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Temporary Machine Learning Engineer Jobs in Houston, TX

Cisco

Principal Machine Learning Engineer

Houston, TX

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

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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.
Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence/Machine Learning Engineer

Soni Resources

Houston, TX • On-site

Full-time

Posted 2 days ago

Job description

The AI/ML Engineer is responsible for designing, building, and deploying intelligent systems that enable predictive insights, automation, and smarter decision-making across the enterprise. This individual operates at the intersection of data science, software engineering, and applied research - translating complex business problems into scalable machine learning solutions that deliver measurable impact.
Key Responsibilities:
  • Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow, and PyTorch.
  • Partner with product, engineering, and data teams to identify opportunities where AI can drive efficiency or innovation.
  • Build end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring.
  • Ensure responsible AI practices through bias detection, model explainability, and continuous model retraining.
  • Stay current on emerging trends in generative AI, NLP, and computer vision to drive future capabilities.

Ideal Background:
  • 5-10 years of experience in applied AI/ML
  • Strong foundation in statistics, algorithms, and data engineering.
  • Proven success deploying models in production environments (e.g., AWS Sagemaker, Azure ML).
  • Advanced degree in Computer Science, Data Science, or related field preferred.
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About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

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