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Flexible Remote Machine Learning Engineer Jobs in Houston, TX

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Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Pearland, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Senior Software Engineer - Remote

Texas City, TX · Remote

$104K - $138K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

New

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also ... Proven ability to be flexible, work hard, and a sense for the art of the possible * Methodical ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also ... Proven ability to be flexible, work hard, and a sense for the art of the possible * Methodical ...

Senior AI Engineer

Houston, TX · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Flexible Paid Time Off policy & generous Holidays * Remote-first with Industrious co-working access ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Flexible Paid Time Off policy & generous Holidays * Remote-first with Industrious co-working access ...

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Flexible Paid Time Off policy & generous Holidays * Remote-first with Industrious co-working access ...

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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 Jul 27, 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, and why are they important?

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 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:
Infographic showing various Flexible Remote Machine Learning Engineer job openings in Houston, TX as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $122,971 per year, or $59.1 per hour.
Machine Learning Guru (Autonomous Navigation)**

Machine Learning Guru (Autonomous Navigation)**

Talentry, LLC

Houston, TX • Remote

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

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Job description

Senior/Principal Machine Learning Engineer

200-300k

Remote position possible

Description

  • Develop solutions for autonomous driving, from experimentation to full commercialization.
  • Explore new ideas using deep learning, neural networks, and large foundation models.
  • Work on object detection, tracking, prediction, planning, control, online mapping, and more.
  • Manage the full life cycle of machine learning projects, including data analysis and model verification.
  • Collaborate with product, simulation, and algorithm teams to integrate machine learning technologies.

Qualifications

  • Advanced degree (Ph.D. or Master’s) in computer science, computer engineering, mathematics, physics, or related field.
  • In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques.
  • Knowledge of generative models, model distillation, or model inference acceleration.
  • Familiarity with PyTorch, TensorFlow, and other machine learning platforms.
  • Ability to work independently in a fast-paced environment and collaborate on complex projects.
  • A track record of research publications in top conferences/journals is preferred.

Benefits

  • Work on cutting-edge autonomous navigation technology.
  • Opportunity to contribute to world-first innovations.
  • Vibrant and fast-paced work environment.
  • Exposure to cross-team projects and collaboration.
  • Chance to transform dreams into reality in the future of transportation.
  • Excellent salary and benefits – chance to get in on the ground floor!

** To apply, please answer all screening questions completely. Incomplete questionnaires will result in automatic rejection. **