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Remote Machine Learning Engineer Jobs in Prosper, TX

Vytwo

Senior Data Engineer - Remote

Prosper, TX · Remote

$55 - $60/hr

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary ... Experience supporting machine learning workflows or analytical data science pipelines * Knowledge ...

Waabi

Senior / Staff Perception Engineer

Dallas, TX · On-site +1

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies, and apply insights from the ... Python programming with a focus on writing high-quality, well-structured, and tested code ...

HedgeServ

Senior ITSMA Observability Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Paradigm

Senior Applied ML Engineer

Irving, TX · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

Vytwo

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local ... Experience supporting machine learning workflows or analytical data science pipelines * Knowledge ...

Addison Group

Sr. Software Engineer

Irving, TX · Remote

$170K - $220K/yr

Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ... AI or machine learning applications related to infrastructure Candidates should have a stable work ...

Motorola

Senior DevOps Engineer (US REMOTE)

Allen, TX · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

DomainTools

Senior Software Engineer

Dallas, TX · Remote

$125K - $165K/yr

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Prosper, TX

Remote Machine Learning Engineer information

See Prosper, TX salary details

$28.8K

$117.9K

$177.2K

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

As of Aug 6, 2026, the average yearly pay for remote machine learning engineer in Prosper, TX is $117,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $141,900.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Prosper, TX? The most popular types of Machine Learning Engineer jobs in Prosper, TX are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Prosper, TX? For Remote Machine Learning Engineer jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Prosper, TX look for? The top searched job categories for Remote Machine Learning Engineer jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Remote Machine Learning Engineer jobs? Cities near Prosper, TX with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $117,925 per year, or $56.7 per hour.

Senior Data Engineer - Remote

Vytwo

Prosper, TX • Remote

$55 - $60/hr

Full-time

Re-posted 3 days ago

Job description

Role: Senior Data Engineer
Remote Work
*Must be a US Citizen* & have a USA Passport
Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

  • 7+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment
  • Must be a US Citizen
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

This is a remote position.