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Remote Machine Learning Jobs in Elkhart, IN (NOW HIRING)

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Remote Machine Learning information

See Elkhart, IN salary details

$24.4K

$40.7K

$84.2K

How much do remote machine learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote machine learning in Elkhart, IN is $40,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are popular job titles related to Remote Machine Learning jobs in Elkhart, IN? For Remote Machine Learning jobs in Elkhart, IN, the most frequently searched job titles are:
What cities near Elkhart, IN are hiring for Remote Machine Learning jobs? Cities near Elkhart, IN with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Elkhart, IN as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 28% Part Time, 3% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $40,744 per year, or $19.6 per hour.
Identity and Access Management Administrator (Remote)

Identity and Access Management Administrator (Remote)

University of Notre Dame

Notre Dame, IN • Remote

Full-time

Posted 11 days ago


University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

335th of 611 rated colleges and universities


Job description

Company Description

For over 180 years, the University of Notre Dame has been a leading American research university, offering a distinct perspective in higher education. This Catholic institution, based in Notre Dame, Indiana, is driven by a powerful blend of faith and intellectual curiosity, consistently pursuing excellence in education, groundbreaking research, and service to society. Notre Dame fosters a welcoming and vibrant campus where students, faculty, and staff are united in their commitment to creating an inclusive community and making a difference in the world. For individuals passionate about innovation, ethical leadership, and leveraging world-class facilities and renowned academic programs, Notre Dame provides a dynamic and impactful career path.

Job Description

Shape the Future of Trusted Access at Notre Dame

The University of Notre Dame is looking for a driven, detail-oriented Identity and Access Management (IAM) Administrator to join our award-winning Office of Information Technology (OIT). In this role, you'll take hands-on ownership of day-to-day operations, ticket resolution, and core security configurations across our enterprise identity infrastructures-safeguarding user access and securing the University's digital assets.

You will take ownership of daily operational requirements to ensure continuous delivery across major team initiatives, making sure the right people have the right access, to the right resources, at the right time, and in the right context. If you are a technical professional with a few years of identity experience under your belt, eager to run cutting-edge platforms and support a robust, multi-year security roadmap, this is your opportunity to drive meaningful impact at one of the top IT workplaces in the nation.

What You'll Do

  • Power Core Identity Operations - Execute day-to-day administration, ticket management, and complete user lifecycle provisioning/de-provisioning across Okta, AD, and Entra ID.

  • Enforce Trusted Access - Administer and monitor adaptive, real-time access policies under Notre Dame's Zero Trust Framework, leveraging shared signal frameworks and device-posture compliance.

  • Scale with Automation & AI - Leverage modern, built-in AI features to monitor queues, flag anomalies, and optimize automated user-matching logic. Run, maintain, and modify PowerShell or Python scripts to automate repetitive tasks and handle high-volume data cleanups.

  • Respond with Agility - Triage, troubleshoot, and resolve daily support requests, authentication incidents, and sync errors escalated by the OIT Service Desk or campus users.

  • Support Next-Gen Initiatives - Assist in implementing critical security pipelines, including managing user scopes and permission boundaries within our Privileged Access Management (PAM) infrastructure.

  • Secure the Cloud Ecosystem - Onboard cloud-based SaaS and on-premise applications using established, secure integration templates.

  • Drive Compliance & Clarity - Support comprehensive user privilege audits and access reviews while developing clear, user-friendly operational runbooks and documentation.

  • Ensure 24/7 Protection - Provide critical after-hours and on-call operational support as part of a regular team rotation to ensure high availability of our critical identity platforms.

The Office of Information Technology (OIT) has been recognized for thirteen consecutive years in IDG's Insider Pro and Computerworld's best places to work in IT. At Notre Dame, we believe in creating an environment where everyone feels valued, respected, and included.

Qualifications

Minimum Qualifications

  • Bachelor's degree in a related technical field (or an equivalent combination of education and professional IT experience).

  • At least 3 years of professional experience in an Information Technology domain, with a clear focus on hands-on Identity and Access Management execution.

  • Demonstrated experience in day-to-day administration of enterprise identity platforms, such as Okta, Active Directory, or Entra ID.

  • Hands-on familiarity with handling user requests, troubleshooting authentication/authorization errors, and modifying access settings.

  • Work authorization in the United States and the ability to work without visa sponsorship, now and in the future.

Preferred Qualifications

  • Experience with IAM technologies in a Higher Education environment.

  • Familiarity with conditional access environments utilizing shared signal frameworks, endpoint management states, or GlobalProtect VPN settings.

  • Basic awareness of Privileged Access Management (PAM) administration or tooling.

  • Familiarity with leveraging AI or machine-learning tools for user analytics or threat detection within identity ecosystems.

  • Proficiency writing or running scripts (PowerShell, Python, or JSON) to drive lifecycle automation workflows.

Additional Information
  • Deadline to Apply (subject to change): Sunday, July 26th, 2026
  • Work Location: This is a fully remote position with occasional department-funded travel to campus required.
  • Salary: Up to 95K, commensurate with experience
  • Please include a cover letter for full consideration of your application

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.


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