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Machine Learning Engineer Biotech Jobs in Orem, UT

Autonomous Solutions

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 ...

Autonomous Solutions

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 ...

BambooHR

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 ...

Waystar

Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

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

Waystar

Sr. Data Scientist

Lehi, UT · On-site

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

Patientco

Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Waystar

Data Scientist

Lehi, UT · On-site

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

NetDocuments

Staff FinOps Engineer

Lehi, UT

Establish financial visibility and governance models for AI and machine learning workloads ... Demonstrated ability to influence Engineering teams and drive operational change without direct ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Crew Career Center

Sr. Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Patientco

Sr. Data Scientist

Lehi, UT

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

Patientco

Data Scientist

Lehi, UT · On-site

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

nCino OpCo

Senior Data Scientist

Lehi, UT

$107K - $183K/yr

Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

Waystar

Data Scientist

Lehi, UT · On-site

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

KēSTA I.T.

Data Scientist

Lehi, UT

$120K - $145K/yr

Collaborate with data science peers, engineering, product, and operations teams to design, test, and deploy machine learning models that deliver operational impact * Partner with engineering teams to ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Orem, UT

Machine Learning Engineer Biotech information

See Orem, UT salary details

$27.4K

$111.9K

$168.2K

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

As of Jun 22, 2026, the average yearly pay for machine learning engineer biotech in Orem, UT is $111,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $134,800.00 per year, depending on experience, location, and employer.

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

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

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

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Orem, UT? The most popular types of Machine Learning Engineer Biotech jobs in Orem, UT are:
What are popular job titles related to Machine Learning Engineer Biotech jobs in Orem, UT? For Machine Learning Engineer Biotech jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Orem, UT look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Orem, UT are:
Machine Learning Engineer Biotech jobs near you
AI Infrastructure Engineer IV

AI Infrastructure Engineer IV

Autonomous Solutions

Lehi, UT • On-site

$100K - $132K/yr

Full-time

Posted 15 days ago

Job description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.

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 compute, storage, and cloud environments are scalable, efficient, and tuned for high-performance AI workloads. Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.

Responsibilities:

  • Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads.

  • Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability.

  • Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows.

  • Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes.

  • Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines.

  • Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges.

Required Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.

  • 8+ years of experience in cloud infrastructure, DevOps, or platform engineering with 3+ years working on AI/ML systems.

  • Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage.

  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

  • Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools.

  • Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.).

  • Experience implementing CI/CD pipelines, MLOps practices, and automation tooling.

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

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