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Ml Infrastructure Engineer Jobs in Spring, TX (NOW HIRING)

Catalyst Labs

ML Engineer

Houston, TX · On-site

... the ML infrastructure and processes for scalability and performance. Qualifications : Required ... ML engineering. • Strong programming skills in Python (TypeScript experience is a plus). • ...

Deloitte

Azure/Databricks Infrastructure Engineer

Houston, TX · On-site

$53.25 - $71.25/hr

Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks ...

Jobtailor

AI/ML Platform Engineer

Spring, TX · On-site

$147.05 - $230.85/hr

AI/ML Platform Engineer We are a dynamic centralized platform team dedicated to harnessing ... Cloud infrastructure & troubleshooting (weekly): writing and maintaining Terraform; provisioning ...

Oxy

Advisor IT Systems - AI/ML Ops

Houston, TX · On-site

... ML models for upstream use cases (e.g., production optimization, subsurface modeling, drilling ... infrastructure. Qualifications : Required : • 5+ years of experience in data engineering ...

Oxy

Advisor IT Systems - AI/ML Ops

Houston, TX · On-site

Operationalize ML models for upstream use cases (e.g., production optimization, subsurface modeling ... infrastructure. Required Qualifications * 5+ years of experience in data engineering, software ...

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Guide architecture, infrastructure, and tools for AI/ML products. * Develop rapid prototypes and ...

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Showing results 1-20

All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Spring, TX

Ml Infrastructure Engineer information

See Spring, TX salary details

$41.4K

$113.1K

$162K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ml infrastructure engineer in Spring, TX is $113,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Spring, TX?

For Ml Infrastructure Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure Engineer jobs in Spring, TX look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ml Infrastructure Engineer jobs?

Cities near Spring, TX with the most Ml Infrastructure Engineer job openings:

Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Spring, TX as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,075 per year, or $54.4 per hour.

ML Engineer

Catalyst Labs

Houston, TX • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation in AI applications.
Responsibilities:
• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
• Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
• Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
• Build agents capable of operating natively on real-world audio inputs.
• Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
• Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
• Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
• Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure (preferably AWS).
• Strong understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills with the ability to engage directly with customers and stakeholders.
• Proven experience building and deploying ML models into production environments.
• Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
• Experience with audio-focused ML projects or similar domains involving unstructured data.
• Proficiency in building scalable data pipelines for model training and evaluation.
• Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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