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Remote Machine Learning Engineer Jobs in Sherrills Ford, NC

Teladoc

Senior Machine Learning Scientist

Concord, NC · On-site +1

In this role, you will partner with Product, Engineering, Clinical,Operations, Marketing and Data ... This information is applicable for all full-time positions. #LI-SS2 #LI-Remote We follow a Flexible ...

Varsity Tutors

Machine Learning Tutor

Charlotte, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

EVB

Software Developer

Concord, NC · Remote

Remote USA based About the hiring company: Our client is a rapidly growing, venture-backed AI ... By combining world-class human expertise with advanced machine learning workflows, they enable ...

Allstate

Senior Data Engineer Con II

Concord, NC · On-site +1

$98K - $134K/yr

Experience supporting analytical, reporting, or machine learning use cases. Supervisory ... Skills Apache Spark, Data Engineering, Python (Programming Language), Structured Query Language ...

Limble

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

We're exploring how AI and machine learning can help maintenance teams predict equipment failures ... Partnering with engineering, design, and other product managers throughout the full product ...

Genesys

Staff AI Platform Engineer

Concord, NC · Remote

Note this position is remote US based in EST or CST About The Role AI capabilities at Genesys power ... Familiarity with machine learning and MLOps concepts, including model lifecycle management, data ...

ICF

Substation Physical Engineer - REMOTE

Charlotte, NC · Remote

$96K - $122K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... You enjoy taking on new responsibilities and learning new skill sets whenever needed. What you will ...

ICF

Senior Transmission Line Engineer - REMOTE

Charlotte, NC · Remote

$102K - $140K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Committed to continuous learning and process improvement, consistently seeking opportunities to ...

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Remote Machine Learning Engineer information

See Sherrills Ford, NC salary details

$28K

$114.5K

$172K

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

As of Aug 30, 2026, the average yearly pay for remote machine learning engineer in Sherrills Ford, NC is $114,467.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $137,800.00 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 Sherrills Ford, NC are hiring for Remote Machine Learning Engineer jobs?

Cities near Sherrills Ford, NC 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 Sherrills Ford, NC as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $114,467 per year, or $55 per hour.

Applied Machine Learning Engineer (All Levels)

Allstate

Concord, NC • On-site, Remote

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Allstate Insurance rating

7.4

Company rating: 7.4 out of 10

Based on 568 frontline employees who took The Breakroom Quiz

234th of 315 rated insurance

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. Our mission is to harness cutting-edge technology, innovative product design, and the power of artificial intelligence to create a worldclass customer experience. We aim to redefine the customer experience, ensuring consistency and operational efficiency across all touchpoints and channels.
Become a part of our story.
At Allstate Technology Solutions, you'll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what's possible. The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery.
About the Role
As a Machine Learning Engineer at Allstate, you will design, build, and operate machine-learning models that deliver real business impact. You'll work across the full ML lifecycle-including data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement. Our team emphasizes pair programming and test-driven development to ensure high-quality, reliable solutions.
What You'll Do (Responsibilities Vary by Level)
Entry-Level (Consultant II): Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices.
Mid-Level (Senior Consultant I): Build and deploy production ML models, own key components of ML projects, and partner with cross-functional teams.
Senior-Level (Senior Consultant II): Lead end-to-end ML initiatives, architect ML pipelines, mentor junior engineers, and influence technical direction.

Education

Bachelor's degree (STEM preferred).

Experience

Entry-Level: 0-2 years (academic, internship, or professional).

Mid-Level: 3+ years building ML solutions.

Senior-Level: 3+ years deploying and operating ML systems.

Technical Skills

Python (pandas,numpy, scikit-learn) and software engineering foundations.

ML libraries:

-Experience with libraries such as scikit-learn,XGBoost,LightGBMrequired.

-Experience withPyTorch/TensorFlowisa plus.

SQL for data exploration and feature engineering.

Knowledge of model evaluation and interpretability (e.g., SHAP).

Willingness to learn Terraform, Java, and Typescript (no prior experiencerequired).

Soft Skills

Strong communicationand collaboration abilities.

Ability to work with technical and non-technical partners.

Leadership and mentoring experience for senior roles.

Preferred Qualifications

Spark or distributed computing.

Familiarity with APIs, containers, CI/CD, monitoring, drift detection.

MLflow, SageMaker, Azure ML, Docker, CI/CD.

AWS, Azure, or GCP cloud experience.

Experience with deep learning, NLP, computer vision, or LLM/RAG.

Prior ownership of end-to-end ML products.

Insurance or financial services experience.

#LI-PG1

Skills

Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Model Building, Model Development, Model Evaluation, Python (Programming Language), PyTorch, Structured Query Language (SQL), Tensorflow

Compensation

Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.


For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the "EEO Know Your Rights" poster click "here". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click "here". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

What Allstate Insurance employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Allstate Insurance

Sourced by ZipRecruiter

We're a purpose-driven company powered by purpose-driven people. We're reinventing protection and transforming the company for our customers, communities and each other. You could play a role in our transformation. Join a 90-year-old, Fortune 100 insurance company as we challenge the status quo, champion inclusion and strengthen our communities. If being a part of that future gives you goosebumps, you've come to the right place. Reinventing the future of protection means rethinking how we work together. From marketing to claims, our employees have flexibility in how, when and where they work — whether at home, the office or both. We're creating an inclusive, diverse and equitable workplace. We encourage collaboration, support taking chances and foster a strong sense of community. Let's build a new kind of Allstate together.

Industry

Insurance services, real estate, finance and insurance and insurance agencies and brokerages

Company size

10,000+ Employees

Headquarters location

Northbrook, IL, US

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