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Remote Machine Learning Jobs in Texas (NOW HIRING)

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Remote US Anticipated Start Date: 06/01/2026 The US base salary range for this full-time position ... Lead the development and deployment of advanced machine learning models to forecast outcomes and ...

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... This role will own the Machine Learning models that drive our business from development to ...

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Develop and deploy machine learning and generative AI solutions that support enterprise use cases.

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

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

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Develop machine learning and generative AI models that ship as customer-facing product features

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

Principal Data Sciences

Dallas, 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 ...

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 ...

Principal Data Sciences

Houston, 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 ...

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Remote Machine Learning information

See Texas salary details

$23.8K

$39.7K

$82K

How much do remote machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for remote machine learning in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 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 Texas? The most popular types of Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Machine Learning jobs? Cities in Texas with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Texas as of May 2026, with employment types broken down into 2% Internship, 2% As Needed, 38% Full Time, 54% Part Time, 2% Temporary, and 2% Contract. Highlights an 73% Physical, and 27% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.
Sr/Staff Data Scientist (Remote - US)

Sr/Staff Data Scientist (Remote - US)

BNSF Railway

On-site, Remote

$165K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago


BNSF Railway rating

7.0

Company rating: 7.0 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

198th of 336 rated logistics


Job description

be part of a team that values safety, inclusion, and excellencewe are one of the largest U.S. railroads transporting the nation's freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world.
bnsf | tech: innovating and transforming the future of freight railbnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america.are you ready to drive change?if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter.we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us!learn more about BNSF and our BenefitsJob Location: Remote USAnticipated Start Date: 06/01/2026
The US base salary range for this full-time position is provided below:
Salary Range: $165,000-$300,000
L5: $165,000 - $220,00
L6: $225,000 - $300,000
The range represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package.
This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States
Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF
This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility.
Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date.
data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise.
Key responsibilities may include:
Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models.
Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems.
Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows.
Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making.
Design and present compelling visualizations and reports to effectively communicate analytical findings.
Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision.
Keep abreast of emerging trends and breakthroughs in data science and machine learning fields.
Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development.
Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring.
The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position's duties.
At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment.
Basic Qualifications
  • Minimum 6 years of experience with building optimization algorithms or relevant experience.
  • Advanced proficiency in programming languages such as Python, R, SQL, and Java.
  • Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively.
  • In-depth experience with data science cloud platforms and their integration into business solutions.
  • Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment.
  • Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies.
  • Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism.
  • Deep understanding and application of statistical analysis and advanced machine learning techniques.
  • Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms)
  • Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies.
  • Experience with Vector Databases and embeddings.
  • Experience with Model Fine-tuning.
  • Experience with GPU optimization.

Preferred Qualifications
  • Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus.
  • Knowledge of geospatial analytics, route optimization, and GIS concepts.
  • Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions.
  • Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector.
  • Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives.
  • Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level.

At BNSF, you will have access to a comprehensive and competitive benefits package including:
  • An industry-leading 401(k) and renowned Railroad Retirement program.
  • A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options.
  • Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost.
  • Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match).
  • Access to discounts on travel, gym memberships, counseling services and wellness support.
  • Annual bonus (Incentive Compensation Program)
  • Generous leave / time off policies.
  • For more information, visit Benefits.

Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness.
All positions require pre-employment background verification.
BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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