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Machine Learning Biomedical Engineer Jobs in Utah

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Data Engineer

Lehi, UT · On-site

$90K - $120K/yr

ZimZee Recruiting is looking for a Data Engineer to join our medical device client in Lehi focused on building reliable data infrastructure and supporting machine learning workflows in production.

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

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AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Sr. Data Engineer

Draper, UT

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design, build, and operationalize machine learning pipelines for training, validation, deployment ...

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Senior ML Engineer

Lehi, UT

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Drive Smules AI-first engineering practices by embedding AI-assisted development, automation, machine learning/deep learning systems, and modern developer productivity tools into daily engineering ...

Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...

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Machine Learning Biomedical Engineer information

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

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

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.
What are popular job titles related to Machine Learning Biomedical Engineer jobs in Utah? For Machine Learning Biomedical Engineer jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Machine Learning Biomedical Engineer jobs? Cities in Utah with the most Machine Learning Biomedical Engineer job openings:
Data Engineer

Data Engineer

ZimZee Recruiting

Lehi, UT • On-site

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

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Job description

ZimZee Recruiting is looking for a Data Engineer to join our medical device client in Lehi focused on building reliable data infrastructure and supporting machine learning workflows in production. This role is ideal for someone who enjoys solving complex technical challenges, building scalable systems, and taking ownership of projects from design through deployment. The right candidate is a practical engineer who writes clean code, improves existing systems, and collaborates effectively to deliver real business value.

Skills and Requirements

  • 2 - 4+ years of professional experience as a Data Engineer, Software Engineer, or similar technical role.
  • Strong Python programming skills with the ability to write clean, maintainable, and production-ready code.
  • Advanced understanding of mathematical principles with the ability to translate mathematical models into data transformation pipelines.
  • Experience designing, building, and optimizing batch and streaming data pipelines.
  • Strong SQL skills, including query optimization and data modeling.
  • Experience with workflow orchestration tools such as Airflow, Prefect, Dagster, or similar DAG-based scheduling platforms.
  • Hands-on experience with Docker and Kubernetes for deploying and managing production workloads.
  • Familiarity with deploying, operationalizing, and monitoring machine learning models in production environments.

Key Responsibilities

  • Design, develop, and maintain scalable batch and streaming data pipelines that support analytics and machine learning applications.
  • Develop robust Python-based data processing solutions and contribute C++ code when appropriate.
  • Design, optimize, and maintain SQL queries and data models to ensure efficient and reliable data processing.
  • Build, manage, and optimize workflow orchestration using DAG-based scheduling frameworks.
  • Support the deployment, data preparation, integration, and basic monitoring of machine learning models in production.
  • Deploy and maintain production workloads using Docker and Kubernetes while ensuring system reliability and performance.

Company Description

ZimZee Recruiting is a full-service recruiting and professional placement firm for both clients and candidates. We are located in Utah and serve both local and national needs. ZimZee Recruiting is passionate about recruiting, and our team members are focused, hardworking, and willing to go the extra mile to help fill a position or a new role for you. Our strong ethics and values provide an unmatched level of satisfaction for everyone involved with our team.
Our business team is passionate, dedicated and highly motivated to tackle the daily challenges of a fast-growing technology company. We aim to constantly improve our sales and marketing processes to grow at a fast pace.