ZipRecruiter

Log In

1

Machine Learning Engineer Python Jobs in Lewisville, TX

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Master's degree (or foreign equivalent) in Computer Science, Engineering, Machine Learning ... Java, Python, or Node.js;JavaScript;Agile methodologies or SAFe Software Development Principles;

Bespoke Labs

Machine Learning Engineer

Arlington, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Dallas, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Mckinney, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Cisco

Principal Machine Learning Engineer

Dallas, TX · On-site

The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the ... in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) • Experience translating ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Lewisville, TX

Machine Learning Engineer Python information

See Lewisville, TX salary details

$21.5K

$130.7K

$189.1K

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

As of Jun 25, 2026, the average yearly pay for machine learning engineer python in Lewisville, TX is $130,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $153,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
What are popular job titles related to Machine Learning Engineer Python jobs in Lewisville, TX? For Machine Learning Engineer Python jobs in Lewisville, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Lewisville, TX look for? The top searched job categories for Machine Learning Engineer Python jobs in Lewisville, TX are:
What cities near Lewisville, TX are hiring for Machine Learning Engineer Python jobs? Cities near Lewisville, TX with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Lewisville, TX as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $130,732 per year, or $62.9 per hour.
Machine Learning Engineer, Unity Catalog

Machine Learning Engineer, Unity Catalog

Glow Networks

Dallas, TX • On-site

Full-time

Posted 5 days ago

Job description

Job Description: Machine Learning Engineer, Unity Catalog
Location: Remote (PST)
Duration: 10 Months
We are looking for an ML engineer with expertise in Unity Catalog and Feature Store in Databricks to help us build and maintain a solid foundation for our data and machine learning workflows. You will work on organizing data, managing access, and enabling machine learning models to operate efficiently in production
• Proficiency with Java
The ML Engineers will be supporting 3 web services applications - tech stack - Java 11 - Azure, AKS, and APIM.
• Set up and manage Unity Catalog in Databricks to organize and secure data access across teams
• Design and operationalize Feature Stores to support machine learning models in production
• Build efficient data pipelines to process and serve features to ML workflows
• Collaborate with teams using Databricks, Azure Cosmos DB, and other Azure tools to integrate data solutions
• Monitor and optimize the performance of pipelines and feature stores
• 5 - Strong experience with Unity Catalog in Databricks for managing data assets and access control
• 4 - Hands-on experience working with Databricks Feature Store or similar solutions
• 2 - Knowledge of building and maintaining scalable ETL pipelines in Databricks
• 2- Familiarity with Azure tools like Azure Cosmos DB and ACR
• 2- Understanding of machine learning workflows and how feature stores fit into the pipeline
• 5- Strong problem-solving skills and a collaborative mindset
• 3- Proficiency in Python and Spark for data engineering tasks
• 3- Experience with monitoring tools like Splunk or Datadog to ensure system reliability
• 2- Familiarity with AKS for deploying and managing containers

Apply