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Machine Learning Biomedical Engineer Jobs in Davenport, IA

Azure AI Architect with M365

Moline, IL · On-site

$57.25 - $74.75/hr

... Machine Learning, and Azure Cognitive Services * Architect scalable and secure AI solutions using ... Implement prompt engineering, fine-tuning , and retrieval mechanisms for improved AI performance

Controls Engineer

Rock Island, IL

$38 - $45/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop expertise in machine automation, controls architecture, and system optimization ... learning and growth. With minimal bureaucracy, employees have the freedom to contribute ideas ...

Senior Data Scientist- Rock Island, IL

Rock Island, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience working with tools, including objectoriented programming (Python, Java), computational ... Familiarity with machine learning, data mining, statistical network, natural language processing ...

Train CNC operators or machinists and those learning to use the CAM software; * Understand fit ... Experience and Skills * 1-3 years' experience in CNC Programming software, Gibbs CAM; * Ability to ...

Train CNC operators or machinists and those learning to use the CAM software; * Understand fit ... Experience and Skills * 1-3 years' experience in CNC Programming software, Gibbs CAM; * Ability to ...

CNC Programmer

Bettendorf, IA · On-site

$28 - $35/hr

Train CNC operators or machinists and those learning to use the CAM software; * Understand fit ... Experience and Skills * 1-3 years' experience in CNC Programming software, Gibbs CAM; * Ability to ...

Train CNC operators or machinists and those learning to use the CAM software; * Understand fit ... Experience and Skills * 1-3 years' experience in CNC Programming software, Gibbs CAM; * Ability to ...

Buyer

Moline, IL · On-site

$65K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work closely with engineering and manufacturing to interpret BOMs, drawings, and specifications for ... Continuous Learning: Dedicated to expanding technical knowledge and on-the-job expertise. Benefits ...

Emergency Medicine Physician

Geneseo, IL · On-site

$215 - $310/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... learning and practical application to high school students focusing on technical trades. The ... This machine also allows us to stitch images so that long bones can be viewed with improved quality.

Transportation Operations Manager

Davenport, IA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and learning • Ability to develop and share best practices across the shifts and network • ... Master's degree in Engineering, Operations, Supply Chain/Logistics, or a related field ...

Industrial Blaster

Muscatine, IA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Union Tank Car Company's regulatory, engineering, and commercial expertise make UTLX the preferred ... Have experience in machine operation * Must be able to work effectively and efficiently both as a ...

Industrial Blaster

Muscatine, IA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Union Tank Car Company's regulatory, engineering, and commercial expertise make UTLX the preferred ... Have experience in machine operation * Must be able to work effectively and efficiently both as a ...

Showing results 21-39

Machine Learning Biomedical Engineer information

See Davenport, IA salary details

$29.9K

$122.2K

$183.6K

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

As of Aug 14, 2026, the average yearly pay for machine learning biomedical engineer in Davenport, IA is $122,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $147,000.00 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 Davenport, IA?

For Machine Learning Biomedical Engineer jobs in Davenport, IA, the most frequently searched job titles are:

Azure AI Architect with M365

1 point system

Moline, IL • On-site

$57.25 - $74.75/hr

Contractor

Re-posted 3 days ago


Job description

Azure AI Architect with M365

Moline, IL Onsite

Rate: Open (DOE)

No H1B, CPT, OPT

Position Overview

We are seeking an experienced Azure AI Architect to lead the design, implementation, and optimization of AI solutions within Microsoft Azure's ecosystem. This senior role requires deep expertise in AI/ML architectures, Azure cloud services, M365 Architectures including Copilot and Enterprise AI strategy, with a strong ability to drive innovation and scalability.

Key Responsibilities

AI Strategy & Architecture

  • Define and execute enterprise-wide AI strategies leveraging Azure AI, Azure OpenAI Service, Azure copilot studio, Azure AI Foundry, Azure AI Services, Azure Machine Learning, and Azure Cognitive Services
  • Architect scalable and secure AI solutions using Azure Functions, Kubernetes Service (AKS), and Databricks
  • Develop AI governance frameworks, ensuring compliance with responsible AI principles and security best practices

AI Development & Model Optimization

  • Lead the development of generative AI applications, including LLMs, RAG models, AI Agents and custom AI pipelines
  • Implement prompt engineering, fine-tuning, and retrieval mechanisms for improved AI performance
  • Design vector-based search architectures using Azure Cognitive Search and vector databases

Cloud & DevOps Excellence

  • Drive MLOps best practices, automating AI model lifecycle with Azure DevOps and GitHub Actions
  • Optimize cloud AI workloads, balancing performance, cost, and security
  • Ensure scalability and resilience of AI applications using Azure infrastructure as code (Terraform, Bicep, ARM)

Cross-Team Leadership & Innovation

  • Collaborate with data scientists, engineers, and stakeholders to design AI-driven solutions
  • Evaluate emerging AI technologies, integrating innovations like LangChain, Semantic Kernel, and multi-agent AI frameworks
  • Lead AI architectural reviews, providing mentorship and best practices guidance to teams

Required Qualifications

Technical Expertise

  • 12+ years of experience in AI/ML architecture and Azure cloud environments
  • Strong proficiency in Python, C#, or R, with expertise in Azure AI services
  • Hands-on experience with M365 Copilot, M365 Copilot Studio, Azure OpenAI, Azure Bot Framework, and Cognitive Services
  • Deep understanding of LLMs, RAG models, and vector database implementations

AI & Cloud Certifications

  • Azure certifications preferred (AI-102, AZ-305, DP-100, AZ-305)
  • Experience with Terraform, Bicep, and ARM templates for cloud automation
  • Familiarity with MLOps frameworks for scalable AI deployment

Leadership & Business Impact

  • Proven ability to translate business needs into AI solutions
  • Strong problem-solving, strategic thinking, and innovation mindset
  • Excellent communication skills, capable of influencing senior stakeholders

Preferred Qualifications

  • Master’s degree in Computer Science, AI, or a related field
  • Experience with multi-cloud AI strategies, predominantly on Azure
  • Expertise in AI security, privacy, and compliance frameworks
  • Prior experience in enterprise AI solutions with large-scale deployments