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Machine Learning Developer Jobs in Texas (NOW HIRING)

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Yum! Brands

Machine Learning Engineer II

Plano, TX · On-site

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $130K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

CACI

Machine Learning Engineer

San Antonio, TX · Hybrid

Machine Learning Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local

Neuralink

Machine Learning Engineer

Austin, TX · On-site

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Capital One Group

Lead Machine Learning Engineer

Plano, TX · On-site

$150 - $200/hr

R249230Lead Machine Learning Engineer**Join the Dealer Tech division within Capital One's Financial Services Technology group, where we develop and support cutting edge technological solutions that ...

Koch Industries

Machine Learning Engineer

Austin, TX · On-site

$170K - $250K/yr

Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes directly from design parameters. They will be pre ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer Join the Dealer Tech division within Capital One's Financial Services Technology group, where we develop and support cutting edge technological solutions that ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

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All JobsMachine Learning Developer JobsMachine Learning Developer Jobs in Texas

Machine Learning Developer information

See Texas salary details

$17

$35

$48

How much do machine learning developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for machine learning developer in Texas is $35.79, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $48.37 per hour, depending on experience, location, and employer.

What does a machine learning developer do?

A Machine Learning Developer designs, builds, and implements machine learning models and systems that enable computers to learn from data without explicit programming. They work with large datasets, select appropriate algorithms, and optimize models for various tasks such as predictions, classifications, and recommendations. Their responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models into production environments. Machine Learning Developers typically collaborate with data scientists, software engineers, and business teams to deliver AI-powered solutions.

What are the key skills and qualifications needed to thrive as a machine learning developer?

To excel as a Machine Learning Developer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, as are certifications in data science or AI. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data findings into actionable solutions. These skills and qualities are essential to develop accurate models, collaborate with stakeholders, and drive innovation in a rapidly evolving field.

What are some common challenges faced by machine learning developers when deploying models to production environments?

Machine Learning Developers often encounter challenges such as ensuring model scalability, managing data drift, and integrating models with existing systems during deployment. Another frequent hurdle is monitoring model performance in real time and retraining models as new data becomes available. Collaborating closely with data engineers, DevOps, and software developers is essential to streamline the deployment pipeline and maintain model reliability in production.

What is the difference between Machine Learning Developer vs Data Scientist?

AspectMachine Learning DeveloperData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; certifications like TensorFlow or AWS MLBachelor's or Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops and deploys ML models in software or cloud environmentsAnalyzes data, builds models, and provides insights for decision-making
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, predictive modeling, and insights

Both roles require strong programming skills and knowledge of ML algorithms. Machine Learning Developers focus on building and deploying models in production environments, while Data Scientists analyze data to inform business decisions. The roles often overlap but differ mainly in their primary focus and end goals.

Is machine learning a high paying job?

Machine learning developers typically earn high salaries due to the specialized skills required, such as programming in Python or R and understanding algorithms. Salaries vary based on experience, location, and industry, but overall, the role is considered well-compensated within the tech field.

What are the most commonly searched types of Machine Learning Developer jobs in Texas?

The most popular types of Machine Learning Developer jobs in Texas are:

What are popular job titles related to Machine Learning Developer jobs in Texas?

For Machine Learning Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Machine Learning Developer jobs in Texas look for?

The top searched job categories for Machine Learning Developer jobs in Texas are:

Machine Learning Developer jobs near you
Infographic showing various Machine Learning Developer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $74,449 per year, or $35.8 per hour.

Machine Learning Engineer (W2 Only) (Dallas)

Diligent Tec, Inc

Dallas, TX • On-site

Part-time

Re-posted 7 days ago

Job description

Join to apply for the Machine Learning Engineer (W2 Only) role at Diligent Tec, Inc.

We are hiring 2 Machine Learning Engineers to join a fast‑growing applied research team working on large‑scale advertising and e‑commerce platforms.

Title

Machine Learning Engineer (W2 Only)

Location

Toronto, Canada (Remote) & US (Remote)

Employment Type

Long Term Contract – W2 Only

Experience

10+ Years

Eligibility

Candidates located in USA and Canada only.

Key Skills
  • Python, SQL, Scala or Java
  • PyTorch, Hugging Face Transformers, Deep Learning
  • Spark / Hadoop, MLOps
Responsibilities

Design and build scalable ML/DL services; work with massive datasets; deploy production‑grade models; collaborate closely with researchers and engineers to drive real business impact in advertising technology.

Strong communication skills and active participation in stand‑ups and team discussions are essential.

Referrals increase your chances of interviewing at Diligent Tec, Inc by 2x.

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