Machine Learning Jobs in Charlotte, NC
Machine Learning jobs in Charlotte are concentrated in SouthPark, Uptown, and the University City corridor, driven by demand in financial services, healthcare tech, and enterprise software. NTT DATA, Coca-Cola Consolidated, and KIPP Schools are among the employers actively posting right now. Scan the live roles below and apply to whichever ones fit.
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Position Overview
KIPP North Carolina is seeking a student-centered Multilingual Learner (ML) Teacher to provide high-quality English language development instruction and support multilingual learners in accessing rigorous grade-level content.
The ML Teacher works collaboratively with classroom teachers, school leaders, families, and regional Student Support staff to support students' English language development and academic success.
Key Responsibilities
- Provide direct English language development instruction to multilingual learners through push-in, pull-out, small-group, and/or co-teaching models.
- Plan and deliver instruction aligned to the North Carolina English Language Development Standards and grade-level academic standards.
- Use students' English language proficiency and academic data to differentiate instruction and monitor progress.
- Support students in developing academic language across speaking, listening, reading, and writing.
- Collaborate with general education teachers to provide appropriate scaffolds and supports within grade-level instruction.
- Support implementation of language objectives, vocabulary development, sentence frames, oral rehearsal, modeling, visual supports, and other research-based practices.
- Administer or support required English language proficiency screening and annual assessments.
- Maintain accurate ML student records, service documentation, schedules, and progress-monitoring data.
- Support required student identification, monitoring, and exit procedures.
- Communicate and collaborate with multilingual learners' families in a culturally responsive and accessible manner.
- Participate in school and regional professional development, collaborative planning, and ML program implementation.
- Ensure ML services are provided in accordance with federal, state, and KIPP North Carolina requirements.
- Perform other duties as assigned in support of students, the school, and organizational priorities.
Qualifications
Required
- Bachelor's degree from an accredited college or university.
- Valid North Carolina teaching license or eligibility for North Carolina licensure.
- Strong instructional, communication, collaboration, and organizational skills.
- Ability to support students from diverse academic, linguistic, and cultural backgrounds.
Preferred
- North Carolina ESL licensure or eligibility for ESL licensure.
- Experience teaching multilingual learners.
- Knowledge of the NC ELD Standards and WIDA framework.
- Experience with co-teaching, small-group instruction, and language-development strategies.
Additional Information
This position may support multilingual learners across more than one KIPP North Carolina school within the same geographic area based on student enrollment and program needs. Specific school assignments and schedules will be discussed during the interview process.
- Hours are M, Th, & F 7:30am - 3:30, Tu & W 7:30 - 5pm
- Curriculum, materials, and resources are provided
- All teachers receive a stipend for their classroom so they don’t incur out-of-pocket costs
- Each month teachers have Teacher Work Days that include professional development, data analysis, and other important information to push their students’ learning forward
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Who's Hiring



Top Industries Hiring
- Technology & Software
Machine Learning Jobs in Charlotte: Frequently Asked Questions
How do I get a machine learning job in Charlotte?
Target Charlotte's strongest hiring sectors: financial services firms clustered in Uptown and SouthPark, health systems like Atrium Health and Novant Health, and the growing technology and logistics companies along the I-85 corridor. Candidates who combine strong Python and model deployment skills with experience in regulated industries, particularly finance or healthcare, stand out in the Charlotte market. Networking through local data science meetups and the Charlotte tech community adds a meaningful edge.
Which companies hire machine learnings in Charlotte?
Charlotte machine learning roles are posted by NTT DATA, Coca-Cola Consolidated, and KIPP Schools and others right now, based on current listings on Migrate Mate as of September 2026. Charlotte's employer mix skews toward large financial institutions, regional health systems, and mid-size technology and analytics firms that have expanded their data science teams as the city has grown.
Are there remote machine learning jobs in Charlotte?
Yes, though it varies by role type. Analytical and research-oriented machine learning positions tend to be highly remote-compatible, while roles tied to on-site data infrastructure or embedded systems are typically in-person. About 74% of machine learning openings tied to Charlotte are remote or hybrid as of September 2026. Model development, data pipeline work, and MLOps roles are the most commonly listed as remote or hybrid in the Charlotte market.
How can I get a machine learning job in Charlotte with little or no experience?
The most realistic entry path in Charlotte is through data analyst or junior data scientist roles at financial services firms or health systems, which frequently hire candidates with strong foundational skills and are willing to develop talent internally. Building a portfolio with projects relevant to finance or healthcare data, pursuing coursework through UNC Charlotte's data science programs, and contributing to open-source projects gives entry-level candidates a concrete edge in local hiring conversations.
Which industries hire the most machine learnings in Charlotte?
Charlotte machine learning roles concentrate in Technology & Software, based on current listings on Migrate Mate as of September 2026. Charlotte's position as a major U.S. banking hub, combined with its large health system presence and expanding logistics sector, drives consistent demand for machine learning talent across those industries.
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