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Entry Level Machine Learning Jobs in Houston, TX

PROtect, LLC

Rope Access Technician Level I

Houston, TX · On-site

$52 - $68/hr

... An entry-level rope access technician who performs work-at-height tasks under the direct ... make sure a machine or process is working properly. * Active Learning - Understanding the ...

U-Haul

Hitch Installer / Entry Level Mechanic

Houston, TX

$20.50 - $27.50/hr

Are you interested in learning valuable technical skills? U-Haul is seeking a hard-working ... parts, machines, fumes, or irritating chemicals. May be required to use protective clothing, or ...

New

Metal Zinc LLC

Manufacturing Associate

Tomball, TX · On-site

The Production Line Associate position ranges from entry level to a minimal amount of experience ... learning, working, performing manual tasks, caring for oneself, attending employment related ...

Posted today

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Houston, TX

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

As of Sep 2, 2026, the average hourly pay for entry level machine learning in Houston, TX is $16.68, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $18.12 per hour, depending on experience, location, and employer.

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 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 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.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.
More about Entry Level Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Houston, TX?

The most popular types of Machine Learning jobs in Houston, TX are:

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For Entry Level Machine Learning jobs in Houston, TX, the most frequently searched job titles are:

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The top searched job categories for Entry Level Machine Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for Entry Level Machine Learning jobs?

Cities near Houston, TX 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 Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $34,691 per year, or $16.7 per hour.

874 - General Application - Mechanical Services Assistant- Entry Level

Apave

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

General Application - Mechanical Services Technician- Entry Level - Houston, TX. Job Description General Responsibilities
Adherence to safety standards and regulations, specifically OSHA standards.

  • Commitment to continuous learning and staying updated on industry advancements.
  • Strong communication skills for effective collaboration with team members and stakeholders.
  • Problem-solving skills to address challenges and implement solutions effectively.
  • Teamwork skills for working effectively with other professionals.


Specific Responsibilities (focused on insulation, pipefitting, sheet metal, etc.)

  • Knowledge in various industrial crafts (e.g. insulation, pipefitting, sheet metal, electrical, welding, rigging, etc.
  • Understanding and application of basic safety principles and practices in an industrial setting.
  • Knowledge and effective use of hand tools and power tools (e.g. measuring tools, handsaws, etc.).
  • Ability to read and interpret blueprints.
  • Competency in basic rigging and materials handling.
  • Practical application of construction math principles.
  • Experience in areas such as the installation, repair, and removal of insulation, and/or high-and low-pressure piping systems, sheet metal and more


Required Skills and Experience:

  • High School Diploma or equivalent is required.
  • Must be at least eighteen (18) years of age.
  • Installation, repair and removal of insulation, sheet metal, high-and low-pressure piping systems, corrosion monitoring, coatings inspection and coating applications, etc.
  • Certifications in NDT methods (MT/PT/UTT/RT) would be considered an asset.
  • Valid Driver's License and pre-access drug and alcohol testing required.
  • Pre-employment background checks will be required.
  • Valid TWIC Card or the knowledge of PIN to TWIC Card may be required for some sites/locations.
  • Travel may be required for some sites/locations sometimes with little notice.


Work Conditions:

  • Field duties require indoor and outdoor work in diverse industrial environments with varying climate conditions
  • Interaction with other crew employees, as well as supervisors, client personnel and a wide range of stakeholders
  • Working in a plant and/or shop area around production machinery with extreme noise levels
  • Work from various levels of heights and/or confined spaces for long periods of time
  • Wear safety equipment as required by the safety department for personal protection (PPE)


Physical and Mental Requirements:

  • Ability to lift, move, and carry objects weighing 75lbs. or greater
  • Must be able to walk, sit, stand, bend, reach, and climb
  • Must be able to work in confined spaces and at heights, including climbing tanks, ladders, scaffolding, towers, piping systems, catwalks, structural steel, and wind turbines
  • Perform physical activities that require considerable use of your arms and legs and moving your whole body, such as climbing, lifting, balancing, walking and stooping
  • Working extended hours and standing for extended periods of time
  • Work in indoor and outdoor environments in conditions of extreme heat and/or cold
  • Work in and near industrial hazards
  • Must be able to walk and climb except when performing non-field duties
  • Remain consistently active throughout shift
  • Sufficient clarity of speech and hearing and other communication capabilities, with or without reasonable accommodation, which permits the employee to communicate effectively
  • Sufficient vision (close vision and distance vision) or other powers of observation, with or without reasonable accommodation, which permits the employee to investigate
  • Sufficient manual dexterity, with or without reasonable accommodation, which permits the employee to perform routine in-field or office duties
  • Sufficient personal mobility and physical reflexes, with or without reasonable accommodation, which permits the employee to perform routine in-field or office duties and travel to off-site locations
  • Must be able to wear safety equipment as required by the safety department for personal protection (PPE)
  • Ability to maintain focus and multitask effectively
  • Exhibit sensible and responsible behavior
  • Ability to work autonomously or within a team environment


Benefits:

  • Dental Insurance.
  • Vision Insurance.
  • Health Insurance.
  • Paid Time Off.
  • 401(K) W/Matching.
  • Flexible Spending Account.
  • Health Savings Account.


NOTE: To be considered, applicants must be able to provide documentation of current or previous certifications, as well as all classroom and/or on-the-job training (OJT) hours required for certification.
*** Apave America Inc. is an equal opportunity employer that prohibits discrimination and harassment based on race, color, sex, religion, sexual orientation, national origin, disability, and other protected characteristics. *** We make hiring decisions based solely on qualifications, merit, and business needs. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and employees.

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