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Machine Learning Engineer Hybrid Jobs in Texas (NOW HIRING)

Machine Learning Engineer

Austin, TX ยท On-site

$140K - $180K/yr

๐Ÿš€ Machine Learning Engineer ๐Ÿ“ Austin, TX (Hybrid/Remote Considered) ๐Ÿ’ฐ $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ... Hybrid opportunity located in Austin, TX * Applicants must be authorized to work in the U.S ...

Machine Learning Engineer

Addison, TX ยท On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Hybrid Work Opportunities * Flexible Time Off * Career Development & Mentoring Programs * Health ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Hybrid Work Opportunities * Flexible Time Off * Career Development & Mentoring Programs * Health ...

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 ...

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative ...

They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning solutions for autonomous systems, focusing on model optimization and data management. Responsibilities ...

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 ...

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 ...

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

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Machine Learning Engineer Hybrid information

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.

What cities in Texas are hiring for Machine Learning Engineer Hybrid jobs? Cities in Texas with the most Machine Learning Engineer Hybrid job openings:

Machine Learning Engineer

X4 Engineering

Austin, TX โ€ข On-site

$140K - $180K/yr

Other

Posted 8 days ago


Job description

๐Ÿš€ Machine Learning Engineer

๐Ÿ“ Austin, TX (Hybrid/Remote Considered)

๐Ÿ’ฐ $140,000 - $180,000 Base


We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to join a highly technical platform engineering team supporting traders, analysts, and quantitative researchers.


This is not a pure data science role. We're looking for an engineer who enjoys building robust production systems, scaling data and ML infrastructure, and working closely with front-office stakeholders to deliver real business impact.


What you'll be doing:

  • Building and maintaining ML and data platforms used for forecasting, optimization, and trading workflows
  • Designing scalable cloud-native infrastructure and deployment pipelines
  • Productionizing quantitative models and analytics tools
  • Developing distributed data and compute systems
  • Working directly with traders and business users to deliver reliable solutions
  • Driving engineering best practices across CI/CD, observability, testing, and automation


Tech stack includes:

Python | AWS | Kubernetes | Docker | Terraform | Airflow | Spark | MLflow | Databricks | Kafka | CI/CD

We're interested in people from backgrounds such as:

โœ” Machine Learning Engineering

โœ” MLOps Engineering

โœ” Platform Engineering

โœ” Software Engineering (with ML/Data exposure)

โœ” Quant Development

โœ” Infrastructure Engineering


Ideal candidates will have strong Python skills, cloud and DevOps experience, and a track record of building production systems. Experience within energy, trading, forecasting, or quantitative environments is beneficial but not essential.


If you'd like to learn more, please send me a message or apply directly.


They prefer the role to be worked on a hybrid model of 1-2 days a week. Salary offered is $140,000-$180,000.