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Junior Ml Engineer Jobs in Raleigh, NC (NOW HIRING)

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Mentors junior engineers. * Performs independent and complex technical and functional analysis for ... Learning (ML) capabilities on AWS, Microsoft Azure, or Snowflake, using big data processing ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Mentors junior engineers. * Performs independent and complex technical and functional analysis for ... Learning (ML) capabilities on AWS, Microsoft Azure, or Snowflake, using big data processing ...

... ML systems. The ideal candidate will bring 10+ years of data science experience, including at least ... Engineers throughout the product development and deployment lifecycle. • Design and optimize ...

Test Automation Architect

Raleigh, NC · On-site

$120 - $180/hr

This is a highly technical role at the intersection of test automation and AI/ML, responsible for ... Support junior Engineers to accelerate test automation by training, guiding, and solving technical ...

This is a highly technical role at the intersection of test automation and AI/ML, responsible for ... Support junior Engineers to accelerate test automation by training, guiding, and solving technical ...

This is a highly technical role at the intersection of test automation and AI/ML, responsible for ... Support junior Engineers to accelerate test automation by training, guiding, and solving technical ...

... junior engineer you are accountable for, never an oracle. • Integrate third-party APIs and ... Python ML stack (e.g., scikit-learn, PyTorch, or similar) and taking models from prototype to ...

AI Software Developer

Raleigh, NC · On-site

$100 - $130/hr

... junior engineer you are accountable for, never an oracle. * Integrate third‑party APIs and ... with the Python ML stack (e.g., scikit‑learn, PyTorch, or similar) and taking models from ...

CTIO AI Engineering Manager

Raleigh, NC · On-site

$73K - $244K/yr

... junior staff while upholding remarkable standards of quality and innovation in deliverables ... ML publication Travel Requirements Not Specified Job Posting End Date The salary range for this ...

Showing results 21-40

Junior Ml Engineer information

See Raleigh, NC salary details

$32.6K

$69.8K

$106.4K

How much do junior ml engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for junior ml engineer in Raleigh, NC is $69,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $77,800.00 per year, depending on experience, location, and employer.

What is a junior ML engineer?

Junior ML Engineers are entry-level professionals who assist in designing, building, and deploying machine learning models under the supervision of more experienced engineers or data scientists. They typically work on data preprocessing, implementing algorithms, and supporting the maintenance and improvement of ML systems. Junior ML Engineers are expected to have foundational knowledge in programming, mathematics, and machine learning concepts, and they often gain hands-on experience by working on real-world projects as part of a team.

What are some common challenges faced by junior ML engineers in their first year on the job?

Junior ML Engineers often encounter challenges such as bridging the gap between academic knowledge and real-world applications, understanding complex data pipelines, and managing large datasets. They may also need to quickly learn company-specific tools and frameworks, as well as adapt to working in cross-functional teams with data scientists, software engineers, and product managers. Seeking mentorship, asking questions, and actively participating in team meetings can help overcome these hurdles and accelerate professional growth.

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

To thrive as a Junior ML Engineer, you need a strong foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by a degree in computer science or a related field. Familiarity with ML libraries such as TensorFlow or PyTorch, experience with version control systems like Git, and certifications from platforms like Coursera or AWS can be advantageous. Strong problem-solving skills, curiosity, and effective communication help you collaborate with teams and learn quickly. These skills and qualities are essential to efficiently build, test, and deploy machine learning models that drive business value.

What is the difference between Junior ML Engineer vs Data Scientist?

AspectJunior ML EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related field; strong analytical skills
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, modeling, interpreting data, creating reports
Employer & Industry UsageTech companies, startups, AI-focused firms

While both roles involve working with data and machine learning, a Junior ML Engineer primarily focuses on building and deploying ML models, often with coding and engineering tasks. A Data Scientist emphasizes data analysis, statistical modeling, and deriving insights. The roles overlap in skills and tools but differ in their core responsibilities and focus areas.

Are junior ML engineers still in demand?

Junior ML engineers are currently in demand as companies seek to develop and implement machine learning solutions. Skills in programming, data analysis, and familiarity with tools like Python and TensorFlow enhance job prospects in this growing field.

How much does a junior machine learning engineer earn?

A junior machine learning engineer typically earns 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 does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and frameworks such as TensorFlow or PyTorch to support AI projects. The role often involves learning from senior engineers and gaining experience in model optimization and evaluation.

What are the most commonly searched types of Ml Engineer jobs in Raleigh, NC?

The most popular types of Ml Engineer jobs in Raleigh, NC are:

What are popular job titles related to Junior Ml Engineer jobs in Raleigh, NC?

For Junior Ml Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Junior Ml Engineer jobs in Raleigh, NC look for?

The top searched job categories for Junior Ml Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Junior Ml Engineer jobs?

Cities near Raleigh, NC with the most Junior Ml Engineer job openings:

Infographic showing various Junior Ml Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $69,791 per year, or $33.6 per hour.

Payer Dev, Git & ML-Ops Engineer, Senior Associate

Pwc

Raleigh, NC • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance.
As an operations consulting generalist at PwC, you will possess a broad understanding of various aspects of operations consulting. You will provide comprehensive guidance and support to clients in optimising operational efficiency and effectiveness. Working in this area, you will analyse client needs, develop operational solutions, and offer recommendations tailored to specific business requirements.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Operations Consulting team, you will design and build a next-generation analytics platform tailored for healthcare payers. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain exemplary standards while building meaningful client relationships and navigating increasingly complex situations. This role offers the chance to work alongside healthcare experts and data scientists, directly influencing client outcomes and contributing to innovative solutions in a dynamic consulting environment.
Responsibilities
- Design and implement advanced analytics solutions for healthcare payers
- Analyze intricate challenges and develop actionable insights
- Mentor and guide junior team members in their professional growth
- Maintain exceptional standards in deliverables
- Build and nurture substantial relationships with clients
- Navigate complex project environments and adapt to changing needs
- Collaborate with healthcare experts and data scientists to drive innovation
- Contribute to the development of impactful solutions in a consulting setting
What You Must Have
- Bachelor's Degree
- At least 4 years of experience in software engineering or data engineering
What Sets You Apart
- Master's Degree in Computer Science, Data Engineering, Software Engineering preferred
- Experience operating dbt at scale on Databricks
- Prior work with healthcare analytics packages
- Designing CI/CD pipelines for Databricks Asset Bundles
- Provisioning Azure Databricks workspaces and managing isolation patterns
- Building Python CLI tools with argparse and YAML configuration
- Designing AI agent systems for development workflows
- Familiarity with corporate network constraints
- Experience with multi-cloud data flows

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

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Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK