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Senior Machine Learning Engineer Jobs in Texas (NOW HIRING)

Senior Machine Learning Engineer

Austin, TX ยท On-site

$210K - $260K/yr

* Senior Machine Learning Engineers needed for high growth tech company * Austin, TX - must be willing to work in office 4 days a week * High competitive salary + equity + strong benefits Senior ...

Senior Machine Learning Engineer

Plano, TX ยท On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years Department: Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an ...

Senior Machine Learning Engineer

Plano, TX ยท On-site

$100K - $137K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning techniques, large-scale data processing, and model deployment in cloud ...

Senior Machine Learning Engineer

Plano, TX ยท On-site

$100K - $138K/yr

They are seeking an experienced Senior Machine Learning Engineer to design, develop, and deploy scalable machine learning models while collaborating with cross-functional teams to integrate these ...

Senior Machine Learning Engineer

Plano, TX ยท On-site

$100K - $138K/yr

They are seeking an experienced Senior Machine Learning Engineer to design, develop, and deploy scalable machine learning models for real-world business problems. Responsibilities : โ€ข Design ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$335K - $400K/yr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$335K - $400K/yr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and ...

Sr. Machine Learning Engineer

Dallas, TX ยท On-site +1

$103K - $142K/yr

JOB TITLE: Sr. Machine Learning Engineer LOCATION: Coppell, TX (Hybrid role, may work from home) DUTIES: Design, develop, and deploy high-quality, scalable, and maintainable software systems ...

Senior Machine Learning Engineer

Austin, TX ยท On-site +1

$335K - $400K/yr

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and ...

Senior Machine Learning Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Deep Neural Networks (DNN): * Hands-on ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$121K - $160K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Senior Machine Learning Engineer II

Austin, TX ยท On-site

$103K - $142K/yr

They are seeking a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for advanced distributed processing platforms, working ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$103K - $142K/yr

Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector initiatives focused on building and optimizing production ready AI systems. The role involves ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Senior Machine Learning Engineer

Austin, TX ยท On-site

$103K - $142K/yr

Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector initiatives focused on building and optimizing production-ready AI systems. The role involves ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Senior Machine Learning Engineer II

Austin, TX ยท On-site

$103K - $142K/yr

They are seeking a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for advanced distributed processing platforms, collaborating ...

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Showing results 1-20

Senior Machine Learning Engineer information

See Texas salary details

$55.4K

$117.9K

$171K

How much do senior machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior machine learning engineer in Texas is $117,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $133,700.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Texas? The most popular types of Machine Learning Engineer jobs in Texas are:
What cities in Texas are hiring for Senior Machine Learning Engineer jobs? Cities in Texas with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,907 per year, or $56.7 per hour.

Senior Machine Learning Engineer

Lawrence Harvey

Austin, TX โ€ข On-site

$210K - $260K/yr

Full-time

Posted 12 days ago


Job description

  • Senior Machine Learning Engineers needed for high growth tech company
  • Austin, TX - must be willing to work in office 4 days a week
  • High competitive salary + equity + strong benefits

Senior Machine Learning Engineer
We're partnering with a fast-growing technology company that's building machine learning systems at significant scale to solve complex real-world challenges. Their platform processes billions of transactions annually and uses advanced AI to power intelligent decision-making for millions of end users.
As a Senior Machine Learning Engineer, you'll work at the intersection of machine learning and software engineering, collaborating closely with product and engineering teams to design, build and deploy production-grade ML models that directly influence business outcomes.
Compensation
  • Total compensation: $335k-$400k
  • Base salary: $210k-$260k
  • Equity package included
  • Comprehensive benefits

What you'll do
  • Partner with product managers and engineers to translate business problems into scalable machine learning solutions.
  • Design, develop and deploy production-ready machine learning models across areas such as ranking, prediction, optimisation, forecasting and recommendation.
  • Build robust data pipelines, engineer high-quality features and integrate models into scalable production infrastructure.
  • Monitor model performance, detect drift and continuously improve model accuracy through retraining and experimentation.
  • Write clean, well-tested, production-quality code and contribute to engineering best practices across testing, reliability and performance.
  • Research emerging machine learning techniques, prototype new approaches and validate ideas through offline and online experimentation.

What we're looking for
  • PhD or Master's degree in Computer Science, Statistics, Mathematics or a related quantitative discipline (or equivalent industry experience).
  • Strong background in machine learning and software engineering with experience delivering production ML systems.
  • Expertise in one or more of the following areas:
    • Recommender systems
    • Bayesian machine learning
    • Multi-task learning
    • Meta-learning
    • Ranking, prediction or optimisation models
  • At least 3 years of experience building end-to-end machine learning systems, including training, deployment, serving and monitoring.
  • Experience with modern ML infrastructure such as TensorFlow, Kubeflow (or similar) and feature stores is highly desirable.
  • Familiarity with large-scale deep learning architectures used for recommendation or ranking systems is a plus.

Working arrangements
  • Hybrid working model with four days per week in the office and one day working remotely.

This is an opportunity to join a highly technical engineering team where machine learning sits at the core of the product. You'll have the chance to work on challenging problems at scale, collaborate with experienced engineers and researchers, and see your work make a measurable impact.