1

Junior Machine Learning Engineer Jobs in Katy, TX

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

As an AI Engineer on this team, you will partner with AI and Machine Learning Engineers across the ... Experience implementing machine learning frameworks and libraries. * Development experience with ...

Showing results 21-40

Junior Machine Learning Engineer information

See Katy, TX salary details

$30.7K

$65.9K

$100.5K

How much do junior machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for junior machine learning engineer in Katy, TX is $65,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $73,400.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

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

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

What are popular job titles related to Junior Machine Learning Engineer jobs in Katy, TX?

For Junior Machine Learning Engineer jobs in Katy, TX, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning Engineer jobs in Katy, TX look for?

The top searched job categories for Junior Machine Learning Engineer jobs in Katy, TX are:

What cities near Katy, TX are hiring for Junior Machine Learning Engineer jobs?

Cities near Katy, TX with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Katy, TX as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $65,875 per year, or $31.7 per hour.

Machine Learning Engineer - Automated Chromatography Analysis (EFT)

Eurofins

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Eurofins rating

7.4

Company rating: 7.4 out of 10

Based on 180 frontline employees who took The Breakroom Quiz

68th of 120 rated laboratories


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/

What Eurofins employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Eurofins logo

About Eurofins

Sourced by ZipRecruiter

Industry

Scientific research and development services, biotechnology research and development and environmental consulting services

Company size

10,000+ Employees

Headquarters location

Leacock, PA, US