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Remote Machine Learning Jobs in Cottage Grove, MN

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

Role: AI/ML Architect Remote JD- * AI Architect to define and lead scalable enterprise AI ... Define the right AI approach across machine learning and Generative AI initiatives * Establish ...

Horizontal Talent

AI Engineer

Minneapolis, MN · Remote

This remote opportunity is ideal for a hands-on engineer who thrives in a collaborative environment and enjoys building practical, scalable AI and machine learning solutions. Responsibilities

New

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Horizontal Talent

Senior AI Engineer

Minneapolis, MN · Remote

$109K - $149K/yr

... machine learning, generative AI, and agentic AI solutions that improve business outcomes and accelerate transformation. This remote opportunity offers the chance to work across teams, build scalable ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Cottage Grove, MN

Remote Machine Learning information

See Cottage Grove, MN salary details

$26.6K

$44.4K

$91.7K

How much do remote machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote machine learning in Cottage Grove, MN is $44,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $47,900.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Cottage Grove, MN? The most popular types of Machine Learning jobs in Cottage Grove, MN are:
What are popular job titles related to Remote Machine Learning jobs in Cottage Grove, MN? For Remote Machine Learning jobs in Cottage Grove, MN, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Cottage Grove, MN look for? The top searched job categories for Remote Machine Learning jobs in Cottage Grove, MN are:
What cities near Cottage Grove, MN are hiring for Remote Machine Learning jobs? Cities near Cottage Grove, MN with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

AI/ML Architect

Tror AI for everyone

Minneapolis, MN • Remote

Contractor

Re-posted 11 days ago

Job description

Role: AI/ML Architect

Remote

JD-

  • AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives.
  • Job Description:
  • Design and lead AI architecture for business use cases
  • Define the right AI approach across machine learning and Generative AI initiatives
  • Establish architecture standards, reusable patterns, and best practices for AI development
  • Guide integration of AI models into applications and enterprise systems
  • Lead development, deployment, monitoring, and continuous improvement of AI solutions
  • Ensure AI solutions are secure, scalable, reusable, and aligned with governance standards
  • Work closely with business, engineering, and data teams to deliver practical AI solutions
  • Provide technical leadership and guidance across AI initiatives
  • Recommend tools, platforms, and best practices for AI development
  • Skills / Requirements:
  • Experience with AI/ML and Generative AI, including LLMs, prompting, orchestration, and evaluation
  • Ability to design scalable, reusable AI architectures
  • Applied machine learning knowledge (model selection, training, tuning)
  • Strong understanding of machine learning concepts and model lifecycle
  • Proficiency in Python for AI/ML solution development
  • Experience integrating AI models through APIs and enterprise systems
  • Experience with cloud-based AI platforms and services
  • Familiarity with MLOps, AI governance, and platforms such as Azure, AWS, or Google Cloud

Client Feedback-

The candidate should have more AI/ML experience – Blend of Hands on experience + Solutioning.