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Artificial Intelligence Machine Learning Engineer Jobs in Spring, TX

AI Solutions Architect

Houston, TX

$60.25 - $79.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Senior AI Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. * 5+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role, with a ...

... artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes. Essential Job Responsibilities * Work with Subject Matter Experts to design ...

... artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes. Essential Job Responsibilities * Work with Subject Matter Expertsto design ...

... artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration • Working with cyber data ...

New

AI and Data Science Engineer III

Houston, TX · On-site +1

$109.30K - $131.30K/yr

Cloud or artificial intelligence or machine learning certification * 4+ years of experience with ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue ...

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue ...

LLM Engineer

Houston, TX

$120K - $130K/yr

Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools * Hands ... Basic understanding of prompt engineering and structured prompting techniques * Strong written ...

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools * Hands ... Basic understanding of prompt engineering and structured prompting techniques * Strong written ...

Senior Machine Learning Engineer

Houston, TX · On-site

$116.90K - $154.20K/yr

They are seeking an experienced Machine Learning Engineer to join their data science and machine ... • Genuine intellectual curiosity about commodities markets, global energy flows, and the ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154.20K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Genuine intellectual curiosity about commodities markets, global energy flows, and the commercial ...

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Artificial Intelligence Machine Learning Engineer information

See Spring, TX salary details

$28K

$114.6K

$172.2K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for artificial intelligence machine learning engineer in Spring, TX is $114,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $137,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Spring, TX? For Artificial Intelligence Machine Learning Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Spring, TX look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Spring, TX with the most Artificial Intelligence Machine Learning Engineer job openings:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Spring, TX as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $114,590 per year, or $55.1 per hour.
Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence/Machine Learning Engineer

Soni Resources

Houston, TX • On-site

Full-time

Posted 20 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.

Soni Resources logo

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