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

... AI and machine learning. * Experience with agentic technologies and their applications ... Provide technical guidance and mentorship to junior team members. Skills: * Excellent problem ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics ...

Develops scalable, automated solutions using machine learning, simulation, and optimization to ... Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Familiarity with AI and machine learning concepts, including supervised and unsupervised learning ...

New

Provides technical leadership to peers and junior developers Performs related duties as assigned ... Machine Learning/predictive analysis (preferred) Mulesoft, Informatica, Microsoft SQL Server ...

Experience with machine learning, predictive modeling, or AI-enabled analytics. * Experience leading analytic workstreams or supervising junior analysts. * Publication history in peer-reviewed ...

Mentor junior software engineers and collaborate with other leads on the implementation of AI ... Certification in AI, machine learning or a related field * Excellent problem-solving skills come up ...

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Junior Machine Learning information

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$6

$23

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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.

Senior Applied AI Scientist - Multimodal & Computer Vision

The Hartford

Charlotte, NC • Hybrid

$110K - $166K/yr

Full-time

Re-posted 13 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 310 rated insurance


Job description

Sr Data Scientist - GD07AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day not only at work, but at home and in the community too. If that sounds like you, then you've landed in the right place.

Emerging Tech and Innovation is a forward-looking team at The Hartford. We explore the frontier of AI by experimenting with emerging technologies, evaluating cutting-edge vendors, and rapidly prototyping solutions that can transform the insurance landscape.

We are seeking aSenior Data Scientistwith deep expertise in computer vision and a passion for experimentation. This role is ideal for someone who thrives in early-stage R&D environments, enjoys working with novel data modalities, and is excited by the challenge of translating emerging capabilities into business value. You'll collaborate closely with other data science and engineering teams, often handing off successful prototypes for production scaling.

Key Focus Areas

This position will build domain expertise in areas such as:

Multimodal generative AI, including image-text models

Rapid experimentationandproof-of-concept development

Vendor and technology evaluationsin the AI/ML space

Responsibilities

  • Design and prototype machine learning models for image and video data, with a focus on insurance-relevant use cases.
  • Evaluate emerging technologies and vendors, providing technical assessments and recommendations.
  • Collaborate with business stakeholders to identify high-impact opportunities for AI innovation.
  • Translate ambiguous problems into structured experiments and communicate findings clearly.
  • Partner with engineering and data science teams to transition successful prototypes into production-ready solutions.
  • Stay current on the latest research and trends in AI, computer vision, and generative models.
  • Mentor junior team members and contribute to a culture of curiosity and continuous learning.

What's in it for you?

  • Work on cutting-edge AI problems in a highly exploratory environment.
  • Collaborate with a high-performing, forward-focused team and engage with product owners and business stakeholders.
  • Expand your technical and strategic skills in a role that blends research, experimentation, and business impact.
  • Influence the future of AI at The Hartford by shaping how new technologies are evaluated and adopted.
  • Thrive in a supportive environment that values innovation, agility, and growth.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Qualifications:

  • Master's or PhD in a quantitative field such as Data Science, Computer Science, Statistics, Applied Mathematics, or Engineering. A Bachelor's with additional years of relevant experience can substitute for an advanced degree.
  • 5+ years of experience in data science, machine learning, or a related field.
  • Proficiency in Python and SQL; experience with cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of statistical modeling, machine learning, and data visualization techniques.
  • Excellent problem-solving skills and ability to work independently and collaboratively.
  • Strong communication skills with the ability to present complex ideas to diverse audiences.
  • Self-motivated, strong sense of ownership/accountability, and results oriented with the ability to manage time and schedules effectively
  • Natural curiosity with a strong desire to learn, maintain, and apply knowledge of emerging data technologies

Desired Qualifications:

  • Experience with Computer Vision, Convolutional Neural Networks(CNN), Multimodal GEN AI a plus
  • Familiarity with Agile and CI/CD practices.
  • Experience in innovation and rapid prototyping with a "fail-fast" mindset.
  • Knowledge of Property & Casualty Insurance business is a plus.

Candidate must be authorized to work in the US without company sponsorship.The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$110,720 - $166,080

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits


What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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