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Machine Learning Engineer Hybrid Jobs in Irving, TX

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Machine Learning Engineer

Frisco, TX · On-site

$150 - $200/hr

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Architect Retrieval‑Augmented Generation ( RAG ) systems, including vector store design, hybrid ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Architect Retrieval-Augmented Generation ( RAG ) systems, including vector store design, hybrid ...

Yum! Brands

Machine Learning Engineer II

Plano, TX · On-site

Hybrid onsite requirement in either Plano, TX - Irvine, CA - Louisville, KY Company Overview: Yum ... As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ...

SuperMom's LLC

Machine Learning Engineer II

Irving, TX · On-site

$150 - $200/hr

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

7-Eleven

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Plano, TX

$98K - $130K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

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All JobsMachine Learning Engineer Hybrid JobsMachine Learning Engineer Hybrid Jobs in Irving, TX

Machine Learning Engineer Hybrid information

See Irving, TX salary details

$30.2K

$123.7K

$185.8K

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

As of Sep 9, 2026, the average yearly pay for machine learning engineer hybrid in Irving, TX is $123,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $148,800.00 per year, depending on experience, location, and employer.

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

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

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Machine Learning Engineer Hybrid jobs near you

Machine Learning Engineer

Plano, TX • On-site

Smart Info Solutions llc
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Job description

Job Title: Machine Learning Engineer
Location: Plano, TX – Onsite/Hybrid
Job Type: Contract
Work Authorization: STRICTLY ON W2

Job Summary

We are looking for a Machine Learning Engineer with a strong engineering and model-development mindset. The ideal candidate will have hands-on experience with Python, machine learning model development, deployment, troubleshooting, and production support across Windows and Linux environments.

This is not primarily a DevOps or SRE position. We are looking for someone who understands the engineering side of machine learning, including model development and lifecycle, while also being comfortable supporting ML applications in production.

Key Responsibilities

  • Develop, maintain, deploy, and troubleshoot machine learning applications and models.

  • Work closely with Data Scientists and ML Engineers to take models from development through production.

  • Develop and maintain Python-based ML applications and services.

  • Support ML applications running on Windows and Linux environments.

  • Manage and troubleshoot Kubernetes clusters and Docker containers supporting ML workloads.

  • Deploy and manage machine learning models throughout their lifecycle.

  • Debug complex production issues using Python, logs, monitoring, and troubleshooting tools.

  • Implement monitoring and alerting using Datadog to ensure application and model health.

  • Automate repetitive engineering and operational tasks using Python and other scripting technologies.

  • Work with CI/CD pipelines to support reliable ML application and model deployments.

  • Collaborate with engineering, data science, and infrastructure teams.

  • Ensure ML applications meet requirements for performance, security, scalability, and availability.

  • Document architecture, deployment processes, model workflows, and troubleshooting procedures.

Required Skills

  • Strong hands-on Python programming experience.

  • Strong understanding of Machine Learning concepts and workflows.

  • Experience with ML model development and/or model engineering.

  • Hands-on experience with ML model deployment and lifecycle management.

  • Experience supporting applications in both Windows and Linux environments.

  • Experience with on-premises servers and production environments.

  • Hands-on experience with Kubernetes and Docker.

  • Experience troubleshooting distributed applications and production issues.

  • Experience with Datadog or similar monitoring/observability tools.

  • Experience with CI/CD pipelines for ML applications.

  • Familiarity with AWS cloud services.

  • Understanding of DevOps/SRE practices as they relate to supporting ML applications.

  • Strong problem-solving and debugging skills.

  • Excellent communication and collaboration skills.

Ideal Candidate Profile

We are specifically looking for an engineering-oriented Machine Learning Engineer who can understand and contribute to model development, not just infrastructure or operations.

Strong candidates will have:

  • Machine Learning + Python development experience

  • ML model development/deployment experience

  • Production application troubleshooting experience

  • Kubernetes/Docker experience

  • Windows/Linux administration experience

  • Experience working closely with Data Scientists

The candidate should be stronger on ML engineering and application/model development than pure infrastructure or operations.

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