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Junior Machine Learning Engineer Jobs in Sumter, SC

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

Data Science Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Python Tutor

Columbia, SC · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Data Scientist- AFCENT 4.45

Sumter, SC · On-site

$120 - $180/hr

Document data engineering processes, procedures, and standards for future reference. Communicate ... Develop and deploy machine learning models. Develop and implement data-driven solutions to complex ...

Data Scientist

Sumter, SC · On-site

$99 - $225/hr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... programming languages for data analysis 5+ years of experience analyzing structured and ...

Programming & Process automation: Experience with file I/O, database integrations, and APIs to ... Conducts end-to-end machine learning tasks from problem synthesis to model deployment. * Data ...

Machinist I (Onsite)

Sumter, SC · On-site

$19.25 - $26.50/hr

... with Engineering and other technical resources. ESSENTIAL FUNCTIONS * Perform duties of Machine ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

Machinist I (Onsite)

Sumter, SC

$19.25 - $26.50/hr

... with Engineering and other technical resources. ESSENTIAL FUNCTIONS * Perform duties of Machine ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

Machinist I (Onsite)

Sumter, SC · On-site

$19.25 - $26.50/hr

... with Engineering and other technical resources. ESSENTIAL FUNCTIONS * Perform duties of Machine ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

Linear Algebra Tutor

Columbia, SC · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Showing results 21-40

Junior Machine Learning Engineer information

See Sumter, SC salary details

$29.8K

$63.9K

$97.5K

How much do junior machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for junior machine learning engineer in Sumter, SC is $63,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,200.00 and $71,200.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What cities near Sumter, SC are hiring for Junior Machine Learning Engineer jobs?

Cities near Sumter, SC with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Sumter, SC as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $63,943 per year, or $30.7 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Job description

The Nuclear Company is the fastest growing AI tech-enabled startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once, build-many model, we're accelerating the deployment of safe, reliable, and affordable nuclear energy.

We operate with an AI-first mindset. Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work. We expect every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence.

We hire people who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before. Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards. Our values-Transparency, Responsibility, Unity, Scrappiness, and Tenacity-guide how we hire, collaborate, and make decisions every day. They are not words on a wall; they are the standard by which we operate. TRUST is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission.

About the role

The Estimator is a key participant in project development and the successful capture of business for TNC.  The successful candidate will be familiar with the Association for the Advancement of Cost Engineering (AACE) and their recommended practices related to the development of cost estimates.  The estimator will interface with several stakeholders, both inside and outside of TNC, to develop reliable cost estimates with the appropriate pedigree aligned with international standards. 

Responsibilities

  • Estimate Development: Given a scope of work, the estimator will work with key stakeholders to develop an estimate aligned with the requisite AACE classifications appropriate for the phase of the project
  • Create a Basis of Estimate: In support of the estimate, the BOE shall provide enough information a reasonable individual can reach the same outcome
  • Cross-Functional Collaboration & Stakeholder Alignment: Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and project controls teams to collect inputs to support estimate development
  • Risk and Assumption Identification: Based on inputs, the estimator will identify key risks and assumptions associated with each element of the estimate. The estimator will work with risk personnel to ensure quantitative analysis is performed based on this information and included in the basis of estimate
  • Estimating Software & Database Management: Utilize industry-standard estimating platforms (e.g., HCSS HeavyBid, InEight Estimate, Sage Estimating, or CostOS) to develop, organize, and maintain detailed cost estimates with traceable line items, historical benchmarking, and parametric modeling capabilities
  • AI-Enhanced Cost Modeling: Leverage AI and machine learning tools to analyze historical project data, identify cost drivers, improve estimate accuracy, and perform automated benchmarking against comparable projects across the fleet
  • Proficiency with estimating software and cost databases (e.g., InEight, CostOS, RSMeans, or equivalent) for developing and maintaining structured, auditable cost estimates
  • Familiarity with AI/machine learning applications for parametric estimating, historical data analysis, or probabilistic cost modeling (e.g., Monte Carlo simulation tools, @Risk, Crystal Ball)

Experience

  • Bachelor's degree or equivalent work experience
  • 15+ years of experience in project controls
  • 5+ years of experience as an estimator on large project
  • Strong understanding of project lifecycle and work breakdown structures 
  • Exceptional attention to detail and ability to manage multiple priorities in a dynamic environment 
  • Proficiency with estimating software and cost databases for developing and maintaining structured, auditable cost estimates
  • Familiarity with AI/machine learning applications for parametric estimating, historical data analysis, or probabilistic cost modeling (e.g., Monte Carlo simulation tools, @Risk, Crystal Ball)
  • Excellent communication and collaboration skills
  • Exceptional analytical skills

Preferred Experience:

  • Experience in the nuclear energy, power generation, or highly regulated industry 
  • Familiarity with earned value management, risk analysis, and cost-schedule integration 
  • PMP or PMI-SP certification a plus 
  • Experience working in a startup or high-growth environment 

Benefits

  • Competitive compensation packages
  • 401k with company match
  • Medical, dental, vision plans
  • Generous vacation policy, plus holidays

Estimated Starting Salary Range
The estimated starting salary range for this role is $150,000 - $173,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. 

EEO Statement
The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.

Export Control
Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.
 
Recruiting Fraud Alert
Your safety is our priority. We want to ensure your job search stays secure. Please note that the team at The Nuclear Company only communicates through official @thenuclearcompany.com email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page.