ZipRecruiter

Log In

1

Sr Machine Learning Engineer Jobs in Prosper, TX

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

Paradigm

Senior ML Ops Engineer

Irving, TX · On-site

$140 - $200/hr

We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are ... Deploy and support machine learning models and AI solutions in production, maintaining best ...

WTS Paradigm LLC

Senior ML Ops Engineer

Irving, TX · On-site

$123K - $170K/yr

We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are ... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ...

Paradigm

Senior ML Ops Engineer

Irving, TX · Remote

$123K - $170K/yr

We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are ... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ...

Carmax

Sr. Engineer, AI & ML

Dallas, TX · On-site

$103K - $142K/yr

The Senior Engineer in the Data Science and Machine Learning Engineering team at CarMax will be responsible for in providing reliable and scalable machine-learning capabilities across the ...

previous page

Showing results 41-60

All JobsSr Machine Learning Engineer JobsSr Machine Learning Engineer Jobs in Prosper, TX

Sr Machine Learning Engineer information

See Prosper, TX salary details

$54.5K

$115.9K

$168K

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

As of Aug 10, 2026, the average yearly pay for sr machine learning engineer in Prosper, TX is $115,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $131,400.00 per year, depending on experience, location, and employer.

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
What are popular job titles related to Sr Machine Learning Engineer jobs in Prosper, TX? For Sr Machine Learning Engineer jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Sr Machine Learning Engineer jobs in Prosper, TX look for? The top searched job categories for Sr Machine Learning Engineer jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Sr Machine Learning Engineer jobs? Cities near Prosper, TX with the most Sr Machine Learning Engineer job openings:
Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in Prosper, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $115,899 per year, or $55.7 per hour.

Senior ML Engineer

Resolve Tech Solutions

Addison, TX

$101K - $138K/yr

Full-time

Re-posted 15 hours ago

Job description

Responsibilities:
Develop machine learning models and algorithms to address business needs.
Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions.
Clean, preprocess, and analyze large datasets to extract meaningful insights.
Deploy machine learning models into production environments and monitor their performance.
Continuously improve model accuracy and performance through experimentation and optimization.
Stay up-to-date with the latest advancements in machine learning and related technologies.
Communicate findings and results to stakeholders in a clear and concise manner.


Requirements:
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
2~5 years of experience in machine learning, data science, or a related field.
Proficiency in programming languages such as Python, Java, or Scala.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform.
GCP Professional Machine Learning Engineer certification is required.
Experience with version control systems such as Git.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.


Preferred Qualifications:
Master's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
Experience with distributed computing frameworks such as Apache Spark.
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
Experience with natural language processing (NLP) or computer vision (CV) techniques.
Experience with continuous integration and continuous deployment (CI/CD) pipelines.
Contributions to open-source projects or participation in relevant communities.

Apply