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Remote Aws Machine Learning Jobs in Wisconsin (NOW HIRING)

The position supports advanced analytics, machine learning, and federated research capabilities ... It is anticipated that this position will be remote and requires work be performed at an offsite ...

Azure MFA Architect

Racine, WI · Remote

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

Azure MFA Architect

Racine, WI · On-site +1

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning Erfahrung in der Entwicklung ...

Cloud Engineer II

Neenah, WI · Remote

$57.50 - $76.75/hr

... Machines, Microsoft's PaaS solutions, and SaaS solutions. About Jewelers Mutual Jewelers Mutual ... Our engineering team in Raleigh is building a serverless, event-driven platform on AWS, a modern ...

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

New

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... Analyze defect trends using tools like AI, machine learning, and statistical modeling to catch ...

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Remote Aws Machine Learning information

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

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are the most commonly searched types of Aws Machine Learning jobs in Wisconsin? The most popular types of Aws Machine Learning jobs in Wisconsin are:
What are popular job titles related to Remote Aws Machine Learning jobs in Wisconsin? For Remote Aws Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Wisconsin look for? The top searched job categories for Remote Aws Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Aws Machine Learning jobs? Cities in Wisconsin with the most Remote Aws Machine Learning job openings:
Data Solutions Architect

Data Solutions Architect

University of Wisconsin-Madison

Madison, WI • On-site, Remote

Full-time

Retirement, PTO

Posted 9 days ago


University Of Wisconsin-Madison rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

108th of 555 rated colleges and universities


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Job Category:
Academic Staff
Employment Type:
Regular
Job Profile:
Technical Integration Eng III
Job Summary:
The Wisconsin Health Data Hub (WHDH), funded by the U.S. Economic Development Administration (EDA), is developing a secure, cloud-native data platform designed to deliver high-quality real-world data to support biomedical research, advanced analytics, and AI-driven discovery.
The Data Solutions Architect provides senior technical leadership responsible for designing, implementing, and governing the architecture of WHDH's data platform. This role ensures the secure, scalable integration, storage, and analysis of complex clinical and research data assets across a cloud-based environment. The position supports advanced analytics, machine learning, and federated research capabilities while maintaining compliance with HIPAA and institutional data governance standards.
Working closely with data engineers, AI specialists, security analyst, and governance leaders, the Data Solutions Architect will translate research and operational requirements into scalable data architecture solutions that support WHDH's long-term platform strategy.
Key Responsibilities:
Data Architecture and Platform Design
  • Design and implement the architectural framework supporting WHDH's secure, cloud-native data platform.
  • Develop scalable architectures for ingesting, harmonizing, storing, and delivering structured and unstructured health data.
  • Establish data models, metadata frameworks, and integration architectures that support advanced research workflows.
  • Design high-performance analytics capabilities enabling AI, machine learning, and large-scale data analysis.

Data Integration and Interoperability
  • Architect secure data pipelines for ingestion and transformation of multi-source clinical and research datasets.
  • Enable interoperable data exchange across contributing health systems and research institutions.
  • Implement scalable services supporting federated queries, distributed analytics, and secure data sharing.

Data Governance and Security
  • Ensure compliance with HIPAA, institutional governance policies, and research data security standards.
  • Establish architectural best practices related to data governance, reproducibility, and responsible use of sensitive health data.
  • Design solutions that support secure access control, auditing, and governance across the WHDH data ecosystem.

Platform Innovation and Strategy
  • Guide the adoption of modern data platform architecture that enhance data discovery, metadata management, and scalable research workflows.
  • Evaluate and implement emerging trends that improve interoperability, accessibility, and performance of WHDH data assets.
  • Develop modular, extensible platform components that enable technology transfer and sustainability beyond the grant period.

Collaboration and Leadership
  • Collaborate with cross-functional teams including data engineers, AI researchers, security analyst, and governance leaders.
  • Provide leadership in defining system design patterns and platform architecture standards.
  • Support multi-institutional research initiatives by enabling secure and scalable collaborative data environments.

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. It is an expectation the finalist will have permanent residence within the State of Wisconsin. Successful applicants who do not currently live in Wisconsin must have plans to move to the State within a reasonable time from the position start date.
Key Job Responsibilities:
  • Plans, coordinates, and executes the development, testing, implementation, integration, and installation of moderately complex system resources, upgrades, and security components in alignment with industry best practices
  • Designs small components and runs, maintains, and operates technical systems and infrastructure
  • Defines and implements standards for healthcare data interoperability using frameworks such as HL7 FHIR, OMOP Common Data Model, and other biomedical data models to ensure consistent, high-quality data exchange across contributing institutions and research partners
  • Serves as an expert point of contact for external stakeholders and IT partners regarding system integrations, identifies needs, provides solution options, and communicates issue updates and resolutions
  • Plans and directs staff implementation of small to medium technical projects as needed
  • Architects systems that enable privacy-preserving analytics, federated queries, and secure multi-institutional collaboration while maintaining strict data governance controls and enabling authorized researchers to discover and analyze distributed health datasets
  • Develops architectural patterns that support large-scale biomedical datasets, including real-world data, clinical text, imaging, and genomic data, enabling advanced analytics, machine learning, and AI-driven research workflows within a secure cloud environment
  • Designs and implements data architecture that enables secure ingestion, normalization, and integration of clinical, research, and operational data from multiple health system partners while ensuring compliance with HIPAA, institutional policies, and data use agreements
  • Participates in the evaluation of vendor software releases, upgrade planning, and impact. Documents and communicates system enhancements or changes
  • Integrates, identifies, troubleshoots, monitors, and resolves complex and varied supported services, systems, network, and application problems according to established processes and procedures
  • Assists in the design of system and infrastructure specifications, implementation, and/or integration, trend analysis, and capacity planning

Department:
School of Medicine and Public Health, Office of Informatics, Wisconsin Health Data Hub.
This position is within the School of Medicine and Public Health's Office of Informatics, which is a multidisciplinary team of data scientists, engineers, developers, etc. We offer a variety of Informatics services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research.
  • Informatics: We provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.

Compensation:
The starting salary for the position is $120,000 annually, but is negotiable based on experience and qualifications.
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer 2026,
Required Qualifications:
  • At least 8 years' experience designing and implementing enterprise-scale data architectures;
  • Expertise with cloud-native data platforms and distributed data solutions.
  • Experience designing secure data pipelines and large-scale data integration frameworks.
  • Familiarity with healthcare or biomedical research data environments and relevant regulatory requirements.

Preferred Qualifications:
  • Experience with healthcare data standards and interoperability frameworks.
  • Experience supporting AI/ML and advanced analytics workloads.
  • Expertise with federated data architectures and secure multi-institutional data collaboration.
  • Experience working in federally funded research programs or academic research environments.
  • Strong documentation and technical leadership skills

Education:
  • Bachelor's degree strongly preferred; focus in Computer Science, Information Systems, Data Engineering, or related field preferred.

How to Apply:
For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.
To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.
Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area.
  • Cover letter (required)
  • Resume (required)

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.
The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.
Contact Information:
Cody Roekle, croekle@wisc.edu, 16082637676
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

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About University of Wisconsin

Sourced by ZipRecruiter

The University of Wisconsin, based in Madison, WI, US, functions in the educational industry and is a renowned and respected institution for higher education. Its official website is wisc.edu. Established in 1848, this public research university is recognized globally for its innovative approach to education, research, creativity, and public service. It embodies a strong commitment to academic freedom and academic excellence. As a major contributor to the Wisconsin Idea, it aims to accomplish its mission of generating well-rounded individuals who will contribute substantially to society, the local community, and the global economy.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Madison, WI, US

Year founded

2005