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Remote Machine Learning Jobs in Pflugerville, TX

Principal Data Sciences

Austin, TX · On-site +1

$124K - $177.10K/yr

... machine learning and AI solutions using python * Experience with data cleansing, validation, and general quality control principals What you should expect in this role * Fully Remote Opportunity - Wo ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

REMOTE - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TEXAS WILL BE CONSIDERED*** No calls, no ... Develop and operationalize scalable architectures for collaborative notebooks, machine learning ...

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Innovations and AI Solutions Engineer

Austin, TX · On-site +1

$116.88K - $158.13K/yr

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Team Lead, Customer Support

Austin, TX · On-site +1

$100K - $120K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... The position is fully remote and the working hours are 12:00 PM - 8:00 PM PST. A day in the life ...

Remote (US) Reports to: Sr. Director, Global Agentic AI --- About SailPoint SailPoint is the ... By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ...

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Remote Machine Learning information

See Pflugerville, TX salary details

$24K

$40.1K

$82.8K

How much do remote machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for remote machine learning in Pflugerville, TX is $40,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,300.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Pflugerville, TX? The most popular types of Machine Learning jobs in Pflugerville, TX are:
What cities near Pflugerville, TX are hiring for Remote Machine Learning jobs? Cities near Pflugerville, TX with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Pflugerville, TX as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 51% Full Time, 43% Part Time, 1% Temporary, and 3% Contract. Highlights an 75% Physical, and 25% Remote job distribution, with an average salary of $40,056 per year, or $19.3 per hour.
Principal Data Sciences

Principal Data Sciences

Gainwell Technologies LLC

Austin, TX • On-site, Remote

$124K - $177.10K/yr

Other

Medical, Life, Retirement, PTO

Posted 2 days ago


Gainwell Technologies rating

7.7

Company rating: 7.7 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

104th of 183 rated software companies


Job description

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.
Summary
As a(n) Principal Data Sciences at Gainwell, you can contribute your skills as we harness the power of technologies to help improve the health and well-being of the members they serve - the communities most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare's biggest challenges. Here are the details on this position.
Your role in our mission
  • Designs, develops, programs methods, processes and systems to consolidate and analyze unstructured, diverse big data sources using machine learning and predictive modeling tools.
  • Builds analytic models to identify and quantify solutions to business problems. Interprets and communicates insights and findings from analysis and experiments to client, service, and business managers. Determines probable future outcomes and recommends and delivers new business process improvements.
  • Provides leadership and work guidance to less experienced personnel towards build of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
  • Determines the right modeling methodology to the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights
  • Champions global initiatives in data sciences- like building new centers of excellence ( by domain or technology); acts as leading subject matter expert providing guidance and long term vision
  • Influences a client's strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems

What we're looking for
  • 6+ years of relevant experience in statistics and machine learning
  • Extensive knowledge of data science methodologies including but not limited to supervised machine learning, unsupervised machine learning, and generative AI applications
  • Experience with writing SQL to query multi-dimensional and/or relational databases
  • Experience in developing machine learning and AI solutions using python
  • Experience with data cleansing, validation, and general quality control principals

What you should expect in this role
  • Fully Remote Opportunity - Work from anywhere in the U.S.
  • Minimal Travel Required - Occasional travel opportunities (0-10%).
  • Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
  • Video cameras must be used during all interviews, as well as during the initial week of orientation
  • The deadline to submit applications for this posting is June 15, 2026.

The pay range for this position is $124,000.00 - $177,100.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits , and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.
We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.
Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

What Gainwell Technologies employees say

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Hours and flexibility

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About Gainwell Technologies

Sourced by ZipRecruiter

With Health and Cost outcomes that pierce Inequities and Impact Economies, the success of our Nation’s Federal Medicaid program is inextricably tied to the Prosperity of Communities, States and the Nation as a whole. We think that deserves Respect and a Commitment from Innovators who can help those who operate within and around health and human services evolve to meet their goals. At Gainwell, that’s our Sole focus. Built across more than Five Decades, Gainwell has intentionally seized opportunities to advance its digitally enabled services to meet Agencies, Health plans and MCOs where they are on their modernization journeys and propel them into the future of Healthcare. Equally important to our Expanding Technologies and Results. We bring ideas that bring policies to life.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Irving, TX, US