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Remote Machine Learning Engineer Jobs in Hickory, NC

Vestas Wind Systems

L1 Troubleshooter Madrid

Crouse, NC · On-site +1

... Remote Operations Engineer at the Madrid ROC, you will be part of the strategic core ensuring the ... You will use advanced SCADA and SAP tools to diagnose why a multi-million euro machine has stopped.

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Hickory, NC

Remote Machine Learning Engineer information

See Hickory, NC salary details

$28.2K

$115.3K

$173.2K

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

As of Sep 14, 2026, the average yearly pay for remote machine learning engineer in Hickory, NC is $115,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $138,800.00 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 Hickory, NC are hiring for Remote Machine Learning Engineer jobs?

Cities near Hickory, NC with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you

L1 Troubleshooter Madrid

Crouse, NC • On-site, Remote

Vestas Wind Systems
See more jobs at Vestas Wind Systemsexternal

Full-time

Medical, Life, PTO

Re-posted 10 days ago

Key responsibilities

  • Monitor wind turbine performance in real-time using SCADA and SAP tools to diagnose issues.

  • Manage communications with customers and field technicians during urgent incidents.

  • Maintain high standards of data accuracy and KPI tracking in a 24/7 environment.

Job description

Vestas Eolica, S.A.U.  > Service > Global Service Operations > Remote Operations Center EMEA 

As a Remote Operations Engineer at the Madrid ROC, you will be part of the strategic core ensuring the global availability of our wind turbine fleet. This high-level technical position focuses on real-time monitoring, advanced diagnostics, and remote incident resolution, directly affecting performance optimization and the reduction of the cost of energy.

What You Will Do

  • As part of our 24/7 Monitoring Team, your role is built upon three strategic pillars:
  • The Technical "Problem Solver": You will use advanced SCADA and SAP tools to diagnose why a multi-million euro machine has stopped. Your role is to determine with precision whether you can fix the issue with a single click from Madrid or if a technician must be dispatched to the field
  • The Effective Communicator: You will manage communications with customers and field technicians during urgent incidents. You demonstrate the ability to translate complex technical problems into simple, professional solutions via both phone and email
  • Operational Resilience: In a 24/7 environment, your responsibility is paramount. You will maintain high standards and attention to detail-especially during night shifts-remaining consistently meticulous with data and Key Performance Indicators (KPIs)

What we are looking for

  • At Vestas, demonstrated real-world experience and effective problem-solving count more than formal degrees. We are looking for technicians who know the field and want to take their careers to the next digital level:
  • Experience: Minimum 1 year in the Wind Industry (specifically as a Field Technician or in Control Centers). Direct experience with Vestas Turbines is especially valuable
  • Alternative Experience: In the absence of wind industry experience, at least 3 years of demonstrable experience in complex hydraulic, electrical, or mechanical systems is required
  • Education: Bachelor's Degree in Engineering (Electrical, Electronics, Mechanical, Energy) or Technical Associate Degree (FP Superior) in Electronics, Automation, Robotics, or Renewables
  • Languages: Intermediate English (B1/B2). You are fluent enough to respond to technical emails and handle emergency calls in an international environment
  • IT Proficient: Proficiency with diagnostic tools; prior use of SCADA and SAP is highly valued
  • Availability: Ability to work in a 24/7 rotating shift system (including nights and weekends)

What We Offer

Unique Hybrid Flexibility: Office-based in Madrid during standard shifts, with the opportunity to work from home during night shifts and weekends

Stability: A Madrid-based role with travel requirements only on a very occasional basis

Career Growth: An opportunity to shift from field-based work to directing operational strategy at a global control center

Vestas Benefits: Salary commensurate with experience, health insurance, life insurance, Paid Time Off (PTO), and meal allowance (cheque gourmet)

Performance Bonus: An annual 5% bonus tied to meeting Vestas' corporate objectives

At Vestas, we believe that diversity makes us stronger. If you have a disability and are interested in this opportunity, we would be happy to get to know you and adapt the selection process to your needs.

Our commitment to a fair hiring.

 At Vestas, we evaluate all candidates solely based on their professional experience, education, and relevant skills. To support a fair recruitment process, we kindly ask that you remove any photos, dates of birth or graduation, gender pronouns, marital status, or other personal information not relevant to the role before submitting your CV/resume. Your CV/resume should focus on your professional and educational background, along with the necessary contact details (email and phone number). We train our hiring teams in inclusive evaluation and regularly review process outcomes to ensure fairness.

DEIB Statement

 
At Vestas, we recognize the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, "Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry". Your unique perspective is what will help us powering the solution for a sustainable, green energy future.

BEWARE - RECRUITMENT FRAUD

 
It has come to our attention that there are a number of fraudulent emails from people pretending to work for Vestas. Read more via this link, https://www.vestas.com/en/careers/our-recruitment-process

About Vestas

 
Vestas is the energy industry's global partner on sustainable energy solutions. We are specialised in designing, manufacturing, installing, and servicing wind turbines, both onshore and offshore. 
Across the globe, we have installed more wind power than anyone else. We consider ourselves pioneers within the industry, as we continuously aim to design new solutions and technologies to create a more sustainable future for all of us. With more than 200 GW of wind power installed worldwide and 40+ years of experience in wind energy, we have an unmatched track record demonstrating our expertise within the field. 
With 39,000 employees globally, we are a diverse team united by a common goal: to power the solution - today, tomorrow, and far into the future. 
Vestas promotes a diverse workforce which embraces all social identities and is free of any discrimination. We commit to create and sustain an environment that acknowledges and harvests different experiences, skills, and perspectives. We also aim to give everyone equal access to opportunity. 
To learn more about our company and life at Vestas, we invite you to visit our website at www.vestas.com and follow us on our social media channels. We also encourage you to join our Talent Universe to receive notifications on new and relevant postings. 

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