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Machine Learning Engineer Jobs in Keller, TX (NOW HIRING)

Lead Machine Learning Engineer

Plano, TX · On-site

$179 - $205/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 ...

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 ...

Lead Machine Learning Engineer

Plano, TX

$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 ...

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $130K/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 ...

Machine Learning Engineer

Plano, TX · On-site

$120 - $150/hr

Overview Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in ...

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale.

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $130K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale.

Showing results 21-40

Machine Learning Engineer information

See Keller, TX salary details

$28.6K

$116.9K

$175.7K

How much do machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning engineer in Keller, TX is $116,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $140,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate 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 Keller, TX?

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

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

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

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

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

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

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

Infographic showing various Machine Learning Engineer job openings in Keller, TX as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $116,948 per year, or $56.2 per hour.

Machine Learning Engineer (W2 Only) (Dallas)

Diligent Tec, Inc

Dallas, TX • On-site

Part-time

Re-posted 4 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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