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

Clevanoo LLC

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Machine Learning Engineer

Dallas, TX · Remote

Remote (TX) DURATION: Contract POSITION SUMMARY: Client transforms chronic care management by ... Their expertise in machine learning frameworks and software engineering ensures that the predictive ...

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Machine Learning Engineer to Design, develop, and implement enterprise ML products and platforms for data ...

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CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Duties include: apply data modeling, machine learning, predictive modeling, and statistical analysis to extract and analyze information and build end-to-end solutions to meet organizational ...

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All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Irving, TX

Remote Machine Learning information

See Irving, TX salary details

$24.5K

$40.9K

$84.5K

How much do remote machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote machine learning in Irving, TX is $40,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,200.00 per year, depending on experience, location, and employer.

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 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.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

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.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

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 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 Irving, TX? The most popular types of Machine Learning jobs in Irving, TX are:
What are popular job titles related to Remote Machine Learning jobs in Irving, TX? For Remote Machine Learning jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Irving, TX look for? The top searched job categories for Remote Machine Learning jobs in Irving, TX are:
What cities near Irving, TX are hiring for Remote Machine Learning jobs? Cities near Irving, TX with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

Machine Learning Engineer

Clevanoo LLC

Dallas, TX • Remote

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

POSITION TITLE: AI/MLOps Engineer 
LOCATION: Remote (TX)
DURATION: Contract

POSITION SUMMARY: Client transforms chronic care management by combining equipment and products with comprehensive education, monitoring, and coaching to improve care outcomes and reduce acute episodes.
With this collaborative care approach, we are redefining patient care. We are seeking a passionate Azure AI/ML Ops engineer to create data platform and pipeline to enable advanced analytics.
AI/MLOPS Engineers are the crafters of automation, turning data-driven models into practical applications.
They take the prototypes developed by Data Scientists and fine-tune them for scalability, efficiency, and real-world deployment. Their expertise in machine learning frameworks and software engineering ensures that the predictive power of models seamlessly integrates into everyday operations.

POSITION REQUIREMENTS & COMPETENCIES:
Bachelor’s Degree, (BA/BS) in Information Systems from a four-year college or university and 5 or more years of development experience required or equivalent combination or education and experience
Travel up to 25%
Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps
Strong programming skills, preferably in languages like Python, Java, or Scala
Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn
Experience with containerization technologies, like Docker and Kubernetes
Familiarity with ML model deployment tools, such as MLflow or Kubeflow
Working experience in Azure cloud platform