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Machine Learning Engineer From Home Jobs in Texas

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

Python | AWS | Kubernetes | Docker | Terraform | Airflow | Spark | MLflow | Databricks | Kafka | CI/CD We're interested in people from backgrounds such as: ✔ Machine Learning Engineering ✔ MLOps ...

Our solution combines everything shippers need, from transportation management and visibility to ... Enjoy working remotely with the added perk of a home office reimbursement * Unlimited Paid Time Off ...

You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or ... This role is primarily performed in an office or home office setting and involves standard computer ...

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

Our team builds self-driving solutions from the ground up, with machine learning at the core of our ... About the role We are looking for an experienced Machine Learning Engineer with a strong background ...

... do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... From employee and family events to career-long support, we create a community you'll never want to ...

Our team builds self-driving solutions from the ground up, with machine learning at the core of our ... About the role We are looking for an experienced Machine Learning Engineer with a strong background ...

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Develop vision-language models and Mixture of Experts architectures, from experimental design ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ... Notice As permitted by applicable law and from time-to-time, Confie may use a computer system that ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Applicants in California or Washington State may not be exempt from federal and state overtime ...

... do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Applicants in California or Washington State may not be exempt from federal and state overtime ...

... do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

... do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a ... We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer.

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

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Machine Learning Engineer From Home information

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

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

What are the most commonly searched types of Machine Learning Engineer jobs in Texas? The most popular types of Machine Learning Engineer jobs in Texas are:
What job categories do people searching Machine Learning Engineer From Home jobs in Texas look for? The top searched job categories for Machine Learning Engineer From Home jobs in Texas are:
What cities in Texas are hiring for Machine Learning Engineer From Home jobs? Cities in Texas with the most Machine Learning Engineer From Home job openings:

Machine Learning Engineer

X4 Engineering

Austin, TX • On-site

$140K - $180K/yr

Other

Posted 25 days ago


Job description

🚀 Machine Learning Engineer

📍 Austin, TX (Hybrid/Remote Considered)

💰 $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:

✔ Machine Learning Engineering

✔ MLOps Engineering

✔ Platform Engineering

✔ Software Engineering (with ML/Data exposure)

✔ Quant Development

✔ 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.