ZipRecruiter

Log In

2

Remote Machine Learning Engineer Biotech Jobs in Dallas, TX

Clevanoo LLC

Be Seen First

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 ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

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 ...

New

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Aetna Resources, LLC., a CVS Health company, is hiring for the following role in Irving, TX: Machine Learning Engineer to build, deploy, and monitor artificial intelligence (AI)/machine learning (ML ...

New

CVS Health

Staff Machine Learning Engineer

Richardson, TX · On-site +1

$288K/yr

Caremark LLC., a CVS Health company, is hiring for the following role in Richardson, TX: Staff Machine Learning Engineer to build, deploy, and monitor artificial intelligence (AI)/machine learning ...

New

Performacentric

ML Engineer

Dallas, TX · On-site +1

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About Performacentric Performacentric helps small and ...

next page

Showing results 1-20

All JobsRemote Machine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech Jobs in Dallas, TX

Remote Machine Learning Engineer Biotech information

See Dallas, TX salary details

$31.2K

$127.4K

$191.4K

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

As of Jun 23, 2026, the average yearly pay for remote machine learning engineer biotech in Dallas, TX is $127,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $153,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote machine learning engineers in the biotech industry, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What does a Remote Machine Learning Engineer do in the biotech industry?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.
What are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Dallas, TX? For Remote Machine Learning Engineer Biotech jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Dallas, TX look for? The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Machine Learning Engineer Biotech jobs? Cities near Dallas, TX with the most Remote Machine Learning Engineer Biotech job openings:
Remote Machine Learning Engineer Biotech jobs near you

Machine Learning Engineer

Clevanoo LLC

Dallas, TX • Remote

Contractor

This job post has expired 1 day ago. 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