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Remote Senior Machine Learning Engineer Jobs in Dallas, 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

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... machine learning, computer vision, and self-driving technologies, and apply insights from the ...

Vogo

Data Scientist

Dallas, TX · On-site +1

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... Collaborate with engineering teams to deploy machine learning models into production, ensuring they ...

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 ...

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 ...

Saviance

Senior Data Engineer

Dallas, TX · Remote

$105K - $143K/yr

Remote Duration: 6 Months Contract to Hire (Quarterly Onsite for a few days in Dallas TX) About ... We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis ...

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 ...

Tiger Analytics Inc.

ML Ops Architect

Dallas, TX · On-site +1

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely ...

Tiger Analytics Inc.

ML Ops Architect

Dallas, TX · Remote

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ...

Sradha Technologies LLC

Senior ML Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

Basically we need an senior Architect/Lead-level AI/ML resource with strong expertise in Applied ... Required Skills Strong expertise in Machine Learning and Applied NLP, especially in: Text ...

Paradigm

Senior Applied AI Engineer

Irving, TX · Remote

$127K - $187K/yr

The Senior Applied AI Engineer will design, deploy, and optimize AI systems that power next ... In this role, you'll build the bridge between machine learning models and real-world applications ...

Crowe LLP

Senior AI Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

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All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Dallas, TX

Remote Senior Machine Learning Engineer information

See Dallas, TX salary details

$74.7K

$141.7K

$189.9K

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

As of Jun 13, 2026, the average yearly pay for remote senior machine learning engineer in Dallas, TX is $141,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $159,800.00 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 Dallas, TX? For Remote Senior Machine Learning Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in Dallas, TX look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Dallas, TX with the most Remote Senior Machine Learning Engineer job openings:
Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in Dallas, TX as of June 2026, with employment types broken down into 85% Full Time, 6% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $141,749 per year, or $68.1 per hour.

Senior Data Engineer Remote

Vytwo

Prosper, TX • Remote

$55 - $60/hr

Full-time

Posted 9 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
Youll 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.