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Machine Learning Engineer Jobs in Fort Mill, SC (NOW HIRING)

USM

JB061726 - AI Developer

Charlotte, NC · On-site

Skills AI Developer Visa Types Green Card, US Citiz.. Title: AI Developer Job Type: Contract ... The ideal candidate will have experience with machine learning, generative AI, and software ...

The Hartford

Staff Software Engineer - AI

Charlotte, NC · On-site

$127K - $191K/yr

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... Design and develop machine learning techniques that allow agents to learn from experience and adapt ...

Pwc

NGA AI Engineer Manager

Charlotte, NC · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Lorven Technologies

Python Developer AI/ML

Charlotte, NC · On-site

$49 - $67.75/hr

In this role, you will work closely with Senior Engineers, leads, and product teams to design scalable machine learning pipelines, optimize model performance, and deliver production ready AI ...

Pwc

NGA AI Engineer Senior Manager

Charlotte, NC

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

ContractStaffingRecruiters.com

Be Seen First

Platform Cloud Engineer - REMOTE

Charlotte, NC · Remote

$70 - $80/hr

Platform Cloud Engineer This role is a senior technical leadership position responsible for integrating and delivering production-grade AI, machine learning, and data capabilities. The position ...

New

ApTask

Gen AI Engineer

Charlotte, NC · On-site

Required : • Deep understanding of AI, machine learning, and software engineering principles. • Strong foundation in writing maintainable, testable, and modular code. • Design, develop, and ...

New

Infosys

Gen AI Engineer

Charlotte, NC · On-site

... machine learning techniques and collaborate with technology teams to operationalize them into ... engineering & prompt chaining • Conversational AI design patterns • Strong Programming ...

Judge Group, Inc.

Software Engineer

Charlotte, NC · On-site

$69 - $74/hr

Deploy and integrate machine learning models using Vertex AI and other Google Cloud Platform AI services * Collaborate with data scientists, analysts, and engineering teams to deliver end-to-end data ...

Adidev Technologies

Civil Engineer

Matthews, NC · Hybrid

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Adidev Technologies Inc

Civil Engineer

Matthews, NC · On-site

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Adidev Technologies Inc

Civil Engineer

Charlotte, NC · Hybrid

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Infosys

Gen AI Engineer

Charlotte, NC · On-site

... machine learning techniques and collaborate with technology teams to operationalize them into ... engineering & prompt chaining • Conversational AI design patterns • Strong programming ...

Scout Motors

Lead, AI Engineering

Charlotte, NC · On-site

$100K - $131K/yr

Developing machine learning and generative AI solutions that solve high-impact business problems ... Partnering with product, engineering, data, and business teams to identify and prioritize AI use ...

Adidev Technologies Inc

Civil Engineer

Matthews, NC · On-site

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Programmers.io

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

· Cloud & Data Engineer with hands-on experience deploying and administering Azure resources ... Azure Machine Learning (AML), MCP servers, and enterprise AI Search integration for production ...

Tror AI for everyone

Software Engineer

Charlotte, NC · On-site

Job Position: - Senior Software Engineer Job Location: - Charlotte, NC (100% onsite) Job Type ... Conceptual understanding of machine learning fundamentals and model telemetry. Additional Skills

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Fort Mill, SC

Machine Learning Engineer information

See Fort Mill, SC salary details

$27.7K

$113.2K

$170K

How much do machine learning engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning engineer in Fort Mill, SC is $113,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $136,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Fort Mill, SC? The most popular types of Machine Learning Engineer jobs in Fort Mill, SC are:
What are popular job titles related to Machine Learning Engineer jobs in Fort Mill, SC? For Machine Learning Engineer jobs in Fort Mill, SC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Fort Mill, SC look for? The top searched job categories for Machine Learning Engineer jobs in Fort Mill, SC are:
What cities near Fort Mill, SC are hiring for Machine Learning Engineer jobs? Cities near Fort Mill, SC with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Fort Mill, SC as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $113,156 per year, or $54.4 per hour.
JB061726 - AI Developer

JB061726 - AI Developer

USM

Charlotte, NC • On-site

Contractor

Posted 16 days ago

Job description

  • Start Date: Interview Types
  • Skills AI Developer Visa Types Green Card, US Citiz..

    • Title: AI Developer
    Job Type: Contract
    Location: (Charlotte, NC or Plano, TX)
    Job Summary
    We are seeking an AI Developer to design, develop, and deploy AI-powered applications. The ideal candidate will have experience with machine learning, generative AI, and software development, and will be responsible for integrating AI solutions into business products and workflows.
    Key Responsibilities
    • Develop and maintain AI-powered applications and services.
    • Integrate Large Language Models (LLMs) and AI APIs into web and mobile applications.
    • Build and optimize prompts, workflows, and AI agents.
    • Develop Retrieval-Augmented Generation (RAG) systems using vector databases.
    • Collaborate with product managers, designers, and software engineers to deliver AI features.
    • Fine-tune and evaluate machine learning models when required.
    • Implement testing, monitoring, and performance optimization for AI applications.
    • Ensure security, privacy, and responsible AI practices.
    • Document technical designs and development processes.

    Apply