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Entry Level Machine Learning Engineer Jobs in Fort Mill, SC

DPR Construction

MLOps Engineer

Charlotte, NC · On-site

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

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 ...

Apolis

Python Engineers

Charlotte, NC · On-site

$60/hr

JD- Python engineers in capital markets are responsible for developing, maintaining, and improving ... of machine learning techniques. • Ability to optimize code for high performance and low latency ...

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 ...

Epic

Software Engineer

Charlotte, NC · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Pwc

AML/Sanctions- Data Scientist- Associate

Charlotte, NC · On-site

$63K - $140K/yr

... machine learning, NLP, and LLMs in relevant projects - Contribute to team efforts while enhancing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AXS

Software Engineer

Charlotte, NC · On-site

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

New

AXS

Software Engineer

Charlotte, NC

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

New

Apex Systems

AI Engineer

Fort Mill, SC · On-site +1

$75 - $85/hr

A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial ...

TEKsystems

AI Engineer

Charlotte, NC

$65/hr

... Engineer with Master's degree in Computer science or AI or relevant field for development of ... machine learning models across multiple domains including NLP, information retrieval, entity ...

Infosys

Gen AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

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

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Entry Level Machine Learning Engineer information

See Fort Mill, SC salary details

$26.4K

$61K

$103.7K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for entry level machine learning engineer in Fort Mill, SC is $60,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $69,000.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
More about Entry Level 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 Entry Level Machine Learning Engineer jobs in Fort Mill, SC? For Entry Level Machine Learning Engineer jobs in Fort Mill, SC, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Fort Mill, SC look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Fort Mill, SC are:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Fort Mill, SC as of May 2026, with employment types broken down into 52% Full Time, 44% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $60,952 per year, or $29.3 per hour.
MLOps Engineer

MLOps Engineer

DPR Construction

Charlotte, NC • On-site

Full-time

Posted 4 days ago

DPR Construction rating

7.8

Company rating: 7.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

25th of 78 rated construction

Job description

Job DescriptionDPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives.
You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.

MLOps Engineer

DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency at all levels. We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering.

Position Overview

TheMLOps Engineerwill be instrumental inthe designand implementation of scalable, cloud-nativesolutions to meet the growing needs of ourData & Developmentteam.Thesuccessful candidatewill demonstrate the abilitytoabstract complexity andcreatereusable, scalable patternsthat accelerate development.The MLOps Engineerwilldesign, build and support the infrastructureand systemsthat enable our teams to deliver reliable, high-impactdata,workflows, and collaboratingclosely with data engineers, software developers, data scientists and product teams.

Responsibilities

  • Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning

  • Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection

  • Standardize observability practicesacross AI/ML and other development teamsincluding logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms

  • Design and deploy containerized MLworkloads,partnering withInfrastructureEngineering for cluster provisioning and governance

  • Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows

  • Implement AI-driven data validation, schema drift detection, and metadata management.

  • Establish governance frameworks for AI systems, including bias detection, explainability, and auditability

  • Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention

  • Collaborate withInfrastructureEngineering toautomate infrastructure provisioning

  • Act as a technical point of contact forDevOps andMLOps practices,developing reusable patterns, documentation, and proof-of-concepts to drive adoption

Qualifications

  • Bachelor's degree in Computer Science,Data Science,Information Systems, or a related field

  • 5+years of experience inDevOps, MLOps,Data Engineering,Software Engineeringor Site Reliability Engineering

  • Strong understanding of cloudinfrastructure and experience working with at least one major cloudprovider, preferably Azure

  • Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn

Required Skills

  • Experience with CI/CD processes and automation

  • Experience withInfrastructure as Codetoolssuch as Terraform,Bicep

  • Proficiencyincontainerized application deploymentsand container orchestration- experience with Kubernetes, especially AKS would be a huge plus

  • Experiencestanding up and managingobservability tools such as Datadog, Azure Monitor or GrafanaforAPM, LLM Opsand model performance monitoring

  • Experiencedeploying production-ready machine learning models

  • Experience withModel explainability (SHAP, LIME)or similar

  • Experience with cloud cost management and practices (e.g., Azure Cost Management, chargeback/show back models).

Nice to Have

  • Experience in Azure, particularly AKS,ACR, ARM,App Service, Azure Machine Learning and AI Foundry, Azure Monitor

  • Familiarity with semantic search, retrieval-augmented generation (RAG), or embedding pipelines

  • Exposure to managing and monitoring ML workloads that support generative AI or advanced analytics use cases

  • Proficiency with Snowflake

  • Experience with workflow orchestration platforms such as Apache Airflow, Argo Workflow, Prefect, etc.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.

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