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Entry Level Machine Learning Engineer Jobs in Houston, 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 ...

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 ...

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Showing results 1-20

Entry Level Machine Learning Engineer information

See Houston, TX salary details

$28.6K

$66.2K

$112.7K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for entry level machine learning engineer in Houston, TX is $66,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $75,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Houston, TX? The most popular types of Machine Learning Engineer jobs in Houston, TX are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Houston, TX look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near Houston, TX with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Houston, TX as of May 2026, with employment types broken down into 60% Full Time, 38% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $66,239 per year, or $31.8 per hour.

Machine Learning Engineer - Automated Chromatography Analysis (EFT)

Eurofins US Network

Houston, TX

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Houston, TX, USA

Full-time

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/