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Temporary Machine Learning Engineer Jobs in Houston, TX

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and deploy advanced AI and machine learning models to solve complex business ... Mentor junior engineers and provide technical guidance on AI best practices, model development, and ...

Varsity Tutors

Machine Learning Tutor

Sugar Land, TX · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Pearland, TX · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Missouri City, TX · Remote

$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 ...

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$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 ...

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All JobsMachine Learning Engineer JobsTemporary Machine Learning Engineer JobsTemporary Machine Learning Engineer Jobs in Houston, TX

Temporary Machine Learning Engineer information

See Houston, TX salary details

$30.1K

$123K

$184.8K

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

As of Jun 11, 2026, the average yearly pay for temporary machine learning engineer in Houston, TX is $122,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

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

AspectTemporary Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech or finance companiesResearch and analysis-focused, in tech, finance, or healthcare sectors
Employer UsageUsed for short-term ML projects, model deployment, or prototypingUsed for data analysis, insights, and predictive modeling

Temporary Machine Learning Engineers focus on implementing and deploying ML models on a short-term basis, often within project deadlines. Data Scientists analyze data to generate insights and develop models but may have a broader scope. Both roles require strong technical skills, but their primary functions differ in scope and application.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and machine learning can earn $500,000 or more annually, especially with experience, specialized skills, and stock options. High compensation often involves leadership roles, working at large tech companies, or in high-demand industries with advanced technical expertise.

Which 5 jobs will survive AI?

For a Temporary Machine Learning Engineer, roles that require complex problem-solving, creativity, and human judgment are more likely to survive AI automation, such as data science, AI ethics, software architecture, technical consulting, and specialized research. These jobs often involve skills in critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

Which 3 jobs will survive AI?

For a Temporary Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist despite AI advancements. These include jobs in healthcare, such as medical professionals; skilled trades like electricians or plumbers; and roles in education that involve personalized instruction. Such positions often require emotional intelligence, adaptability, and hands-on skills that AI cannot easily replicate.

Can I learn ML in 3 months?

A Temporary Machine Learning Engineer can acquire foundational machine learning skills in three months with intensive study, focusing on programming (Python), algorithms, and tools like scikit-learn or TensorFlow. However, mastering complex models and gaining practical experience typically requires longer, ongoing learning and project work.
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 are popular job titles related to Temporary Machine Learning Engineer jobs in Houston, TX? For Temporary Machine Learning Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Engineer jobs in Houston, TX look for? The top searched job categories for Temporary Machine Learning Engineer jobs in Houston, TX are:
Temporary Machine Learning Engineer jobs near you
Infographic showing various Temporary Machine Learning Engineer job openings in Houston, TX as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $122,971 per year, or $59.1 per hour.
Machine Learning Engineer - Automated Chromatography Analysis (EFT)

Machine Learning Engineer - Automated Chromatography Analysis (EFT)

Eurofins

Houston, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Eurofins rating

7.5

Company rating: 7.5 out of 10

Based on 175 frontline employees who took The Breakroom Quiz

55th of 103 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/

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