The (R)otational Machine Technician II is responsible for providing high quality repair service on ... Flexibility to work various schedules including shift work, required overtime and on call. WHY WORK ...

Lancesoft

IT - AI/ML Engineer 2

Austin, TX · On-site

$85.94 - $90.72/hr

Proficient in machine learning frameworks (such as TensorFlow or PyTorch) and libraries (like scikit-learn). Strong coding skills in programming languages like Python, R, or Java. Knowledge of data ...

Warren CAT

Machine Tech II (R)

Odessa, TX · On-site

$20.25 - $26/hr

The (R)otational Machine Technician II is responsible for providing high quality repair service on ... Flexibility to work various schedules including shift work, required overtime and on call. WHY WORK ...

Damco

AI/ML Engineer

Plano, TX

Proficiency in programming languages commonly used in machine learning, such as Python and/or R. * Experience with machine learning libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn ...

Zimmerman Advertising

Data Scientist

Irving, TX

Develop and maintain continuous integration and delivery pipelines for machine learning models ... Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn ...

Samprasoft

Data Scientist (Pre-system)

Dallas, TX

Proficiency in machine learning algorithms such as multi-class classifications, decision trees ... Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source ...

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All JobsOn Call Machine Learning R JobsOn Call Machine Learning R Jobs in Texas

On Call Machine Learning R information

What is the difference between On Call Machine Learning R vs Data Scientist?

AspectOn Call Machine Learning RData Scientist
Required CredentialsTypically requires proficiency in R, statistical analysis, and some machine learning knowledgeRequires advanced degrees (often Master’s or PhD), programming skills (R, Python), and data analysis expertise
Work EnvironmentOften on-demand, project-based, or support roles within organizations or consulting firmsFull-time roles in various industries, involving data analysis, model development, and strategic insights
Employer & Industry UsageUsed by companies needing immediate machine learning support or troubleshootingEmployed across industries for data-driven decision making and predictive modeling

While both roles involve machine learning and R, On Call Machine Learning R focuses on providing immediate, project-specific support using R, whereas Data Scientists typically work on comprehensive data analysis and model development in a full-time capacity.

What are the most commonly searched types of Machine Learning R jobs in Texas? The most popular types of Machine Learning R jobs in Texas are:
What cities in Texas are hiring for On Call Machine Learning R jobs? Cities in Texas with the most On Call Machine Learning R job openings:
On Call Machine Learning R jobs near you
Machine Learning (ML) Engineer - HP Digital Products Team

Machine Learning (ML) Engineer - HP Digital Products Team

HP Development Company, L.P.

Spring, TX • On-site

$130.70K - $205.20K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 27 days ago

Job description

Machine Learning (ML) Engineer - HP Digital Products Team
Description -
HP is the world's leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.
We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works. At HP, the future is yours to create!
The Digital Products team is responsible for the design, build, and deployment of world class AI enabled products and solutions that empower a future ready workforce, drive efficiencies via automation and support implementation of newer business operating models for HP's business. With a focus on Innovation, the group drives differentiation with architectural vision to consolidate, accelerate and simplify new technology adoption and deliver high value solutions that solve the pain points of all its stakeholders.
Role Overview:
We are seeking a Machine Learning Engineer to design, develop, and deploy AI/ML models that power innovative digital products. You will collaborate closely with AI Solutions Architects, Domain Solution Architects, Full Stack Engineers, and Product teams to ensure models are production-ready, scalable, and aligned with business objectives.
Key Responsibilities:
  • Design, implement, and optimize ML models for production systems, ensuring accuracy, efficiency, and scalability.
  • Collaborate with Full Stack Engineers and AI Solutions Architects to integrate ML models into applications and platforms.
  • Develop and maintain data pipelines and workflows to support training, testing, and deployment of ML models.
  • Evaluate and implement state-of-the-art ML algorithms and frameworks suitable for domain-specific problems.
  • Monitor, troubleshoot, and improve model performance in production.
  • Work with Product Managers and Data Analysts to translate business requirements into ML solutions.
  • Contribute to architecture discussions, best practices, and reusable ML frameworks across the organization.
  • Stay up-to-date with emerging trends and technologies in AI and ML to bring innovation into production solutions.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
  • 3-7 years of experience in ML/AI engineering, including model development and deployment.
  • Proficiency in Python, R, or similar languages, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with cloud platforms (AWS, Azure, GCP) and ML deployment pipelines (MLOps).
  • Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Ability to work in cross-functional agile teams and communicate technical concepts effectively.

Preferred:
  • Experience in deploying ML models in production at scale.
  • Familiarity with containerization (Docker/Kubernetes) and microservices for ML applications.
  • Prior experience in product-focused or squad-based digital engineering teams.
  • Knowledge of domain-specific applications of AI (healthcare, finance, retail, etc.).

Why Join Us:
You will play a key role in building intelligent, AI-driven products that solve real-world problems. This role offers the opportunity to collaborate across product, engineering, and design teams while working at the forefront of AI and machine learning innovation.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Pay and Benefits
The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview
  • https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
No
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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