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Remote Senior Machine Learning Engineer Jobs in Plano, TX

Sr. Machine Learning Engineer

Dallas, TX ยท On-site +1

$103K - $142K/yr

JOB TITLE: Sr. Machine Learning Engineer LOCATION: Coppell, TX (Hybrid role, may work from home) DUTIES: Design, develop, and deploy high-quality, scalable, and maintainable software systems ...

Machine Learning Engineer

Addison, TX ยท On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

... ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems * Bachelor's degree in Computer Science, Machine Learning, Data Science, or a ...

Senior ML Ops Engineer

Irving, TX ยท Remote

$123K - $170K/yr

We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are ... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Machine Learning Tutor

Carrollton, TX ยท 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 ...

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Showing results 1-20

Remote Senior Machine Learning Engineer information

See Plano, TX salary details

$72.3K

$137.1K

$183.8K

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

As of Aug 4, 2026, the average yearly pay for remote senior machine learning engineer in Plano, TX is $137,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $154,600.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Plano, TX? For Remote Senior Machine Learning Engineer jobs in Plano, TX, the most frequently searched job titles are:
What cities near Plano, TX are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Plano, TX with the most Remote Senior Machine Learning Engineer job openings:

Sr. Machine Learning Engineer

JDA

Dallas, TX โ€ข On-site, Remote

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

JOB TITLE: Sr. Machine Learning Engineer

LOCATION: Coppell, TX (Hybrid role, may work from home)

DUTIES: Design, develop, and deploy high-quality, scalable, and maintainable software systems leveraging AI models (e.g., Large Language Models, Diffusion Models, Forecasting Models etc.). Identify and explore novel applications of AI within our products and services. Conduct research and experimentation with new and emerging AI tech and staying up to date. Build and operate innovative forecasting solutions . Continuously learn and adapt to the rapidly evolving field of Generative AI. Conduct thorough research and experimentation with the latest advancements in Generative AI, including model architectures, training techniques, and evaluation methods. Write clean, well-documented, and testable code, adhering to best practices and engineering principles. Actively participate in code reviews and provide constructive feedback to fellow engineers. Mentor junior engineers and foster a culture of learning and growth within the team. Collaborate effectively with cross-functional teams, including researchers, product managers, and designers. Contribute to the definition of technical roadmaps and architectural decisions. Identify and mitigate technical risks and propose solutions to complex engineering challenges. Lead and mentor junior engineers, fostering a culture of learning and growth within the team. Actively participate in knowledge sharing and contribute to the broader AI community.

REQUIREMENTS: Bachelor's or foreign equivalent degree in Computer Science, Electronic Engineering, Information Technology and Communications Engineering, or a related field, and 5 years of progressive, post-baccalaureate experience in the job offered or as a Software Engineer, AI Engineer, Data Scientist, Machine Learning Engineer, or a related/similar position. Experience therein to include the following:

  • 5 years in designing and deploying enterprise-level machine learning systems;
  • 5 years in Python;
  • 3 years with deep learning frameworks such as TensorFlow, PyTorch, or JAX;
  • 3 years in applying machine learning algorithms in areas such as Natural Language Processing (NLP) or Forecasting;
  • 2 yearsin building and deploying machine learning models using web frameworks like FastAPI or Django; and
  • 1 year in leveraging Generative AI, including Large Language Models (LLMs), for various automation and agentic use cases.

Hybrid role, ability to work from home

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The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.

At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes:

  • Comprehensive Medical, Dental and Vision

  • 401K with Matching

  • Flexible Time Off

  • Corporate Fitness Program

  • A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more

At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience.

Our Values


If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.