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Machine Learning Jobs in Richmond, TX (NOW HIRING)

Medinext Global LLC

Senior Data Scientist

Houston, TX · On-site

Develop and implement machine learning algorithms to solve complex business problems. * Analyze large datasets to generate insights and inform decision-making processes. * Collaborate with product ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine learning * Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency ...

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Machine Learning with MLOps * Convert business problems to solutions Job Summary: We are seeking an experienced Gen AI/ML Solution Architect to lead the design, development, and deployment of ...

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 problems across diverse domains. * Collaborate with cross-functional teams, including data scientists ...

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All JobsMachine Learning JobsMachine Learning Jobs in Richmond, TX

Machine Learning information

See Richmond, TX salary details

$20.8K

$34.7K

$71.7K

How much do machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning in Richmond, TX is $34,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,500.00 and $37,500.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Richmond, TX?

The most popular types of Machine Learning jobs in Richmond, TX are:

What are popular job titles related to Machine Learning jobs in Richmond, TX?

For Machine Learning jobs in Richmond, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning jobs in Richmond, TX look for?

The top searched job categories for Machine Learning jobs in Richmond, TX are:

What cities near Richmond, TX are hiring for Machine Learning jobs?

Cities near Richmond, TX with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Richmond, TX as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $34,682 per year, or $16.7 per hour.

Intern/Aide - Part-time

Baylor College of Medicine

Houston, TX

$14.25 - $19/hr

Part-time, Internship

Re-posted 22 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 628 rated colleges and universities

Job description

Summary

The intern/aide will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in the cluster computers. Overall, the position will offer great exposure to genomic data science and advanced machine learning. The PI will identify the specific datasets and machine learning algorithms. The intern will implement the algorithms in Python/R and fit them on the datasets in the cluster computers. This is part-time position, 16 hours/week. 

Job Duties
  • Learns to formulate machine learning problems.
  • Learns to implement machine learning algorithms using Python/R.
  • Learns to fit machine learning models on biological data.
  • Identifies the specific datasets and machine learning algorithms.
  • Implements the algorithms in Python/R and fit them on the datasets in our cluster computers.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • Must be enrolled in high school, trade/vocational school or higher education institution. 
Preferred Qualifications
  • Undergraduate or graduate students enrolled in program for computer science or statistics or computational biolgy or biomedical sciences. 
  • Strong skills in computer science and programming (algorithm implementation, data structure, and machine learning).
  • Familiarity with cutting-edge models such as foundation models, large language models, diffusion models, is a plus.

What Baylor College of Medicine employees say

Pay

Benefits

Hours and flexibility

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