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Machine Learning Manager Jobs in Maple Grove, MN

Horizontal Talent

IT Product Manager II

Richfield, MN · Remote

$34 - $69/hr

Work closely with machine learning partners to improve model performance and identify opportunities ... Experience coordinating cross-functional work in a digital product or product management ...

New

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

Evaluate and recommend appropriate machine learning algorithms and modeling techniques * Monitor ... Model lifecycle management * Experience leading or mentoring other Data Scientists * Strong problem ...

Precision Technologies Corp

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Responsible for designing, implementing, and managing data and machine learning solutions on Google Cloud Platform * Key Responsibilities: * Design end-to-end data solutions, including data ingestion ...

Jobtailor

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Machine Learning * Data Mining * Statistical Modeling * Data Application Design * Exploratory Data Analysis * Automated Data Pipelines * Data Accuracy Monitoring * Complex Dataset Management * Best ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Maple Grove, MN

Machine Learning Manager information

See Maple Grove, MN salary details

$52.2K

$83.7K

$120.8K

How much do machine learning manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning manager in Maple Grove, MN is $83,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $94,700.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the most commonly searched types of Machine Learning jobs in Maple Grove, MN?

The most popular types of Machine Learning jobs in Maple Grove, MN are:

What are popular job titles related to Machine Learning Manager jobs in Maple Grove, MN?

For Machine Learning Manager jobs in Maple Grove, MN, the most frequently searched job titles are:

What cities near Maple Grove, MN are hiring for Machine Learning Manager jobs?

Cities near Maple Grove, MN with the most Machine Learning Manager job openings:

Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Maple Grove, MN as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $83,665 per year, or $40.2 per hour.

Senior Manager - Delivery - Applied AI

Horizontal Talent

Minneapolis, MN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We’re looking for a Senior Manager, Delivery – Applied AI to lead the execution, delivery, and operational success of enterprise AI solutions. In this highly visible role, you’ll guide multidisciplinary teams building production-ready AI, machine learning, generative AI, and agentic AI capabilities that drive meaningful business impact.

Responsibilities
  • Lead end-to-end delivery of enterprise AI initiatives from early concept through production deployment and ongoing support
  • Oversee the design, build, integration, and operation of AI solutions that support business goals and measurable outcomes
  • Provide technical leadership across AI engineering efforts, ensuring solutions are aligned with architecture, security, scalability, and operational standards
  • Help establish and continuously improve the AI development lifecycle, including experimentation, model development, evaluation, deployment, monitoring, and governance
  • Partner with architecture, engineering, operations, data, security, product, and business teams to bring AI capabilities into enterprise systems
  • Remove delivery blockers, manage risks, and keep multiple AI initiatives moving forward with clarity and predictability
  • Lead and develop a multidisciplinary AI organization, including AI engineers, machine learning engineers, MLOps engineers, and AI platform specialists
  • Support staffing, capacity planning, prioritization, and sprint execution across active initiatives
  • Build a strong team culture centered on accountability, learning, collaboration, quality, and continuous improvement
  • Manage team performance, coaching, development planning, onboarding, and retention in partnership with leadership and HR
  • Communicate progress, dependencies, risks, and future needs to senior stakeholders
  • Drive operational excellence through delivery metrics, reusable frameworks, documentation, and engineering best practices
Skills
  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field
  • 10+ years of software engineering experience with increasing technical leadership responsibility
  • 5+ years leading AI or machine learning engineering teams delivering production solutions
  • Hands-on experience building and operating machine learning, generative AI, and AI-powered applications in production
  • Strong understanding of the full AI development lifecycle, including evaluation, deployment, monitoring, governance, and lifecycle management
  • Deep software engineering knowledge across cloud-native architecture, APIs, distributed systems, CI/CD, DevOps, and modern delivery practices
  • Proven success leading cross-functional technology efforts involving engineering, infrastructure, cloud, data, security, architecture, product, and business teams
  • Ability to build, coach, and scale high-performing technical teams
  • Excellent communication, planning, prioritization, and stakeholder management skills
  • Strong commitment to quality, responsible AI practices, and operational reliability
Preferred Skills
  • Master’s degree in a related technical field
  • Experience with agentic coding practices, AI evaluations, and evolving AI platform capabilities
  • Background in enterprise governance, privacy, security, or regulatory environments
  • Experience shaping team structure, hiring strategy, succession planning, and long-term talent development
  • Ability to translate strategy into practical delivery plans and scalable operating models

Horizontal is committed to building an inclusive workplace where diverse perspectives are valued, respected, and supported. We believe equity and belonging strengthen teams, improve outcomes, and help create better experiences for everyone.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.

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