1

Apprentice Machine Learning Testing Jobs in Houston, TX

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154.20K/yr

... testing, and code review * 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154.20K/yr

... testing, and code review * 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production ...

Senior Machine Learning Engineer

Houston, TX

$117K - $154.20K/yr

... testing, and code review * 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production ...

Senior Machine Learning Engineer

Houston, TX · On-site

$116.90K - $154.20K/yr

... testing, and code review • 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in ...

... machines, blowtorches, and hand tools. Apprentices of this skilled trade enroll in a time-based program for 2 years with an on the job learning attainment of 4,000 hours, supplemented by the minimum ...

... machines, blowtorches, and hand tools. Apprentices of this skilled trade enroll in a time-based program for 2 years with an on the job learning attainment of 4,000 hours, supplemented by the minimum ...

next page

Showing results 1-20

Apprentice Machine Learning Testing information

See Houston, TX salary details

$10

$18

$26

How much do apprentice machine learning testing jobs pay per hour?

As of May 30, 2026, the average hourly pay for apprentice machine learning testing in Houston, TX is $18.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are the most commonly searched types of Machine Learning Testing jobs in Houston, TX? The most popular types of Machine Learning Testing jobs in Houston, TX are:
What are popular job titles related to Apprentice Machine Learning Testing jobs in Houston, TX? For Apprentice Machine Learning Testing jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Houston, TX look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Houston, TX are:
What cities near Houston, TX are hiring for Apprentice Machine Learning Testing jobs? Cities near Houston, TX with the most Apprentice Machine Learning Testing job openings:

Machine Learning Engineer - Automated Chromatography Analysis

Eurofins USA Environment Testing

Houston, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Company Description

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate.

Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies.

Job Description

We are seeking a Machine Learning (ML) Expert with experience in chemical data processing to drive AI innovations in analytical chemistry. You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets.

 Job Duties: 

  • Develop AI/ML models for processing mass spectrometry and chromatography data
  • Build software solutions to automate chemical data analysis and interpretation
  • Integrate ML algorithms into analytical pipelines for chemical property prediction and anomaly detection
  • Optimize data structures for high-throughput chemical analysis
  • Collaborate with data scientists
  • Troubleshoot complex technical issues and optimize software performance
  • Additional duties as assigned 
Qualifications

Basic Minimum Qualifications:

  • MSc or PhD in Machine Learning, Data Science, Chemistry, or a related field
  • Strong programming skills in Python (Pandas, Scikit-learn, PyTorch, TensorFlow)
  • Experience with, GC-MS, HPLC-MS and handling large chemical datasets
  • Familiarity with cloud-based AI solutions (AWS, Azure, GCP)
  • Authorization to work in the United States without restriction or sponsorship 

Ideal Candidate will have: 

  •  Experience with Docker, Kubernetes, CI/CD for scalable Machine Learning deployment
  •  Knowledge of computational chemistry and cheminformatics
  •  Background in pharmaceutical or industrial chemical analysis

Additional Information

Professional working proficiency in English is a requirement, including the ability to read, write and speak in English.

As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work.  We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays, paid time off, and dental and vision options.

We support your development! Do you feel you don’t match 100% of the requirements? Don’t hesitate to apply anyway! Eurofins companies are committed to supporting your career development.

We embrace diversity! Eurofins network of companies believe in strength and innovation through diversity, being an Equal Opportunity Employer. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique.

Sustainability matters to us! We are well on our way to achieving our objective of carbon neutrality by 2025, through a combination of emission reduction and compensation initiatives. We encourage our laboratory leaders to make sustainable changes at their local level, and in addition to their initiatives we also count on our dedicated carbon reduction team to help us to achieve this goal!

Find out more in our career page: https://careers.eurofins.com/ 

Eurofins USA Environment Testing is a Disabled and Veteran Equal Employment Opportunity employer.