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

Sr. AI Engineer

Durham, NC · On-site

$140 - $190/hr

Mentor junior engineers and contribute to the AI/ML specialization pathway. TECHNICAL COMPETENCIES (REQUIRED) * Microsoft Foundry (Azure AI Foundry) hands‑on experience with the model catalog ...

Position Summary Vadum is seeking a Junior Software Engineer to support the design, development ... Experience with programming languages (JAVA, C/C++, Python/TensorFlow/Scikit-Learn, MATLAB, and ML ...

Position Summary Vadum is seeking a Junior Software Engineer to support the design, development ... Experience with programming languages (JAVA, C/C++, Python/TensorFlow/Scikit -Learn, MATLAB, and ML ...

Position Summary Vadum is seeking a Junior Software Engineer to support the design, development ... Experience with programming languages (JAVA, C/C++, Python/TensorFlow/Scikit-Learn, MATLAB, and ML ...

Senior Software Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Experience or familiarity with AI/ML-enabled solutions, document processing, computer vision, or ... Experience mentoring junior software engineers * Demonstrated ability to solve complex technical ...

Senior Software Engineer

Raleigh, NC · On-site

$91K - $163K/yr

Experience or familiarity with AI/ML-enabled solutions, document processing, computer vision, or ... Experience mentoring junior software engineers * Demonstrated ability to solve complex technical ...

Mentor junior practitioners and partner with client and internal stakeholders to drive execution ... Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and ...

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

Mentors junior analysts and reviews testing deliverables for quality and consistency. * Supports ... AI/ML models, Generative AI applications, LLM-enabled systems, or data science solutions.

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

Mentors junior analysts and reviews testing deliverables for quality and consistency. * Supports ... AI/ML models, Generative AI applications, LLM-enabled systems, or data science solutions.

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

Mentors junior analysts and reviews testing deliverables for quality and consistency. * Supports ... AI/ML models, Generative AI applications, LLM-enabled systems, or data science solutions.

Mentor junior programmers and influence programming approaches through strong technical leadership ... Identify and implement improvements, including use of AI/ML. * Contribute to departmental ...

Mentor junior engineers (code reviews, pair-programming etc) * Serve as a technical lead for ... Some knowledge of of AI/ML is desired but not a requirement * Experience with LLMs or AI-driven ...

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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.

$140 - $190/hr

Other

Posted 10 days ago


Job description

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Peter Millar was founded in 2001 with a single cashmere sweater offered in 24 colors. Based in Raleigh and Durham, North Carolina, the American lifestyle brand has grown to include luxury performance sportswear, seasonal resort and country club apparel, sophisticated classics, casually refined tailored clothing and sartorial accessories. We strive to capture timeless style upgraded with signature innovations, in designs that are in tune with modern life. We embrace working hard, being kind and doing right by our customers, aiming to set a higher standard for the apparel industry.

The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal capability by combining ML engineering, GenAI integration, and prompt engineering into one senior role. Using Microsoft Foundry, formerly Azure AI Foundry, and the broader Azure AI stack—grounded in governed Microsoft Fabric and One Lake data—this role builds, deploys, monitors, and continuously improves production AI features such as search, personalization, content generation, and internal copilots, reducing reliance on high-cost consulting. The role may initially be proven through consulting support and then internalized once the approach is established.

ESSENTIAL FUNCTIONS
  • Production of AI Capability Build and deploy production AI features; search, personalization, content generation, and internal copilots on Microsoft Foundry (Azure AI Foundry).
  • Implement LLM and RAG solutions grounded in governed One Lake data, using the Model Context Protocol (MCP) to connect models to data and tools.
  • Develop and tune prompts, retrieval strategies, and agent workflows via the Foundry Agent Service and model catalog.
  • MLOps Foundation Establish deployment, monitoring, evaluation, and cost-management practices around AI projects — recognizing AI products require continual refinement, not set-and-forget delivery.
  • Implement CI/CD for AI artifacts, prompt/model versioning, and automated evaluation.
  • Partner with data engineering to keep Fabric/One Lake data AI-ready.
Risk Management & Guardrails
  • Implement guardrails, prompt-injection defenses, output validation, and PII handling.
  • Ensure technical controls stay aligned with Richemont’s requirements and policies.
  • Document responsible-AI practices and model evaluations.
Collaboration & Mentorship
  • Work under AI Engineering Manager and partner with data science and data engineering on shared infrastructure.
  • Mentor junior engineers and contribute to the AI/ML specialization pathway.
TECHNICAL COMPETENCIES (REQUIRED)
  • Microsoft Foundry (Azure AI Foundry) hands‑on experience with the model catalog, Foundry Agent Service, evaluation, and deployment.
  • Azure AI production experience with Azure AI services / Azure OpenAI and LLM/RAG architectures.
  • MCP, RAG & LLMs demonstrated experience with the Model Context Protocol (MCP), retrieval‑augmented generation, and prompt engineering.
  • Microsoft Fabric & One Lake experience grounding AI on governed Fabric/One Lake data (Lakehouse, Direct Lake, shortcuts).
  • MLOps CI/CD, monitoring, evaluation, and cost management; strong Python.
DESIRED EDUCATION AND EXPERIENCE
  • 5+ years in ML/AI engineering, with production generative-AI delivery (RAG, copilots, search, or personalization).
  • Hands‑on Microsoft Foundry / Azure AI Foundry and Azure AI experience strongly preferred.
  • Experience with MCP, RAG, and LLM integration; strong prompt‑engineering skills.
  • Familiarity with Microsoft Fabric / One Lake and governed data foundations.
  • Strong Python; solid MLOps and software‑engineering fundamentals.
  • Bachelor’s or Master’s in Computer Science, Machine Learning, or related field; relevant Azure AI certifications a plus.

If you like wild growth and working with happy, enthusiastic over‑achievers, you'll enjoy your career with us!

Peter Millar & G/FORE are equal opportunity employers.

In accordance with anti‑discrimination law, it is the purpose of this policy to effectuate these principles and mandates.

Both Peter Millar & G/FORE prohibit discrimination and harassment of any type and they afford equal employment opportunities to employees and applicants without regard to race, color, religion, gender, age, national origin, genetic information, marital status, disability status, protected veteran status, sexual orientation, or any other characteristic protected by law.

Both Peter Millar & G/FORE comply with applicable state, county and local laws governing non‑discrimination in employment.

Peter Millar was founded in 2001 with a single cashmere sweater. Through this initial garment, an ethos emerged to embody luxury, elegance and a dedication to superior craftsmanship. Today the brand has grown to include luxury performance sportswear, seasonal resort apparel, refined tailored clothing, and sartorial accessories. Each offering features the finest raw materials and fabric innovations while utilizing the world’s best yarn spinners, artisanal workshops and highly specialized factories. Peter Millar clothes and accessories are available online and in specialty retail stores and the most prestigious resorts. Our global distribution includes North America, Europe, Asia, Australia and the South Pacific. Peter Millar is headquartered in Raleigh, North Carolina with a distribution center in Durham, North Carolina.

Interested in exploring a different side of the brand family? G/FORE is where style meets personality -- take a look at current opportunities here

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