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Machine Learning Biomedical Engineer Jobs in Orlando, FL

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Lead ML Ops Engineer

Orlando, FL · On-site

$95K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Be Seen First

Strong Python programming skills with hands-on experience building, training, deploying, and monitoring machine learning models. * Solid experience with SQL (2+ years) for database querying, data ...

Be Seen First

Strong Python programming skills with hands-on experience building, training, deploying, and monitoring machine learning models. * Solid experience with SQL (2+ years) for database querying, data ...

AI Solutions Software Developer

Orlando, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Use machine learning, natural language processing, OCR, automation, Generative AI, and model ... We're committed to leading our clients across our various end markets to engineer a better future ...

US Tech - AI Engineering Senior Associate

Orlando, FL

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Showing results 21-40

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 12, 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:

Full-time

Re-posted 10 days ago


Job description

Company Description

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place.

Job Description

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Qualifications

Qualifications

         Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

         At least 2 years' of experience in quantitative analytics or data modeling

         Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms

         Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.

         Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)

Additional Information

Responsibilities

         Analyze raw data: assessing quality, cleansing, structuring for downstream processing

         Design accurate and scalable prediction algorithms

         Collaborate with engineering team to bring analytical prototypes to production

         Generate actionable insights for business improvements

tion will be kept confidential according to EEO guidelines.