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Remote Python Machine Learning Jobs in Spring, TX

Mental Health Expert - Remote

Houston, TX ยท Remote

$200 - $350/hr

... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

AI Software Engineer

Houston, TX ยท Remote

$115K - $145K/yr

Remote Level: 2-5 years of professional software development experience Base Salary Range: $115K ... About Arva Intelligence Arva is a machine learning software-based SaaS company with offices located ...

Data Scientist

Houston, TX ยท On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ...

Software Engineer in Data Science

Houston, TX ยท On-site +1

$109K - $131K/yr

Develop, test, maintain software tools and data pipelines for machine learning * Provide software engineering and design expertise and best practices (Python) with a focus on maintainability ...

SolidWorks Expert - Remote

Houston, TX ยท Remote

$40 - $130/hr

CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ... Python, iLogic, and VBA scripting. * Tolerance application. * Project documentation. * Strong ...

Solutions Engineer

Houston, TX ยท On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

Solutions Engineer

Houston, TX ยท On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

Solutions Engineer

Houston, TX ยท Remote

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

Programmer - AI Trainer

Houston, TX ยท On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Showing results 21-40

Remote Python Machine Learning information

See Spring, TX salary details

$11

$52

$76

How much do remote python machine learning jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote python machine learning in Spring, TX is $52.17, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $59.23 per hour, depending on experience, location, and employer.

What is a remote Python machine learning?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What does a remote Python machine learning professional do?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the key skills and qualifications needed to thrive in remote Python machine learning?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are popular job titles related to Remote Python Machine Learning jobs in Spring, TX?

For Remote Python Machine Learning jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Remote Python Machine Learning jobs in Spring, TX look for?

The top searched job categories for Remote Python Machine Learning jobs in Spring, TX are:

What cities near Spring, TX are hiring for Remote Python Machine Learning jobs?

Cities near Spring, TX with the most Remote Python Machine Learning job openings:

Infographic showing various Remote Python Machine Learning job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 31% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $108,507 per year, or $52.2 per hour.

Mental Health Expert - Remote

YO AI Labs

Houston, TX โ€ข Remote

$200 - $350/hr

Full-time

Posted 9 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.