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Remote Machine Learning Engineer Jobs in Palm City, FL

Qualus

Senior Engineer - Distribution

Palm Beach Gardens, FL · On-site +1

$98K - $135K/yr

As a Senior Distribution Engineer, you will provide technical leadership for electric utility distribution projects, including system expansion, resiliency, and infrastructure improvement initiatives.

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Remote Machine Learning Engineer information

See Palm City, FL salary details

$27.8K

$113.7K

$170.8K

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

As of Sep 9, 2026, the average yearly pay for remote machine learning engineer in Palm City, FL is $113,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $136,800.00 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 cities near Palm City, FL are hiring for Remote Machine Learning Engineer jobs?

Cities near Palm City, FL 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 Palm City, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $113,665 per year, or $54.6 per hour.

Senior Engineer - Distribution

Palm Beach Gardens, FL • On-site, Remote

Qualus
501 - 1,000 employees
Learn more about Qualusexternal

$98K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Key responsibilities

  • Provide technical leadership and engineering expertise for overhead and underground electrical distribution system projects.

  • Develop and oversee engineering design packages using client-specific software and design tools, including Distribution Design Studio, Pole Foreman, BOUD, Maximo, and/or AutoCAD.

  • Perform QA/QC reviews of engineering and design deliverables to ensure technical accuracy, quality, consistency, and compliance with project requirements.

Qualus rating

9.3

Company rating: 9.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

26th of 454 rated engineering

Job description

Position OverviewPower your Future with Qualus as a Senior Distribution Engineer in our Distribution Department. As a Senior Distribution Engineer, you will provide technical leadership for electric utility distribution projects, including system expansion, resiliency, and infrastructure improvement initiatives. You will develop and review engineering designs using Pole Foreman, BOUD, Maximo, and/or AutoCAD, while ensuring compliance with utility standards and regulatory requirements. The successful candidate will perform QA/QC reviews, mentor junior engineers and designers, and collaborate with clients and project teams to deliver safe, reliable, and cost-effective solutions.Responsibilities

  • Provide technical leadership and engineering expertise for overhead and underground electrical distribution system projects.

  • Apply client standards, industry best practices, and regulatory requirements to the design and execution of distribution projects.
  • Support project execution by managing assignments, monitoring performance, resolving technical issues, and maintaining strong client relationships.
  • Develop and oversee engineering design packages using client-specific software and design tools, including Distribution Design Studio, Pole Foreman, BOUD, Maximo, and/or AutoCAD.
  • Perform QA/QC reviews of engineering and design deliverables to ensure technical accuracy, quality, consistency, and compliance with project requirements.
  • Mentor and provide technical guidance to junior engineers and designers through training, design reviews, and knowledge sharing.
  • Communicate effectively with internal teams, clients, contractors, and regulatory agencies to support successful project delivery.
  • Identify opportunities to improve engineering processes, design standards, team performance, and technical capabilities.
  • Maintain productivity and adaptability in a fast-paced, evolving work environment.
Minimum Qualifications
  • Bachelor's degree in Engineering (Electrical, Mechanical, Civil, or related discipline) from an ABET-accredited institution.
  • 8+ years of experience in electric utility distribution engineering and design.
  • Experience designing and supporting overhead and underground distribution systems.
  • Knowledge of utility distribution standards, NESC requirements, and utility construction practices.
  • Proficiency with utility design and work management software, including Pole Foreman, Maximo, BOUD, DDS, AutoCAD, MicroStation, or similar platforms.
  • Proficiency with Microsoft Office applications.
  • Experience preparing, reviewing, and coordinating engineering design packages and construction work orders.
  • Strong communication, interpersonal, and client relationship management skills.
  • Ability to manage multiple projects, priorities, and deadlines in a fast-paced environment.
  • Excellent organizational, document management, and attention-to-detail skills.
  • Demonstrated ability to perform technical reviews and ensure quality, accuracy, and compliance of engineering deliverables.
  • Experience mentoring and providing technical guidance to engineers, designers, and technical staff.

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Benefits & Compensation

Qualus benefits offered include Medical, Dental, Vision, Life Insurance, Short and Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Parental Leave, Paid time off, and Holidays, for those who qualify.

The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. The salary range provided in this job posting may be subject to change for business purposes.

Company Overview

Qualus is a leading pure-play power solutions firm and innovator at the forefront of power infrastructure transformation, with differentiated capabilities across grid modernization, resiliency, security, and sustainability. The firm partners with utilities, commercial, industrial, data center, and government clients, and renewable and energy storage developers, offering comprehensive solutions through boutique and integrated advisory, planning, engineering, digital solutions, program management, and specialized field services. Qualus also provides software and technology enabled services and develops breakthrough solutions for critical power industry challenges such as distributed and variable resource integration, emergency management, and secure data exchange. The firm has over 1,800 professionals, with offices throughout the U.S. and Canada.

Equal Opportunity Employer

We are an equal opportunity employer and value diversity. We are committed to providing an inclusive workplace and do not discriminate on any grounds protected by applicable human rights legislation across Canada and the US.

Employment Type: FULL_TIME

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