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Remote Python Machine Learning Jobs in Houston, TX

AgileEngine

Senior Data Engineer ID75059

Texas City, TX · On-site +1

$90K - $123K/yr

You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ... Work with AI development tools to support and accelerate ongoing development, machine learning ...

micro1 AI

Domain Expert - (STEM PhD)

Houston, TX · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Houston, TX · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Munich Re

Data Scientist, AI

Houston, TX · On-site +1

... Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and machine learning models to address business challenges.

Varsity Tutors

Linear Algebra Tutor

Missouri City, TX · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Varsity Tutors

Business Analytics Tutor

Pearland, TX · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ...

Varsity Tutors

Linear Algebra Tutor

Pearland, TX · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Varsity Tutors

Statistics Graduate Level Tutor

Houston, TX · Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... Adapts instruction using R or Python statistical computing, research paper examples, and proof ...

Varsity Tutors

Business Analytics Tutor

Sugar Land, TX · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ...

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

As of Jul 9, 2026, the average hourly pay for remote python machine learning in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

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 are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

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 some typical daily tasks for a Remote Python Machine Learning professional?

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 popular job titles related to Remote Python Machine Learning jobs in Houston, TX? For Remote Python Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in Houston, TX look for? The top searched job categories for Remote Python Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Python Machine Learning jobs? Cities near Houston, TX with the most Remote Python Machine Learning job openings:
Remote Python Machine Learning jobs near you
Senior Data Engineer ID75059

Senior Data Engineer ID75059

AgileEngine

Texas City, TX • On-site, Remote

$90K - $123K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
  • Design and implement Python Data Engineering solutions;
  • Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
  • Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
  • Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
  • Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
  • Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
  • Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
  • Work with Terraform and other tools to build AWS and on-prem infrastructure.

MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
  • 5+ years of experience with Python;
  • 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
  • 2+ years of experience with Big Data technologies (Spark, Snowflake);
  • Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
  • Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
  • Proven ability to work with 3rd party APIs for complex data ingestion tasks;
  • Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
  • Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
  • Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
  • A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
  • Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
  • Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
  • Upper-intermediate English level.

NICE TO HAVES
  • Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
  • Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
  • OpenSearch, Elasticsearch;
  • AWS Sagemaker Studio, Jupyter for analyze data;
  • Terraform;
  • Scala.

PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.

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