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Entry Level Machine Learning Jobs in Texas (NOW HIRING)

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Operations Specialist I, Lifesciences

Dallas, TX · Remote

$20 - $24/hr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... entry level position. Expectations will increase with each advancement. All expectations will be ...

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How much do entry level machine learning jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for entry level machine learning in Texas is $16.27, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $17.69 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Entry Level Machine Learning jobs in Texas? For Entry Level Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Texas look for? The top searched job categories for Entry Level Machine Learning jobs in Texas are:
What cities in Texas are hiring for Entry Level Machine Learning jobs? Cities in Texas with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Texas as of July 2026, with employment types broken down into 1% Locum Tenens, 85% Full Time, 12% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $33,844 per year, or $16.3 per hour.
Revenue Cycle RPA Developer

Revenue Cycle RPA Developer

Methodist Health System

Dallas, TX • On-site

Full-time

Re-posted yesterday

Job description

Hours of Work :
8am - 5pm
Days Of Week :
M-F
Work Shift :
Job Description :
This position does not offer sponsorship.
Responsibilities:
  • Utilize industry-leading RPA platform such as UiPath, Blue Prism, Automation Anywhere, etc. to build and deploy efficient and scalable RPA solutions
  • Work collaboratively with internal teams and other cross-functional stakeholders to capture all business requirements and then translate those requirements into technical designs and solutions
  • Design, develop, test, document, and deploy RPA solutions
    • Includes but is not limited to managing credentials, queuing, logging, information storage, exception management, and scheduling
  • Minimize automation downtime through monitoring and maintenance
  • Build new processes/objects or enhance existing ones
  • Ensure compliance with industry regulations and data security standards
  • Stay up to date on emerging technologies and industry trends, such as incorporating APIs, Optical Character Recognition, Machine Learning, etc.

Qualifications:
  • 2+ years of experience in RPA tools and automation platforms like UiPath, Automation Anywhere, Blue Prism, etc.
  • Proficiency with other programming languages such as Python, C#, JavaScript, etc.

Experience:
  • Required experience:
    • Knowledge of automation infrastructure, configuration, and workflow-based logic
    • Executing ETL functions between operational systems
    • Certification in one or more RPA platform (e.g., UiPath Certified RPA Developer)
      • Within 6 months of employment
  • Preferred experience:
    • Healthcare revenue cycle processes and terminology
    • Experience creating and using APIs
    • Using analytical tools such as SQL, Power BI, etc.
    • Knowledge of EHR systems and workflows

Competencies
  • Strong analytical and problem-solving skills to identify the proper technical approach and troubleshoot issues
  • Ability to work collaboratively in a team environment and communicate effectively
  • Detail-oriented with a focus on delivering high-quality results
  • Self-motivated and resourceful with the ability to meet deadlines under pressure

Methodist Health System is a faith-based organization with a mission to improve and save lives through compassionate, quality healthcare. For nearly a century, Dallas-based Methodist Health System has been a trusted choice for health and wellness. Named one of the fastest-growing health systems in America by Modern Healthcare, Methodist has a network of 12 hospitals (through ownership and affiliation) with nationally recognized medical services, such as a Level I Trauma Center, multi-organ transplantation, Level III Neonatal Intensive Care, neurosurgery, robotic surgical programs, oncology, gastroenterology, and orthopedics, among others. Methodist has more than two dozen clinics located throughout the region, renowned teaching programs, innovative research, and a strong commitment to the community. Our reputation as an award-winning employer shows in the distinctions we've earned:
  • Great Place to Work Certified 2026-2027
  • Glassdoor's Best Places to Work 2025 & 2026
  • Glassdoor's Best Places to Work in Healthcare, Biotech & Pharma 2026
  • TIME's Best Companies for Future Leaders 2025 & 2026
  • Newsweek's America's Most Admired Workplaces 2026
  • Glassdoor's Best-Led Companies 2025
  • Fortune Best Workplaces in Health Care 2025
  • Military Friendly Gold Employer 2025
  • Becker's Hospital Review 150 Top Places to Work in Healthcare 2025
  • Newsweek's Americas Greatest Workplaces 2025

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