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Insurance Learning Development Jobs in Eden Prairie, MN

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

We have developed a deep understanding in extracting useful, actionable information from multiple ... insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and ...

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

We have developed a deep understanding in extracting useful, actionable information from multiple ... insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and ...

Showing results 21-40

Insurance Learning Development information

See Eden Prairie, MN salary details

$14

$41

$85

How much do insurance learning development jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for insurance learning development in Eden Prairie, MN is $41.69, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $70.82 per hour, depending on experience, location, and employer.

What is Insurance Learning Development?

Insurance Learning Development refers to the processes and strategies used to train, educate, and develop skills for employees within the insurance industry. This includes creating training programs, managing e-learning platforms, and ensuring staff stay current with regulations and industry best practices. Professionals in this field work closely with subject matter experts to design courses on topics like underwriting, claims management, compliance, and customer service. The goal is to enhance employee performance, maintain compliance, and improve overall organizational effectiveness.

What are the key skills and qualifications needed to thrive in Insurance Learning Development?

To excel in Insurance Learning Development, you need a solid understanding of insurance products, adult learning principles, and instructional design, typically backed by a degree in education, business, or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools, and certifications such as CPLP or L&D-focused credentials are commonly required. Excellent communication, creativity, and the ability to adapt training methods to diverse audiences will help you stand out. These skills ensure effective training delivery that enhances employee performance and supports organizational compliance and growth.

What are the main challenges faced by professionals in Insurance Learning Development, and how can they be addressed?

Professionals in Insurance Learning Development often face the challenge of keeping training materials current with evolving regulations and complex insurance products. Additionally, engaging a diverse workforce with varying levels of experience requires innovative instructional strategies and adaptive delivery methods. Building strong collaboration with subject matter experts and regularly seeking feedback from learners can help ensure training programs are both accurate and effective. Staying updated with industry trends and leveraging technology for e-learning also supports continuous improvement in this role.

What is the difference between Insurance Learning Development vs Insurance Training Coordinator?

AspectInsurance Learning DevelopmentInsurance Training Coordinator
CertificationsTypically requires industry certifications and instructional design credentialsMay require basic insurance or training certifications
Work EnvironmentDesigns and develops training programs, often in corporate or educational settingsCoordinates and delivers training sessions, often within insurance companies or agencies
Employer & Industry UsageUsed by insurance companies, corporate training firms, and educational institutionsCommonly employed by insurance firms, brokerages, and training providers

Insurance Learning Development focuses on creating and implementing comprehensive training programs, often involving instructional design and curriculum development. In contrast, an Insurance Training Coordinator primarily manages the delivery and coordination of training sessions. Both roles support employee education but differ in scope and responsibilities.

What are popular job titles related to Insurance Learning Development jobs in Eden Prairie, MN?

For Insurance Learning Development jobs in Eden Prairie, MN, the most frequently searched job titles are:

What job categories do people searching Insurance Learning Development jobs in Eden Prairie, MN look for?

The top searched job categories for Insurance Learning Development jobs in Eden Prairie, MN are:

What cities near Eden Prairie, MN are hiring for Insurance Learning Development jobs?

Cities near Eden Prairie, MN with the most Insurance Learning Development job openings:

Infographic showing various Insurance Learning Development job openings in Eden Prairie, MN as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,711 per year, or $41.7 per hour.

AI/ML Engineer

Saint Paul, MN • On-site

York Solutions, LLC
IT Services • 51 - 200 employees

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description


Primary Responsibilities:
Lead the design and development of ML pipelines for advanced AI algorithms and ML models to solve complex problems across diverse business domains.
Collaborate on development of ML architecture and implement robust, efficient, and scalable AI systems that integrate seamlessly with existing infrastructure and platforms.
Collaborate with research scientists, data scientists, and software engineers to translate research findings into practical, scalable AI solutions.
Evaluate and experiment with emerging AI technologies, frameworks, and methodologies to stay at the forefront of innovation. Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and growth.
Collaborate with stakeholders to understand requirements, gather feedback, and iterate on AI solutions to ensure alignment with business objectives.
Deploy, test, and optimize ML models and data pipelines in production environments.
Perform model tuning, prompt tuning, and other ML optimization processes alongside other technical experts to maximize the mission impact of the AI product.
Participate in the delivery, evaluation, and maintenance of enterprise products, ensuring they meet high-quality standards.
Qualifications:
Advanced degree (Master's or Ph.D.) or equivalent industry experience in Computer Science, Machine Learning, or related fields.
5+ years of experience in a similar role in a production environment.
Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, StreamSets, etc.
Hands-on experience with cloud computing platforms such as AWS.
Strong proficiency in Python and experience with NLP techniques, resources, and methodologies such as Scikit-learn, TensorFlow, PyTorch, HuggingFace, Comprehend, XGBoost, LangChain, etc.
Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, ElasticSearch, PostgreSQL, IBM MQ, Apache Kafka, etc.
Experience with iterative development processes, thriving in dynamic and agile environments.
Ability to own ML delivery tasks end-to-end with little to no direct support. Hands-on experience in deploying machine learning models into production environments.
Strong understanding of software design patterns, principles, architecture, and operations.
Strong communication skills and the ability to collaborate effectively with business partners, vendors, end users, and cross-functional teams
Benefits:
York Solutions Offers a generous benefits package for eligible full-time employees:

  • BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program)
  • Delta Dental plan with 2 free cleanings and insurance discounts
  • Eye Med Vision with annual check-ups and discounts on lens
  • Life and Accidental Death Insurance paid by company
  • John Hancock 401(k) Retirement Plan with discretionary company match
  • Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance.
  • Flexible work environment with some remote working opportunities
  • Strong fun and teamwork environment
  • Learning, development, and career growth