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Entry Level Machine Learning Jobs in Houston, TX

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

Assembly Technician

League City, TX · On-site

$19 - $21/hr

Familiarity with manufacturing processes (machining, welding, assembly, electrical) * Forklift ... Free access for our full eLearning library * Opportunity to advance your skills AND your pay!

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 ...

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 ...

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Entry Level Machine Learning information

See Houston, TX salary details

$11

$16

$20

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

As of Jun 9, 2026, the average hourly pay for entry level machine learning in Houston, TX is $16.67, 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 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.

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 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:
What are popular job titles related to Entry Level Machine Learning jobs in Houston, TX? For Entry Level Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Houston, TX look for? 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:
Operator Trainee

Other

Posted 5 days ago


Energy Transfer rating

9.1

Company rating: 9.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

2nd of 74 rated oil and gas companies


Job description

Summary:

The Operator Trainee is an entry level position that creates value by observing and learning multiple positions within the terminal. Responsible for assisting in the successful internal and external movement of product through the facility. Daily activities are assigned with input from the shift A-Operator. This position reports to the Shift Supervisor.


Essential duties and responsibilities:
To perform this job successfully, an individual must be able to perform each essential job duties satisfactorily. The requirements for this position are listed below: 

  • Line up pumps and lines for loading/unloading of tank railcars and tank trucks.
  • Complete all operational paperwork as required. 
  • Loading/unloading of tank railcars and tank trucks. 
  • Stand dock watch when loading or unloading vessels. 
  • Connect and disconnect dock hoses or loading arms to vessels for loading or unloading. 
  • Gauge, sample and take temperatures on tank railcars and tank  trucks
  • Operate dock crane for hose connecting and disconnecting.
  • Know and understand emergency response operation procedures, firefighting, spill containment measures and clean-up procedures.
  • Comply with the Operations and Spill Response procedures and company safety policies and procedures.
  • Perform general housekeeping duties necessary to maintain clean work areas.
  • Perform all other duties as assigned.
  • Assist with other duties or special projects as directed by the Shift Supervisor/Lead Operator.
 
 

Required education:

  • High school diploma or GED
  • Basic understanding of industrial operations and basic mathematical ability.
  • Ability to read and comprehend Standard Operating Procedures, SDS sheets and other technical documents. 
  • Experience in terminal operations preferred but not required.
  • Must be available for on-call as scheduled 
  • Must have a valid Driver's license
  • Must be able to obtain a TWIC card

Working Conditions:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

  • Lifting up to 50 lbs occasionally.
  • Driving, walking, standing frequently.
  • Exposure to adverse weather, cramped conditions and some heavy lifting
    Visits to industrial/manufacturing settings, which may include exposure to various materials and chemicals, as well as extreme temperature conditions and loud machinery, and require appropriate personal protective equipment.
  • Occasional overnight travel may be required.

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