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Senior Full Stack Machine Learning Engineer Jobs

Redolent, Inc.

Sr. Full Stack Engineer

Irving, TX · On-site

Job Title: Sr. Full Stack Engineer Location: Irving, TX (Preferred) | Minneapolis, MN | Chandler ... Experience developing machine learning solutions using diverse datasets, including AI model ...

Redolent, Inc.

Senior Full Stack Engineer

Irving, TX · On-site

Senior Full Stack Engineer Location: Irving, TX (preferred), Minneapolis, Chandler, Charlotte ... Experience developing machine learning solutions using diverse datasets, including advanced AI ...

Apple

Sr. Machine Learning Engineer, Siri Global

Cupertino, CA · On-site

$151K - $199K/yr

We are particularly interested in "full-stack" machine learning engineers with strong experience in ... Experience as a senior engineer, tech lead, or engineering manager for a machine learning-based ...

PLENA IMOBILIÁRIA

* Senior Full Stack Engineer, Creator Success Full Time Senior Full Stack Engineer, Creator Success ... machine learning models Optimize operational workflows and ensure seamless business processes #J ...

Homzen is Proudly

Senior Full Stack Engineer, Creator Success Full Time Senior Full Stack Engineer, Creator Success ... machine learning models Design intuitive user interfaces that deliver exceptional customer ...

Inorsa

Senior Full Stack Engineer

Austin, TX · On-site

They are seeking a Senior Full Stack Engineer to lead and build scalable systems, guide product ... machine learning models • Previous work on internal platforms, automation, or infrastructure ...

Inorsa

Senior Full Stack Engineer

Austin, TX · On-site

They are seeking a Senior Full Stack Engineer who will lead and build scalable systems, guide ... machine learning models • Previous work on internal platforms, automation, or infrastructure ...

Trabus Technologies

Full Stack Engineer

San Diego, CA · On-site

$92K - $185K/yr

Full Stack Engineer (Multiple Levels) We're looking for a Full Stack Engineer to support the ... Experience with Python and machine learning technologies is key. Senior UX/UI Engineer & Product ...

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Senior Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

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

As of Sep 9, 2026, the average yearly pay for senior full stack machine learning engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What cities are hiring for Senior Full Stack Machine Learning Engineer jobs?

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Senior Full Stack Machine Learning Engineer jobs near you

Sr. Full Stack Engineer

Irving, TX • On-site

Redolent, Inc.
IT Services • 51 - 200 employees
Learn more about Redolent, Inc.external

Contractor

Re-posted 8 days ago

Job description

Job Title: Sr. Full Stack Engineer
Location: Irving, TX (Preferred) | Minneapolis, MN | Chandler, AZ | Charlotte, NC (Alternate Locations)
Work Model: Hybrid (3 Days Onsite / 2 Days Remote)
Job Overview
We are seeking an experienced Sr. Full Stack Engineer with a strong background in full-stack application development, cloud technologies, AI/ML, and modern software engineering practices. The ideal candidate will have hands-on experience building scalable applications using Python and React while leveraging cloud platforms and DevOps methodologies to deliver high-quality solutions.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
  • Strong hands-on experience in full-stack software engineering.
  • Proficiency in Python for backend/application development and React for frontend/UI development.
  • Experience building and consuming REST APIs, microservices, and distributed systems.
  • Hands-on experience with Microsoft Azure development and deployment, along with solution design experience in AWS and/or Google Cloud Platform (GCP).
  • Experience developing machine learning solutions using diverse datasets, including AI model development, evaluation, optimization, and deployment.
  • Experience building or integrating chatbots or conversational AI solutions.
  • Strong understanding of cloud architecture, software design, application security, scalability, and performance.
  • Experience with DevOps practices and tools, including CI/CD, Infrastructure as Code (IaC), automated deployments, environment management, monitoring, and release support across cloud platforms.
  • Experience working with relational, NoSQL, and vector databases.
Preferred Qualifications
  • Experience with Azure Machine Learning, Azure Functions, Azure App Services, Azure DevOps, AWS Lambda, SageMaker, Google Vertex AI, Cloud Run, or similar cloud services.
  • Experience with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), or prompt orchestration frameworks.
  • Experience designing multi-cloud application architectures and integration patterns.
  • Familiarity with Docker, Kubernetes, and container-based deployment models.
  • Experience with MLOps, model lifecycle management, and production monitoring.
  • Experience working with relational, NoSQL, and vector databases.
  • Strong communication, collaboration, and solution design skills with cross-functional teams.
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

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