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Flexible Remote Machine Learning Engineer Jobs in Houston, TX

McKesson

AI Product Engineer

The Woodlands, TX · Remote

This position is remote and candidates must reside within commuting distance of either The ... Experience building AI, machine learning, generative AI, intelligent workflows or LLM-powered ...

McKesson

AI Product Engineer

The Woodlands, TX · Remote

This position is remote and candidates must reside within commuting distance of either The ... Experience building AI, machine learning, generative AI, intelligent workflows or LLM-powered ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

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All JobsMachine Learning Engineer JobsFlexible Remote Machine Learning Engineer JobsFlexible Remote Machine Learning Engineer Jobs in Houston, TX

Flexible Remote Machine Learning Engineer information

See Houston, TX salary details

$30.1K

$123K

$184.8K

How much do flexible remote machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for flexible remote machine learning engineer in Houston, TX is $122,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

What is the difference between Flexible Remote Machine Learning Engineer vs Data Scientist?

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What are the key skills and qualifications needed to thrive as a flexible remote machine learning engineer?

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.
What are the most commonly searched types of Remote Machine Learning Engineer jobs in Houston, TX? The most popular types of Remote Machine Learning Engineer jobs in Houston, TX are:
What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Houston, TX? For Flexible Remote Machine Learning Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Houston, TX look for? The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Flexible Remote Machine Learning Engineer jobs? Cities near Houston, TX with the most Flexible Remote Machine Learning Engineer job openings:
Flexible Remote Machine Learning Engineer jobs near you
Infographic showing various Flexible Remote Machine Learning Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $122,971 per year, or $59.1 per hour.

Artificial Intelligence (AI) Engineer

GSI Environmental Inc.

Houston, TX • On-site, Remote

Full-time

Posted 20 days ago

Job description

Position Overview

GSI Environmental Inc. (GSI) seeks a highly innovative AI Engineer to join our growing team and help how artificial intelligence, automation, and modern business systems shape the way our firm operates. In this role, you will design and deliver AI-powered applications, automations, dashboards, and data-driven tools that boost productivity across every part of the organization.

You'll partner closely with both our technical project teams and corporate departments to find where emerging technology can simplify workflows, sharpen decision-making, and eliminate repetitive manual tasks. This role will provide a rare opportunity to build a function from the ground up, harnessing the power of AI to help solve complex environmental problems.  

About Us

We are a privately held, employee-owned company offering superior compensation, benefits, and professional development. GSI is highly respected nationally and internationally for the quality of its professional environmental services and the technically advanced projects it has completed over its 40 years of operation. GSI leadership promotes a collaborative, fun, and growth-oriented workplace, resulting in strong staff retention and high client satisfaction.  

GSI employs cross-disciplinary teams of environmental engineers and scientists focused on bringing innovative solutions to our clients’ toughest environmental challenges pertaining to water resources, air quality, land restoration, sustainability, renewable energy, ecological services, data science, toxicology, and energy and critical minerals production. Headquartered in Houston, Texas, GSI operates 13 offices across nine states, Texas, California, Colorado, Washington, Montana, Georgia, North Carolina, Virginia, and New York, with additional remote staff located throughout the United States. Our talented staff of environmental professionals performs projects nationwide and internationally.  

Key Responsibilities

AI & Application Development

  • Design, develop, and deploy AI-powered applications, assistants, and workflows that solve real business and environmental problems.
  • Develop custom internal software, portals, and applications that improve operational efficiency.
  • Evaluate new AI platforms, large language models (LLMs), and automation technologies, and rapidly prototype high-value use cases.

Data, Analytics & Integration

  • Build dashboards and business intelligence tools that deliver actionable insight to leadership and project teams.
  • Integrate business and technical systems through APIs, databases, and cloud services.
  • Support data management, reporting, and analytics initiatives—including work with scientific, financial, and regulatory data.

Automation & Enablement

  • Create automated workflows that reduce manual effort and streamline business processes.
  • Train and support employees in adopting new AI tools, and champion a culture of practical, responsible AI use.

Governance & Strategy

  • Develop AI governance standards and best practices that ensure secure, ethical, and responsible use of emerging technologies—particularly important given GSI's confidential client, litigation, and government project data.
  • Partner with IT and leadership to establish a long-term technology and innovation roadmap.
Location

This position is preferably based at or near one of GSI's offices, with our Houston headquarters as the ideal location. Hybrid or remote arrangements will be considered for exceptionally qualified candidates.

Qualifications/Experience
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related field.
  • Ability to develop software applications, automation tools, business intelligence solutions, or AI-enabled technologies.
  • Hands-on experience with Generative AI, LLMs, AI agents, or machine learning technologies.
  • Strong programming skills in Python, SQL, JavaScript, C#, or similar languages.
  • Experience building dashboards and analytics with Power BI, Tableau, or comparable platforms.
  • Experience integrating systems via APIs, databases, and cloud technologies.
  • Strong grasp of data architecture, security, governance, and software development best practices.
  • Proven ability to translate complex business problems into practical technology solutions.
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
  • Experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI) or similar low-code tools—GSI is a Microsoft 365 environment.
  • Experience building LLM/RAG applications, document automation, or AI assistants for knowledge work.
  • A passion for continuous learning and staying current with rapidly evolving AI technologies.
  • A passion for the environment is a strong plus! 

Apply