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Artificial Intelligence Machine Learning Engineer Jobs in Spring, TX

SynergenX

Data Engineer II

Houston, TX · On-site

$130K - $145K/yr

Data Engineer II (Mid-Level) SynergenX Health Holdings Location: Houston, TX 77070 (Corporate ... Build data pipelines supporting Artificial Intelligence (AI), Machine Learning, and advanced ...

BuzzClan LLC

AI Security Analyst

Houston, TX · On-site

Understanding of artificial intelligence, machine learning, generative AI, large language models, or other emerging technology concepts. * Experience reviewing technology solutions, vendors, systems ...

New

BuzzClan LLC

AI Security Analyst

Houston, TX · Hybrid

Understanding of artificial intelligence, machine learning, generative AI, large language models, or other emerging technology concepts. * Experience reviewing technology solutions, vendors, systems ...

New

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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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Spring, TX

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 Jul 17, 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 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 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 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 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 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:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,590 per year, or $55.1 per hour.
Sr. Artificial Intelligence Lab Scientist - Sustainability

Sr. Artificial Intelligence Lab Scientist - Sustainability

Aramco

Houston, TX • On-site

$87K - $119K/yr

Full-time

Re-posted 28 days ago

Job description

Aramco Americas Company
Sr. Artificial Intelligence Lab Scientist - Sustainability (1843)
R&D Houston Downstream Research Center - Houston, TX - Full Time
OVERVIEW:
Aramco Americas is establishing a state-of-the-art research center in Houston dedicated to advancing CO₂ capture, low-carbon liquid fuels and chemicals, renewable energy, and storage solutions, as well as artificial intelligence applications in the energy sector. The center's mission is to transform early-stage, low-TRL research into mid-level technologies (TRL 5-7), bridging the gap between fundamental discovery and practical deployment.
SCOPE:
Aramco Americas is seeking senior researchers to advance the application of Artificial Intelligence (AI) and Machine Learning (ML) in support of Aramco's sustainability and energy transition initiatives. This position will focus on identifying, adapting, and applying AI/ML technologies to address practical challenges across sustainable energy systems, emissions reduction, and operational efficiency. The role will work closely with laboratory scientists, process development engineers, and business stakeholders to translate sustainability challenges into data-driven solutions, support decision-making, and accelerate the adoption of AI-enabled tools from concept through deployment. The ideal candidate will bring a broad understanding of AI/ML applications, sustainability domains, and systems-level thinking, complemented by strong project leadership, stakeholder engagement, and program management capabilities.
PRINCIPAL DUTIES:
  • Design, develop, and validate advanced AI/ML models for energy transition projects.
  • Collaborate with stakeholders and domain experts to understand challenges, frame AI-ready problem statements, and identify high-impact solutions.
  • Lead end-to-end AI initiatives, including data acquisition, feature engineering, model deployment, and performance monitoring.
  • Integrate AI solutions into existing systems, digital twins, and operational workflows.
  • Stay abreast of AI research and translate emerging methods into practical, real-world applications.
  • Work across cross-functional teams, providing technical guidance, mentorship, and leadership.
  • Contribute to technical outputs, including documentation, patents, and peer-reviewed publications.
  • Drive collaborative research both internally (with other R&D groups) and externally (with academic partners).
  • Maintain a safe, accident-free laboratory environment, adhering to all company safety policies and procedures.

MINIMUM REQUIREMENTS:
  • Ph.D. in Engineering or a relevant Science discipline, aligned with the expertise required for the assigned role.
  • Nine (9) years of experience in a substantive industrial, technological, or laboratory setting directly related to the job's focus.
  • Preferred background in research involving theoretical, computational, modeling, and/or simulation, with demonstrated application of advanced AI/ML methods to accelerate, enhance, or transform these areas. Coding in PyTorch, TensorFlow, JAX skills are also required.
  • Must be able to communicate and comprehend accurately, clearly and concisely in English at a level required to perform the job as outlined.
  • Candidate should be comfortable in working independently or part of a project team, frequent project presentation and travel to meetings at conferences and universities. Must possess good work habits, a strong work ethic, and be able to adhere to company work hours, policies, and standard business etiquette.

NO THIRD-PARTY CANDIDATES ACCEPTED

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