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Remote Machine Learning Engineer Jobs in Mount Pleasant, MI

Nexus Engineering Group

SCADA Engineer

Midland, MI · On-site +1

$85K - $120K/yr

... office, remote, and active project-site settings. This role may require: * Prolonged periods of ... Nexus Engineering Group is committed to providing reasonable accommodations to qualified ...

Nexus Engineering Group

SCADA Engineer

Midland, MI · On-site +1

$85K - $120K/yr

... office, remote, and active project-site settings. This role may require: * Prolonged periods of ... Nexus Engineering Group is committed to providing reasonable accommodations to qualified ...

Aptar Group

Business Development Manager

Midland, MI · On-site +1

Remote position; Preferably Midwest or East Coast in US (Western Europe possible) Travel: yes ... Develop strong relationships within key accounts across functions (R&D/engineering, quality ...

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Mount Pleasant, MI

Remote Machine Learning Engineer information

See Mount Pleasant, MI salary details

$29.1K

$118.8K

$178.5K

How much do remote machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning engineer in Mount Pleasant, MI is $118,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Mount Pleasant, MI?

The most popular types of Machine Learning Engineer jobs in Mount Pleasant, MI are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Mount Pleasant, MI?

For Remote Machine Learning Engineer jobs in Mount Pleasant, MI, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Mount Pleasant, MI look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Mount Pleasant, MI are:

What cities near Mount Pleasant, MI are hiring for Remote Machine Learning Engineer jobs?

Cities near Mount Pleasant, MI with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Mount Pleasant, MI as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $118,815 per year, or $57.1 per hour.

SCADA Engineer

Nexus Engineering Group

Midland, MI • On-site, Remote

$85K - $120K/yr

Full-time

Posted 5 days ago

Job description

Nexus Engineering Group is employee-owned, full-service, and built by the people who do the work. As a SCADA Engineer, you’ll help design, analyze, and deliver electrical substation projects for utility and power delivery clients — with exposure across the full breadth of substation engineering.
 
As a SCADA Engineer, you will develop and support supervisory control and data acquisition (SCADA) systems, RTU integration, substation automation, and communication networks that help clients monitor and operate critical electrical infrastructure safely and reliably. You will work alongside protection & controls engineers, designers, project managers, and clients to deliver integrated automation solutions across transmission, distribution, and industrial facilities.
Why Nexus

You’ll own a piece of what you build. Nexus is employee-owned through our ESOP, so the value you help create comes back to you — not just outside shareholders. We invest in early-career engineers and give them real work from the start.

What you can expect:

  • Employee ownership (ESOP) — build equity in the firm as it grows
  • Broad exposure across substation disciplines — physical design, P&C, studies, and field work — to help you find your path
  • Mentorship from senior engineers who review your work and help you grow
  • Full-service EPCm exposure, from concept through startup, across a diverse client base
  • Career paths that grow with you — toward technical leadership, project management, or discipline leadership
  • Flexible work arrangements where business needs allow
What You’ll Do
  • Design, configure, and support SCADA, RTU, HMI, and automation systems for utility and substation projects.
  • Develop SCADA architecture, communication diagrams, I/O lists, point databases, and system integration documentation.
  • Develop and review wiring diagrams, control schematics, communication drawings, and network layouts.
  • Coordinate with Protection & Controls engineers to integrate relay data, alarms, status points, and control functions into SCADA systems.
  • Support communication protocols such as DNP3, Modbus, IEC-61850, and Ethernet-based industrial networks.
  • Perform system testing, factory acceptance testing (FAT), site acceptance testing (SAT), and commissioning support.
  • Interface directly with clients, vendors, and project teams to define system requirements and resolve technical issues.
  • Assist with equipment specifications, procurement packages, technical evaluations, and construction support activities.
  • Participate in site visits, startup activities, troubleshooting efforts, and field investigations as required.
  • Ensure all deliverables meet client requirements, industry standards, and Nexus quality expectations.
What We’re Looking For
Required Qualifications
 
  • Bachelor's degree in Electrical Engineering, Electrical Engineering Technology, or related field.
  • 3+ years of SCADA, automation, controls, power delivery, utility, or industrial systems experience.
  • Experience with RTU configuration, control systems integration, or substation automation projects.
  • Experience interpreting electrical schematics, wiring diagrams, and communication drawings.
  • Knowledge of SCADA and communication protocols including DNP3, Modbus, IEC-61850, or similar.
  • Familiarity with substation automation systems, relays, RTUs, HMIs, and communication networks.
  • Experience with AutoCAD, AutoCAD Electrical, or equivalent design software.
  • Proficiency with Microsoft Office applications.
  • Strong troubleshooting, analytical, organizational, and communication skills.
  • Ability to work effectively in a team-oriented environment.
Preferred Qualifications
  • Engineer-in-Training (EIT) certification.
  • Professional Engineer (PE) license or progress toward licensure.
  • Experience with SEL RTACs, SEL relays, Schweitzer Engineering Laboratories equipment, GE, ABB, Siemens, or similar utility automation platforms.
  • Experience supporting transmission or distribution utility clients.
  • Experience with networking, cybersecurity, and industrial communication systems.
  • Commissioning or startup experience.
Work Environment & Physical Demands

Work is performed in a hybrid environment that includes office, remote, and active project-site settings. This role may require:

  • Prolonged periods of sitting and working at a computer workstation, with or without reasonable accommodation
  • Periodic travel to substations, construction sites, client facilities, and project locations
  • Site visits that may involve exposure to outdoor weather, energized electrical equipment, noise, heavy equipment, and active construction environments; appropriate PPE must be worn
  • The ability to walk uneven terrain, navigate outdoor substation yards, climb stairs, and access project-site areas, with or without reasonable accommodation

The posted salary range represents the anticipated base pay for this position in accordance with applicable pay-transparency requirements and may vary based on experience, qualifications, skills, certifications, work location, and market conditions.

In addition to base pay, eligible employees may receive:

  • Employee Stock Ownership Plan (ESOP) — an ownership stake and a share in the long-term success of Nexus
  • Medical, dental, and vision coverage, plus life and disability insurance
  • 401(k) with company match and discretionary bonus opportunities
  • Paid time off, holidays, and paid parental leave
  • Professional development and career advancement — training, certifications, licensure support, tuition assistance, and mentorship
  • Wellness benefits and a flexible schedule where business needs allow

About Nexus Engineering Group

Nexus Engineering Group, a distinguished independent full-service engineering, procurement, and construction management (EPCm) firm, provides comprehensive support to clients from concept through startup. With over a decade of demonstrated engineering and design success, Nexus stands out as the firm of choice for those valuing integrity and expertise.

At Nexus, you will be part of a talented and passionate team dedicated to excellence and innovation. We foster a collaborative and engaging work environment, making it a place where you’ll enjoy contributing to impactful projects. Joining Nexus means aligning with a firm renowned for its creativity, dedication, and relentless focus on achieving client goals.

Equal Opportunity Employer & Reasonable Accommodation

Nexus Engineering Group, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Nexus Engineering Group is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the application and hiring process. If you require an accommodation to participate in any part of the recruitment process, please contact us at careers@nexusegroup.com. 

Sponsorship & Work Authorization

Nexus Engineering Group does not provide employment visa sponsorship of any kind, including CPT, OPT, or employment-based visas. Candidates must be currently authorized to work in the United States and must be able to maintain that authorization throughout employment without any action, filing, or sponsorship by the company. This requirement applies both at the time of hire and on a continuing basis for the duration of employment. 

Third‑Party Agency Notice

Nexus Engineering Group does not accept unsolicited resumes or candidate submissions from external recruiters or agencies. We only engage approved third‑party partners under a written agreement initiated by our Talent Acquisition team for specific searches. Any resumes submitted without prior authorization or a current agreement will not be eligible for placement fees and will be considered the property of Nexus Engineering Group.

We may use AI tools to help our recruitment team review and organize applications. These tools support — but never replace — human judgment, and final hiring decisions are made by people. If you’d like to know more about how your data is handled, contact us at careers@nexusegroup.com.