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Remote Machine Learning Engineer Jobs in Cabot, AR

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

This position is remote and requires a Public Trust security clearance. Maximus TCS (Technology and ... Proactive approach to learning and obtaining higher-level Appian certifications. Preferred Skills ...

New

This position is remote and requires a Public Trust security clearance. Maximus TCS (Technology and ... Proactive approach to learning and obtaining higher-level Appian certifications. Preferred Skills ...

New

Statics Tutor

Conway, AR · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Showing results 1-20

Remote Machine Learning Engineer information

See Cabot, AR salary details

$26.8K

$109.7K

$164.8K

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

As of Jul 3, 2026, the average yearly pay for remote machine learning engineer in Cabot, AR is $109,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $132,000.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

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.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

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 is a Remote Machine Learning Engineer job?

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.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What cities near Cabot, AR are hiring for Remote Machine Learning Engineer jobs? Cities near Cabot, AR with the most Remote Machine Learning Engineer job openings:

Energy Engineer PE II

ENFRA LLC

Little Rock, AR • On-site, Remote

Full-time

Posted 4 days ago


Job description

At ENFRA, we blend a rich history with a forward-looking vision. With over 100 years of experience, we are a pillar of stability in the energy infrastructure industry and a leader in innovative energy solutions. Our commitment to leveraging emerging technologies ensures that we remain at the forefront of the Energy-as-a-Service sector.

We believe in growth—not just for our business, but for our people. Our team members have the opportunity to advance their careers in a supportive environment that values continuous learning and development. We embrace innovation and encourage creative problem solving to tackle the energy infrastructure and energy challenges of tomorrow.

Inclusion is at the heart of our culture. We strive to create a workplace where every voice is heard and valued, fostering a collaborative environment where diverse perspectives drive our success.

Join us to be part of a legacy of excellence and a future of groundbreaking advancements. At ENFRA, stability, innovation, and growth are more than just values—they are the pillars of our continued success.


The Energy Engineer PE II is responsible for standard engineering techniques to design, analyze, test, maintain, repair, or improve products, components, or assemblies. They are also responsible for the evaluation and optimization of energy consumption for commercial buildings and applicable systems.


  • Frequently interact with clients, contractors, and engineers to fulfill the essential duties and responsibilities of the position. This position may also include supervisory responsibilities.
  • Analyzes, develops and evaluates systems.
  • Improves and maintains current systems or creates brand new projects.
  • Designs and drafts blueprints, visits systems in the field and manages projects.
  • Applies engineering techniques and analyses within the scope of the assignment.
  • Energy Procurement and Analytic
    • Collect, compile, organize, and analyze utility consumption data and rates.
    • Develop a comprehensive understanding of utility supply-side opportunities.
    • Develop a comprehensive understanding of utility procurement logistics.
    • Develop a comprehensive understanding of possible utility energy efficiency rebate and incentive programs.
    • Research utility rate changes and deregulated energy cost trends.
    • Conduct energy benchmarks using internal and external tools such as EPA Energy Star.
    • Review utility invoices for errors and work to resolve the errors with the utility.
    • Create utility budgets.
  • Energy Auditing
    • Collect, review, and analyze data from field surveys and utility data.
    • Develop a thorough understanding of existing building and its MEP systems.
    • Identify and evaluate improvements for energy or cost reductions.
    • Develop associated technical reports.
  • Measurement and Verification
    • Develop and Implement IPVMP - Adherent Measurement and Verification (M&V) Plans.
    • Develop energy consumption baselines and adjustments through regression analysis and other appropriate methods.
    • Coordinate with clients, utility representatives, energy analysts, engineers, construction managers, and commission agents during all appropriate project stages to assist in the design and implementation of M&V plans for continuous monitoring of energy and water performance.
    • Review design documents, M&E specifications, and shop drawings of applicable metering systems to confirm all M&V requirements are met.
    • Verify utility performance of facilities and validate savings.
    • Review and analyze energy performance including data collection, utility bill accounting, sub-metering data analysis, and utility cost analysis.
    • Create, maintain, and distribute M&V dashboards and reports through multiple software platforms.
  • Remote Monitoring
    • Collect and evaluate energy, weather, and building automation data on some periodic basis.
    • Review data and identify facility operational issues affecting energy consumption, comfort, and/or code compliance.
    • Develop recommendations to address any identified operational issues.
    • Prepare reports for project stakeholders summarizing all discoveries.
  • Energy Modeling
    • Develop engineering-based energy models to simulate existing and proposed operations of buildings or systems.
    • Work collaboratively with team members to identify and evaluate scope of potential improvements.
    • Develop life cycle cost analyses and other engineering economic analyses.
    • Develop supporting documentation on engineering calculations, methodologies, etc. as required.
  • Other
    • Uphold the Company owner advocacy philosophy, mission, and core values.
    • Perform the assigned duties with minimal supervision, while working in a team problem-solving environment.
    • Develop technical reports or related documents.
    • Mentor and train Energy Analysts, Senior Energy Analysts, and Energy Engineers as required.
    • Manage the day-to-day activities of Energy Analysts, Senior Energy Analysts, or Energy Engineers that may be under your direct supervision.
    • #LI-OL1

Required Education, Experience, and Qualifications
  • Bachelor's Degree in Engineering.
  • 7+ Years of Experience in a related field.
  • Advanced knowledge of commercial HVAC systems.
  • Experience with energy savings projects.
  • Experience with life cycle cost analyses.
  • Experience in analyzing utility data.
  • At least 1 of the following: CEM, CMVP, CEP, CEA, EEP, or BEP certifications through the Association of Energy Engineers or equivalent.
  • Registered Professional Engineer.
  • Advanced Microsoft Excel skills and proficiency in other Microsoft applications.
  • Performs work under minimal supervision.
  • Handles complex issues and problems, and refers only the most complex issues to higher-level staff.
  • Possesses comprehensive knowledge of subject matter.
  • Provides leadership, coaching, and/or mentoring to a subordinate group.
  • May act as a lead or first-level supervisor.
  • Critical thinking skills.
  • Problem solving skills.
  • Mathematic skills.
  • Computer skills.
  • Technical expertise.
  • Leadership skills.
  • Effective verbal and written communication skills.
  • Detail-oriented and willing to tackle various ongoing projects in a fast-paced environment.
  • Versed in the industry and the Company's competitors.
  • Ability to multitask and perform duties outside of the scope of work when necessary.
Preferred Education, Experience, and Qualifications
  • Experience with energy modeling software.
  • Experience with building automation systems.
  • Experience with energy efficiency programs.
  • Experience in managing teams and people.
  • Experience with data analytics tools such as Microsoft Power BI, Python, Tableau, Jupyter Notebook, or R.
  • Strong organizational skills.
Travel Requirements
  • 10% of time will be spent traveling to job site(s)/office location.
Physical/Work Environment Requirements
  • Prolonged periods of sitting at a desk and working on a computer.
  • Climbing stairs.
  • Remaining in a stationary position, often kneeling, standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands and/or fingers.
  • Quiet environment.
  • Light work that includes adjusting and/or moving objects up to 20 pounds.
  • #LI-OL1

ENFRA is proud to be an Equal Opportunity Employer of Minorities, Women, Protected Veterans, and Individuals with Disabilities, and participates in the e-Verify program. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, age, sexual orientation, gender identity, national origin, veteran status, disability, or any other classification protected by law.