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Machine Learning Biomedical Engineer Jobs in Orlando, FL

Pwc

US Tech - AI Engineering Senior Associate

Orlando, FL · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML). • Programming: Expert-level skills in SQL, Python, and R. • Automation & Apps: Experience with ...

Pwc

US Tech - AI Engineering Manager

Orlando, FL · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Apple

GPU Design Verification Engineer

Orlando, FL · On-site

$127K - $155K/yr

Description As a Senior Graphics Core Hardware Verification Engineer, you will be tasked with the ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

Apple

GPU Design Verification Engineer

Orlando, FL

$127K - $155K/yr

Description As a Senior Graphics Core Hardware Verification Engineer, you will be tasked with the ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

Leidos

Senior Software Engineer

Orlando, FL · On-site

$114K - $150K/yr

Experience with artificial intelligence, machine learning, neural networks, AI-assisted software ... engineering efforts. * Experience supporting software integration, testing, training ...

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All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Orlando, FL

Machine Learning Biomedical Engineer information

See Orlando, FL salary details

$29.4K

$120.2K

$180.6K

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

As of Aug 8, 2026, the average yearly pay for machine learning biomedical engineer in Orlando, FL is $120,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $144,700.00 per year, depending on experience, location, and employer.

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 Orlando, FL? For Machine Learning Biomedical Engineer jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Orlando, FL look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Machine Learning Biomedical Engineer jobs? Cities near Orlando, FL with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you

Senior Engineer - Manufacturing Process Analytics & Industrial AI

Siemens Energy, Inc.

Orlando, FL • On-site

$97K - $125K/yr

Full-time

Re-posted 16 days ago

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

115th of 487 rated machine equipment manufacturers

Job description

A Snapshot of Your Day
As a Senior Engineer - Manufacturing Process Analytics within SCM Procurement / Supply Chain Logistics, you are part of the Siemens Energy Strategic Procurement function and Corporate SQD team, focused on driving data driven supplier capability and manufacturing excellence.
You will lead the development and deployment of sensors monitoring manufacturing processes, developing manufacturing process analytics, predictive analytics models, and digital qualification standards across Siemens Energy's global supplier base. Your work will transform how supplier capability is assessed-moving from static audits toward continuous, data driven, and predictive "digital fingerprinting" of supplier performance.
You collaborate closely with Commodity Managers, Supplier Development (SQD), Engineering, Digital/IT teams, and supplier partners to:
  • Build data-driven supplier capability frameworks
  • Improve manufacturing performance using advanced analytics
  • Establish digital, scalable approaches to supplier qualification and performance monitoring
Your role bridges manufacturing, data science, and supply chain execution, enabling more proactive, predictive, and resilient supply chains.
How You'll Make an Impact
  • Manufacturing Process Analytics & Predictive Insights: Develop and implement advanced analytics models (statistical, machine learning, predictive) to forecast quality risks, process instability, and supply disruptions, while analyzing supplier manufacturing data (yield, defects, throughput, cycle time) to generate actionable insights.
  • Supplier Capability & Performance Analytics: Proactively assess supplier capabilities, identify operational gaps, and drive targeted development actions. Establish KPI frameworks, dashboards, and digital performance monitoring systems for supplier quality and manufacturing capability.
  • Digital Qualification Standards & "Digital Fingerprint": Define and deploy digital supplier qualification standards, integrating process capability metrics, quality system maturity, and data integrity. Develop a "digital fingerprint" of suppliers, combining historical performance data, process signatures, and risk indicators.
  • Supplier Development & Manufacturing Engagement: Work directly with suppliers and SQD teams to enable sensor implementation for real-time monitoring, drive process improvements using data insights, and implement corrective actions based on analytics. Engage on supplier shop floors to validate insights and ensure practical implementation.
  • Cross-Functional Analytics Leadership: Collaborate with engineering, manufacturing, and digital/IT teams to align analytics with product and process requirements. Lead cross-functional projects that deploy analytics solutions at scale, improving efficiency, cost, and quality.
  • Continuous Improvement & Innovation: Lead root cause investigations using statistical techniques and data models, drive lean/six sigma/kaizen initiatives enabled by analytics, and identify emerging technologies in smart manufacturing, AI/ML in supply chain, and digital twin/process simulation.

What You Bring
  • Education & Experience: Bachelor's or Master's degree in Engineering (Manufacturing, Industrial, Mechanical, Materials, Chemical), Data Science, or related fields, with 3+ years in manufacturing/process engineering or analytics.
  • Industrial Background: Experience in industrial environments (OEM, aerospace, energy, automotive) and proven application of data-driven approaches for performance improvement.
  • Technical Skills: Strong expertise in statistical analysis, predictive analytics, machine learning, and familiarity with manufacturing data sources (MES, ERP, SCADA, IoT).
  • Tools Proficiency: Proficient in programming and data analysis tools such as Python, R, SQL, and data visualization platforms like Power BI and Tableau.
  • Analytical & Communication Skills: Strong analytical mindset with the ability to translate data into actionable insights and effectively communicate with both technical and non-technical stakeholders.
  • Legal Authorization: Applicants must be legally authorized to work in the U.S. without employer-sponsored work authorization; Siemens Energy employees with visa sponsorship may qualify for internal transfers.
About the Team
You will be joining a team of technical experts in manufacturing processes, technologies and quality practices working globally to enhance the supply chain resiliency and supplier (SE and external) capability. Our Vision is to be the benchmark SQD organization for resilient, circular, and smart manufacturing supply networks. Our mission is to Use qualification/supplier excellence, data analytics/AI to reduce n-tier risk, increase capacity, maintain low NCCs, and improve circularity - while delivering on CCM(D) priorities
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy :[1] https://www.siemens-energy.com/employeevideo
Rewards
* Career growth and development opportunities
* Supportive work culture and a healthy work- life balance
* Flexible work environment with flex hours, telecommuting and digital workspaces.
* Competitive total rewards package
* Flexible benefits and savings programs
* Parental leave
* Profit sharing
* Contribute to our social responsibility initiatives
Jobs & Careers: [2] https://jobs.siemens-energy.com/jobs
#LI-CDS
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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