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Remote Machine Learning Jobs in Prosper, TX (NOW HIRING)

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

Trilogy

Senior Software Engineer

Irving, TX · On-site +1

$117.60K - $155.10K/yr

Hybrid -- Trilogy NextGen office (3 days on-site / 2 days remote) Employment: Full-Time -- Direct ... MACHINE LEARNING & AI • Hands-on experience with ML libraries: scikit-learn, XGBoost, LightGBM ...

Vytwo

Senior Data Engineer Remote

Prosper, TX · Remote

$55 - $60/hr

Experience supporting machine learning workflows or analytical data science pipelines * Knowledge of distributed computing concepts and performance tuning This is a remote position.

Ethos Risk Services

IT AI Solution Architect

Irving, TX · Remote

$58 - $76.50/hr

Design and implement scalable AI and machine learning solutions using AWS (including Amazon Bedrock ... This is a primarily remote position working in a home office environment, with a preference for ...

PNC Bank

Fraud Model Analyst

Farmers Branch, TX · On-site +1

$45K - $103.50K/yr

... remote work in select geographic locations, subject to approval by PNC. If approved, work must be ... machine learning to predict business outcomes. * Assists with analytical experiments in a ...

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Remote Machine Learning information

See Prosper, TX salary details

$23.4K

$39K

$80.6K

How much do remote machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for remote machine learning in Prosper, TX is $38,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,800.00 and $42,100.00 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.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Prosper, TX? The most popular types of Machine Learning jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Remote Machine Learning jobs? Cities near Prosper, TX with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Prosper, TX as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 50% Full Time, 44% Part Time, 1% Temporary, and 3% Contract. Highlights an 73% Physical, and 27% Remote job distribution, with an average salary of $38,997 per year, or $18.7 per hour.
Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)

Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)

Turnitin

Dallas, TX • On-site, Remote

$84.23K - $140.38K/yr

Full-time

Medical, PTO

Posted 12 days ago

Job description

Company Description

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are.

Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.

Job Description

The purpose of this role is to bridge the gap between complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders.

We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact.

Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem.

Key Responsibilities and Outputs

  • Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth.
  • Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse.
  • Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact.
  • AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring.
  • RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau.

Proven Characteristics for Success

  • The "Technical Translator": You can explain a join or a latent variable to a Sales Director in a way that makes sense for their quota.
  • Impact-Focused: You don't just deliver data; you deliver the "so what?"
  • AI Enthusiast: You stay up to date with the latest in LLMs and are constantly thinking about how to apply generative AI to analytics workflows.
  • Curiosity & Ownership: You lead with questions and take pride in the "cleanliness" and architecture of your code.
Qualifications

Essential

  • Experience: 2-3+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role.
  • dbt Expertise: Proven experience building and maintaining production-grade data models using dbt.
  • Orchestration Tools: Hands-on experience with Dagster or Airflow.
  • SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery).
  • BI Visualization: Experience building stakeholder-facing dashboards in Tableau.
  • CRM Knowledge: Familiarity with Salesforce data structures.

Preferred

  • Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt).
  • AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker).
  • Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server.
  • Data Modeling: Salesforce-specific data modeling experience.
  • Big Data: Experience dealing with large (+1M rows) customer engagement datasets.
Additional Information

The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based.

Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.

Total Rewards @ Turnitin
At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they're only part of the value you receive in exchange for your work.

Beyond compensation, you'll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You'll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates.

In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life's challenges. You'll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being.

Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.

Our Values underpin everything we do.

  • Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do.
  • Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe.
  • Integrity: Integrity is the heartbeat of Turnitin-it is the core of our products, the way we treat each other, and how we work with our customers and vendors.
  • Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it's hard.
  • One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes.
  • Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world.

Global Benefits

  • Remote First Culture
  • Health Care Coverage
  • Education Reimbursement*Competitive Paid Time Off 
  • Self-Care Days
  • National Holidays
  • 2 Founder Days + Juneteenth Observed
  • Paid Volunteer Time Off
  • Charitable Contribution Match
  • Monthly Wellness or Home Office Reimbursement
  • Access to Employee Assistance Program (mental health platform)
  • Parental Leave
  • Retirement Plan with match/contribution

Seeing Beyond the Job Ad
At Turnitin, we recognize it's unrealistic for candidates to fulfill 100% of the criteria in a job ad.  We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you're willing to learn and unleash your potential alongside us, join our team!

Turnitin, LLC is an Equal Opportunity Employer- vets/disabled. 

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