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Learning Development Jobs in Lakeville, MN (NOW HIRING)

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Learning Development information

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$14

$42

$87

How much do learning development jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for learning development in Lakeville, MN is $42.35, according to ZipRecruiter salary data. Most workers in this role earn between $19.42 and $71.97 per hour, depending on experience, location, and employer.

What is a learning development?

A Learning Development job focuses on improving employee skills, knowledge, and performance through training programs, instructional materials, and development initiatives. Professionals in this role assess training needs, design learning experiences, and implement programs to support professional growth. They may use e-learning platforms, workshops, and coaching to enhance workplace effectiveness. Learning Development specialists work closely with management to align training with business goals and ensure continued employee success.

What are the most common projects or responsibilities for someone working in learning development?

Professionals in Learning Development typically design and deliver training programs, create instructional materials, and evaluate the effectiveness of learning initiatives. They often conduct needs assessments, collaborate with subject matter experts, and manage projects to ensure timely rollouts of development solutions. On a weekly basis, you may facilitate live or virtual training sessions, update training content based on feedback, and track learning outcomes using analytics tools. The work is highly collaborative, requiring regular interaction with HR, leadership, and operational teams to ensure learning aligns with business objectives.

What are the key skills and qualifications needed to thrive in learning development, and why are they important?

To thrive in Learning Development, you need expertise in instructional design, adult learning principles, and curriculum development, often supported by a relevant bachelor's degree or certifications like CPLP or CPTD. Familiarity with learning management systems (LMS), e-learning authoring tools such as Articulate Storyline or Adobe Captivate, and analytics platforms is commonly required. Exceptional communication, facilitation, and project management skills set standout professionals apart in this field. These abilities are critical for designing effective training programs that enhance employee skills and support organizational goals.

How do I become a learning development specialist?

To become a learning development specialist, typically a bachelor's degree in education, human resources, or a related field is required. Gaining experience in training, instructional design, or curriculum development, along with proficiency in e-learning tools and certifications like CPLP or ATD, can enhance job prospects.

What are jobs in learning development?

Jobs in learning development involve designing, implementing, and evaluating educational programs and training materials to improve employee skills and knowledge. Common roles include Learning and Development Specialist, Instructional Designer, Trainer, and Training Coordinator, often requiring skills in curriculum design, e-learning tools, and adult learning principles.

What are the most commonly searched types of Learning Development jobs in Lakeville, MN?

The most popular types of Learning Development jobs in Lakeville, MN are:

What are popular job titles related to Learning Development jobs in Lakeville, MN?

For Learning Development jobs in Lakeville, MN, the most frequently searched job titles are:

What job categories do people searching Learning Development jobs in Lakeville, MN look for?

The top searched job categories for Learning Development jobs in Lakeville, MN are:

What cities near Lakeville, MN are hiring for Learning Development jobs?

Cities near Lakeville, MN with the most Learning Development job openings:

Learning Development jobs near you
Infographic showing various Learning Development job openings in Lakeville, MN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $88,079 per year, or $42.3 per hour.

Machine Learning Engineer

Solution Design Group

Minneapolis, MN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

SDG is a high-performance software community. We are a team of collaborative and creative consultants who build and deliver custom software for some of the most recognizable local and national brands. In this role, you will be asked to leverage your current skills while also learning new ones. Working in over 500 different technologies and continually learning together, you can expect a one-of-a-kind and award-winning work experience. Our team at SDG has exceptional integrity and the desire to create the best possible customer solutions. We are proud to partner with our customers to consistently provide a successful working relationship as a high-performance team. 

We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our customer's products and services. You will be a part of a tight-knit technical community, giving you the opportunity to constantly grow your development amongst top technical talent. You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to drive the development and deployment of machine learning solutions. SDG is looking for a hard worker with a team-oriented mindset, that has at least 3 years of experience and an in-depth understanding of machine learning and cloud data tools. A successful Machine Learning Engineer at SDG is a lifelong learner who is motivated to continually improve their craft and thrives amongst their fellow employee-owners.
SDG's Machine Learning Engineer's have proven experience with the following responsibilities. If you do too, we want to hear from you:
  • Design, implement, and optimize machine learning algorithms and models to address specific business challenges.
  • Collaborate with data engineers to preprocess and transform raw data into a format suitable for machine learning models. Conduct feature engineering to extract relevant information for model training.
  • Train, validate, and fine-tune machine learning models using state-of-the-art techniques. Evaluate model performance and iterate on models to improve accuracy and efficiency.
  • Deploy machine learning models into production environments and integrate them into existing systems. Collaborate with software engineers to ensure seamless integration with our products.
  • Stay abreast of the latest developments in machine learning and related fields. Proactively identify opportunities to enhance existing models and propose new approaches to solve business problems.
Requirements:
  • 3+ years of hands-on, professional machine learning development experience, delivering solutions in a large scale enterprise environment
  • Experience with Public Cloud Providers such as AWS and Microsoft Azure
  • Experience with AWS and/or Azure data tools and services
  • Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub Copilot) to increase development velocity, improve code quality, and support complex problem-solving
  • Strong understanding of data processing, data engineering, and data visualization.
  • Experience with SQL and NoSQL databases
  • Proficient in programming languages such as Python and R
  • Familiarity with big data technologies such as Apache Spark
  • Experience with Machine Learning frameworks such as TensorFlow or PyTorch
  • Ability to work effectively in a collaborative, cross-functional team environment. Excellent communication skills and the ability to explain complex concepts to both technical and non-technical stakeholders.
  • Strong analytical and problem-solving skills. Proven ability to tackle complex problems and deliver robust machine learning solutions.
  • Prior consulting or professional services experience is a bonus
  • Education degree or certification in Computer Science, or the equivalent related work experience
 
What's in it for you?
  • Full-time salaried consultant position
  • A true stake in success. SDG is an ESOP - 100% employee owned 
  • Star Tribune Top Workplace winner the last 7 consecutive years
  • National Top Workplace in 2023, 2024 & 2025
  • Engaged teammates who care about quality solutions 
  • Challenging and rewarding work with great customers 
  • Various opportunities to give back to the community 
  • Be amongst some of the best technologists in the industry
  • Dedicated to our core values of superior customer service, exceptional employee experience, and responsible corporate citizenship
  • Opportunities to connect with other SDGer's via internal communities, committees, and events - virtually and in person
SDG is proud to offer an array of benefits for our employees including but not limited to medical, dental, and vision insurance benefits, paid time off, paid holidays, short and long-term disability, life insurance options, a monthly technology reimbursement allowance, 401k, birth and non-birth parent leave, ESOP, trainings and certifications, and company-owned cabins. Fair and equitable compensation is important to us. The salary range for this opportunity is $130,000 - $170,000. The offer may fall outside this range given factors such as skills and experience. The salary range is subject to change and may be modified at any time.
 
 
Applicants must be authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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