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

... junior staff * Master's degree from a science, technology, engineering, or mathematics-designated program * One or more certifications in artificial intelligence, machine learning, Amazon Web ...

Senior Data Engineer

Charlotte, NC · On-site

$80K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Mentor junior data engineers and support technical knowledge sharing across project teams ... Experience with machine learning data pipelines and AI-enabled solutions. * Previous consulting or ...

Senior Data Engineer

Charlotte, NC · On-site

$80K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Mentor junior data engineers and support technical knowledge sharing across project teams ... Experience with machine learning data pipelines and AI-enabled solutions. * Previous consulting or ...

Cyber Manager - AI SOC

Charlotte, NC · On-site

$108K - $146K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to ... Mentoring junior practitioners and contributing reusable engineering assets, accelerators, and ...

Software Engineer

Charlotte, NC · On-site

$69 - $74/hr

Mentor junior engineers and promote engineering best practices. * Lead technical design discussions ... deploying machine learning or Generative AI solutions in production environments. * Hands-on ...

Lead AI Engineer - AI Platform

Charlotte, NC · On-site

$100K - $131K/yr

  • Retirement

... of advanced machine learning (ML) models, including deep learning (DL) frameworks and large ... Mentors and guides junior team members to ensure a seamless integration of AI models into the ...

... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ... Contribute to practice growth through knowledge sharing, coaching junior practitioners, internal ...

... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ... Contribute to practice growth through knowledge sharing, coaching junior practitioners, internal ...

Decision Scientist II

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning, in pursuit of business optimization and impact. 3. Pursue business outcomes ... LOB contributors and junior-level managers. QUALIFICATIONS Required Qualifications: The ...

Decision Scientist II

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning, in pursuit of business optimization and impact. 3. Pursue business outcomes ... LOB contributors and junior-level managers. QUALIFICATIONS Required Qualifications: The ...

Senior Consultant - SAP EWM

Charlotte, NC · On-site

$61.50 - $84/hr

... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ... Contribute to practice growth through knowledge sharing, coaching junior practitioners, internal ...

Senior Consultant - SAP SD/OTC

Charlotte, NC · On-site

$61.50 - $84/hr

... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ... Contribute to practice growth through knowledge sharing, coaching junior practitioners, internal ...

Decision Scientist II

Charlotte, NC · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... including machine learning, in pursuit of business optimization and impact. * Pursue business ... LOB contributors and junior-level managers. QUALIFICATIONS Required Qualifications: The ...

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Junior Machine Learning information

See Fort Mill, SC salary details

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How much do junior machine learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for junior machine learning in Fort Mill, SC is $23.69, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $29.13 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Fort Mill, SC?

The most popular types of Machine Learning jobs in Fort Mill, SC are:

What are popular job titles related to Junior Machine Learning jobs in Fort Mill, SC?

For Junior Machine Learning jobs in Fort Mill, SC, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Fort Mill, SC look for?

The top searched job categories for Junior Machine Learning jobs in Fort Mill, SC are:

Infographic showing various Junior Machine Learning job openings in Fort Mill, SC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $49,270 per year, or $23.7 per hour.

Finance Analytics & AI Manager

Deloitte

Charlotte, NC • On-site

Full-time

Re-posted 11 hours ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 09/14/2026.

Work you'll do

As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Managers are expected to contribute to the firm's growth and development in a variety of ways.

  • Leading small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises
  • Engaging clients to identify business issues and high-impact AI use cases, shaping hypotheses and value cases
  • Performing assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods
  • Defining scope, objectives, requirements, and delivery plans; managing solution architecture planning through execution, delivery, and post-implementation review
  • Overseeing AI solution development and deployment, managing day-to-day client relationships, and ensuring quality and performance outcomes
  • Contributing to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights.

Qualifications

Required:

  • 6+ years of experience in a corporate or consulting firm environment architecting and deploying AI and technical solutions
  • 4+ years of experience translating technical designs into scalable generative and agentic AI solutions across technology layers
  • 4+ years of experience working with finance processes, including financial planning and analysis, reporting, and treasury
  • Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited university
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • 4+ years of experience in finance transformation and process improvement across enterprise resource planning, enterprise performance management, data, and project management
  • 2+ years of experience supporting pre-sales activities, proposals, and request for proposal responses
  • 2+ years of experience identifying generative artificial intelligence use cases
  • 2+ years of experience mentoring and coaching junior staff
  • Master's degree from a science, technology, engineering, or mathematics-designated program
  • One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 - $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 09/14/2026.

Work you'll do

As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Managers are expected to contribute to the firm's growth and development in a variety of ways.

  • Leading small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises
  • Engaging clients to identify business issues and high-impact AI use cases, shaping hypotheses and value cases
  • Performing assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods
  • Defining scope, objectives, requirements, and delivery plans; managing solution architecture planning through execution, delivery, and post-implementation review
  • Overseeing AI solution development and deployment, managing day-to-day client relationships, and ensuring quality and performance outcomes
  • Contributing to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights.

Qualifications

Required:

  • 6+ years of experience in a corporate or consulting firm environment architecting and deploying AI and technical solutions
  • 4+ years of experience translating technical designs into scalable generative and agentic AI solutions across technology layers
  • 4+ years of experience working with finance processes, including financial planning and analysis, reporting, and treasury
  • Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited university
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • 4+ years of experience in finance transformation and process improvement across enterprise resource planning, enterprise performance management, data, and project management
  • 2+ years of experience supporting pre-sales activities, proposals, and request for proposal responses
  • 2+ years of experience identifying generative artificial intelligence use cases
  • 2+ years of experience mentoring and coaching junior staff
  • Master's degree from a science, technology, engineering, or mathematics-designated program
  • One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $141,200 - $278,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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