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Artificial Intelligence Machine Learning Jobs in Spring, TX

Vitol

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 ...

MD Anderson

Postdoctoral Fellow - Imaging Physics

Houston, TX

$46.80K - $63.50K/yr

... artificial intelligence (AI) algorithms, biomechanical modeling, and image guided cancer therapy ... Experience with machine learning and deep learning techniques, statistical modeling, biomechanical ...

Deloitte

Finance Analytics & AI Manager

Houston, TX

One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes into account the wide range ...

MD Anderson

Postdoctoral Fellow - Imaging Physics

Houston, TX

$46.80K - $63.50K/yr

... artificial intelligence (AI) algorithms, biomechanical modeling, and image guided cancer therapy ... Experience with machine learning and deep learning techniques, statistical modeling, biomechanical ...

MD Anderson

Postdoctoral Fellow - Imaging Physics

Houston, TX

$46.80K - $63.50K/yr

... artificial intelligence (AI) algorithms, biomechanical modeling, and image guided cancer therapy ... Experience with machine learning and deep learning techniques, statistical modeling, biomechanical ...

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How much do artificial intelligence machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for artificial intelligence machine learning in Spring, TX is $23.45, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $24.81 per hour, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning job?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Machine Learning position, and why are they important?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), 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 like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

What are some typical projects or tasks an Artificial Intelligence Machine Learning professional might work on?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

Is there a job related with machine learning for artificial intelligence?

Yes, roles such as Machine Learning Engineer and AI Research Scientist focus on developing algorithms and models for artificial intelligence systems. These jobs typically require skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. They are common in tech companies, research institutions, and industries applying AI solutions.
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What job categories do people searching Artificial Intelligence Machine Learning jobs in Spring, TX look for? The top searched job categories for Artificial Intelligence Machine Learning jobs in Spring, TX are:
What cities near Spring, TX are hiring for Artificial Intelligence Machine Learning jobs? Cities near Spring, TX with the most Artificial Intelligence Machine Learning job openings:
Artificial Intelligence Machine Learning jobs near you

Sr. Lead Software Engineer - Full Stack/Big Data

JPMorganChase

Houston, TX • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
JPMorgan Chase is one of the oldest financial institutions, providing innovative financial solutions to a wide range of clients. As a Senior Lead Software Engineer, you will be part of an agile team responsible for enhancing and delivering technology products, utilizing your technical expertise to drive significant business impact.
Responsibilities:
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)- Java, J2ee, Front End (React, Angular) based technical skills
• Experience with Relational Databases & SQL
• Knowledge of GIT, bitbucket, Maven
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Practical cloud native experience- AWS cloud with hands-on various AWS services- Cloud Computing, Spring boot, Spring cloud
• Experience with development of microservices and REST API
Preferred:
• Experience in Java 8/11/17, Object-Oriented design & analysis is a plus
• Knowledge on Big Data technical stack preferably with spark
• Experience with Unix, shell scripts, python is a plus
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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