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Entry Level Machine Learning Jobs in Texas (NOW HIRING)

Stringer Operator Trainee

Brookshire, TX

$14.50 - $17.75/hr

Observe the machine's automated quality checks displayed on a large monitor and interpret the ... The culture emphasizes growth, learning, and internal mobility, offering motivated individuals a ...

Stringer Operator Trainee

Brookshire, TX

$14.50 - $17.75/hr

Observe the machine's automated quality checks displayed on a large monitor and interpret the ... The culture emphasizes growth, learning, and internal mobility, offering motivated individuals a ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Junior Business Analyst

Fort Worth, TX

$25.25 - $34/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who should apply?

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering ...

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Entry Level Machine Learning information

See Texas salary details

$11

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

As of Jun 20, 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 $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

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 skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

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 engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
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 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:
Stringer Operator Trainee

Stringer Operator Trainee

Aerotek

Brookshire, TX

$14.50 - $17.75/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Aerotek is seeking Stringer Operator Trainee:

Job Description

The Stringer Operator Trainee will learn to operate highly automated stringer equipment that assembles solar cells by running string through multiple cells and soldering them together for placement on solar panel frames. You will begin by working closely with an experienced operator, gradually taking full ownership of the machine, monitoring material supply, reviewing automated quality checks, and visually inspecting finished product. As you grow in the role, you are expected to increase your productivity and performance to meet and exceed the output of the current workforce.

Responsibilities

  • Train alongside an experienced operator to learn the complete operation of the stringer machine and related equipment.
  • Monitor the supply of string or thread in the system to ensure the machine does not run out of material during operation.
  • Observe the machine’s automated quality checks displayed on a large monitor and interpret the information accurately.
  • Visually inspect solar cell strings after the cells are assembled to determine whether they meet quality standards or need to be set aside for repair.
  • Stop the machine every two hours for approximately 30 minutes to perform general cleaning and basic upkeep of the equipment.
  • Follow standard operating procedures, safety guidelines, and cleanliness requirements within the manufacturing environment.
  • Maintain a clean and organized work area to protect sensitive solar cell components and support efficient production.
  • Demonstrate consistent attention to detail and pride in workmanship to ensure high-quality output.
  • Collaborate with team members and trainers to continuously improve machine performance and production output.
  • Adapt to a rotating schedule and be willing to work both day and night shifts as assigned, including weekends on the 3-2-2-3 schedule.

Essential Skills

  • Previous experience in a production or manufacturing environment.
  • Experience as a machine operator or CNC operator, or operating other computer-controlled machinery.
  • Ability to learn and operate a fully automated stringer machine used in solar cell manufacturing.
  • Strong attention to detail with the ability to perform accurate visual inspections of small components.
  • Capability to monitor multiple processes simultaneously and respond quickly to issues such as low material supply.
  • Reliability and a strong sense of ownership, with genuine care about work quality and outcomes.
  • Good communication skills to interact effectively with trainers, supervisors, and team members.
  • Willingness and ability to work 12-hour shifts on a rotating 3-2-2-3 schedule, including days, nights, and weekends.
  • Physical ability to stand for long periods and perform routine cleaning and light maintenance tasks on the machine.

Additional Skills & Qualifications

  • Any prior experience operating CNC or other computer-controlled machines is highly beneficial.
  • Experience in general labor or general production work within a manufacturing setting.
  • Comfort working with automated systems and large display monitors for process and quality monitoring.
  • Demonstrated initiative, energy, and the ability to stay focused and engaged throughout long shifts.
  • Strong work ethic and pride in craftsmanship, with a commitment to meeting production and quality targets.

Why Work Here?

This is a contract-to-hire opportunity designed for individuals seeking a long-term career in a growing, high-tech manufacturing environment. The facility is brand new, with state-of-the-art, highly automated equipment and only half of the building currently in operation, leaving significant room for expansion. Additional production lines are being added in the near future, creating substantial opportunities for advancement and promotion as the team grows and the operation scales. Team members benefit from a structured schedule that provides regular three-day weekends every other week, along with the option to pick up extra shifts for additional hours. The culture emphasizes growth, learning, and internal mobility, offering motivated individuals a clear path to build a stable and rewarding career.

Work Environment

The role is based in a large, brand new, and very clean manufacturing facility designed for solar cell production. The environment is highly automated, with all equipment and machinery being new and technologically advanced. Due to the sensitivity of solar cells, some areas require wearing hair nets and beard nets for those with facial hair, and closed-toe shoes are mandatory throughout the facility. The schedule follows a 3-2-2-3 pattern, where one week consists of approximately 35 hours and the following week approximately 48 hours, including Friday, Saturday, and Sunday shifts every other week and a three-day weekend on alternating weeks. Day shifts run from 6:00 a.m. to 6:15 p.m., and night shifts run from 6:00 p.m. to 6:15 a.m., with both day and night positions available. The workplace is structured, safety-focused, and cleanliness-oriented, offering a modern, organized environment for manufacturing professionals.

Job Type & Location

This is a Contract to Hire position based out of Brookshire, TX.

Pay and Benefits

The pay range for this position is $18.00 - $20.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully onsite position in Brookshire,TX.

Application Deadline

This position is anticipated to close on Jun 26, 2026.

About Aerotek

Aerotek® Inc. provides staffing and services solutions in manufacturing, logistics, construction, aviation, facilities and maintenance. We provide the expertise, solutions and people required to rise to the challenges of North American industry. Headquartered in Hanover, Md., Aerotek operates a unified network of over 200 offices across North America, supporting more than 18,000 clients each year. Aerotek is an Allegis Group company, the global leader in workforce and business solutions. To learn more, visit: Aerotek.com | 1-888-AEROTEK.

Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance:
Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI):
We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Company Description

We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.