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Executive Full Stack Machine Learning Engineer Jobs in Bedford, TX

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 ...

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

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 ...

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

$140 - $190/hr

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) able to own the full model ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) able to own the full model ...

Jobtailor

Full Stack AI Engineer

Plano, TX · On-site

$120 - $165/hr

Responsibilities * The Full Stack AI Engineer is a hybrid technical and client-facing role ... A foundation in software engineering, with exposure to machine learning or solutions engineering ...

New

Yum

Machine Learning Engineer II

Plano, TX · On-site

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... This means seeing the value in everyone and unlocking their full potential to be their best self.

Sarian, Inc.

Java Full stack Developer

Plano, TX · On-site

$50.25 - $64.75/hr

Machine Learning ( Llama, Python etc). * Experience: Minimum 7 years. * This is a Full stack Software Development Engineer role. The Team builds next generation AI and Search platforms for the bank ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning models and algorithms that will improve Confie's business outcome/customer experience Perform data cleansing, analysis, and feature engineering using Python Ability to work with ...

Yum Brands

Machine Learning Engineer II

Plano, TX

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... This means seeing the value in everyone and unlocking their full potential to be their best self.

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 ... This means seeing the value in everyone and unlocking their full potential to be their best self.

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All JobsFull Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs in Bedford, TX

Executive Full Stack Machine Learning Engineer information

See Bedford, TX salary details

$39.4K

$119.5K

$168.9K

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

As of Aug 21, 2026, the average yearly pay for executive full stack machine learning engineer in Bedford, TX is $119,467.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $140,100.00 per year, depending on experience, location, and employer.

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

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Bedford, TX look for?

The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Bedford, TX are:

What cities near Bedford, TX are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities near Bedford, TX with the most Executive Full Stack Machine Learning Engineer job openings:

Executive Full Stack Machine Learning Engineer jobs near you

Sr. Full Stack Engineer

Redolent, Inc.

Irving, TX • On-site

Contractor

Re-posted 18 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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