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Remote Machine Learning Jobs in Davidson, NC (NOW HIRING)

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

We're exploring how AI and machine learning can help maintenance teams predict equipment failures ... Comfortable working in a fully remote environment and collaborating with teammates across multiple ...

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

We're exploring how AI and machine learning can help maintenance teams predict equipment failures ... Comfortable working in a fully remote environment and collaborating with teammates across multiple ...

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Senior Data Engineer

Charlotte, NC · On-site +1

$103K - $140K/yr

... power machine learning and AI at enterprise scale. The ideal candidate is passionate about ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

AI Technical Specialist

Concord, NC · Remote

$119K - $140K/yr

You will use your technical expertise in AI and machine learning to support the assessment of AI ... LI-REMOTE #LI-MS1 About Us BSI is a business improvement and standards company and for over a ...

AI Technical Specialist

Concord, NC · Remote

$119K - $140K/yr

You will use your technical expertise in AI and machine learning to support the assessment of AI ... LI-REMOTE #LI-MS1 About Us BSI is a business improvement and standards company and for over a ...

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 ...

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Remote Machine Learning information

See Davidson, NC salary details

$23.6K

$39.4K

$81.4K

How much do remote machine learning jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote machine learning in Davidson, NC is $39,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Davidson, NC?

The most popular types of Machine Learning jobs in Davidson, NC are:

What are popular job titles related to Remote Machine Learning jobs in Davidson, NC?

For Remote Machine Learning jobs in Davidson, NC, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Davidson, NC look for?

The top searched job categories for Remote Machine Learning jobs in Davidson, NC are:

What cities near Davidson, NC are hiring for Remote Machine Learning jobs?

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

Infographic showing various Remote Machine Learning job openings in Davidson, NC as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $39,412 per year, or $18.9 per hour.

Applied Machine Learning Engineer (All Levels)

Concord, NC • On-site, Remote


Allstate
Insurance Services • 10K+ employees

7.4

Company rating: 7.4 out of 10

Based on 568 frontline employees who took The Breakroom Quiz

232nd of 311 rated insurance

People enjoy working here

Good employer

Recommended by parents


Full-time

Re-posted yesterday


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.

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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.


Allstate Insurance logo

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


What Allstate Insurance employees say

Pay

Benefits

Hours and flexibility

Workplace

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