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Entry Level Machine Learning Engineer Jobs in Raleigh, NC

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

The engineer applies deep learning technologies to enable computers to visualize, learn, and ... Develop and implement AI and machine learning strategies across several healthcare domains

... and machine learning models, collaborating with technology teams, and ensuring data quality and ... Required : • Strong programming skills in Python • Hands-on experience with AI/ML frameworks:

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

The engineer applies deep learning technologies to enable computers to visualize, learn, and ... Develop and implement AI and machine learning strategies across several healthcare domains

DevOps Engineer

Raleigh, NC · On-site

$51.25 - $70.25/hr

... s Engineer Location: Raleigh, North Carolina, USA, remote till covid. * 2-3 years pf experience ... UiPath, Blue Prism, PEGA), SQL, GIT, Docker, OpenShift/Kubernetes, Machine Learning based document ...

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Power System Engineer (Entry Level) Launch Your Career in Power Engineering SE Engineering, PC is ... learning agility · Effective communication and organizational skills Company Description SE ...

Position will require learning and becoming proficient in Dewberry engineering practices and ... Our entry-level program comes together on a regular basis for professional development events and ...

Position will require learning and becoming proficient in Dewberry engineering practices and ... Our entry-level program comes together on a regular basis for professional development events and ...

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Machine Learning Engineer information

See Raleigh, NC salary details

$29.2K

$67.4K

$114.7K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for entry level machine learning engineer in Raleigh, NC is $67,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Raleigh, NC? The most popular types of Machine Learning Engineer jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Raleigh, NC? For Entry Level Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Raleigh, NC look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Machine Learning Engineer jobs? Cities near Raleigh, NC with the most Entry Level Machine Learning Engineer job openings:
Lead AI/ML Engineer - Remote

Lead AI/ML Engineer - Remote

UnitedHealth Group

Raleigh, NC • On-site, Remote

$99K - $131K/yr

Full-time

Retirement

Posted 26 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

188th of 875 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. We're Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum.

The Optum Technology Chief Digital Office (CDO) Leadership team is transforming Optum to be an industry-leading Consumer brand. We are on a journey towards delivering a best-in-the-industry consumer experience to our patients and providers by delivering personalized digital solutions that support our consumers throughout their healthcare journeys. This team is transforming to meet the moment - to begin radically altering the way our customers engage with the healthcare system using modern tech to solve some of the most complex problems experienced along the way.

Serving all of UnitedHealth Group's digital technology needs, the CDO team is responsible for driving outcomes across nearly 30 million human lives with UnitedHealthcare insurance, a number which puts UHC at the top of the pack as the largest managed care provider in the United States.

We are looking for a Lead AI/ML Engineer to code and develop software that deploys ML models and algorithms into production. This role communicates and presents complex analytics results and concepts to leadership and internal stakeholders. The role employs AI and/or ML techniques that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).

The engineer applies deep learning technologies to enable computers to visualize, learn, and respond to complex situations, and may adapt machine learning to areas such as artificial intelligence, robotics, and interactive user experiences. The role works with large-scale computing frameworks and data analysis systems. The role is expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using code for tool building and statistical analysis, using both general purpose software and statistical languages.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Develop and implement AI and machine learning strategies across several healthcare domains
  • Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives
  • Develop and maintain strong relationships with stakeholders, customers, and partners internally and externally
  • Represent Consumer Engineering work and teams across Optum global leadership
  • Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations
  • Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/Generative AI where applicable
  • Create technical specifications and write high-quality, scalable, supportable code; review code of other engineers and mentor them to ensure all quality KPIs are met or exceeded
  • Demonstrate collaborative skills to work effectively with diverse teams
  • Possess deep expertise in modern software engineering practices including AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production across the full SDLC lifecycle
  • Serve as a role model by leveraging these techniques to optimize solutioning and product delivery
  • Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery
  • Provide leadership and be accountable for the performance of managers and/or senior-level professional staff
  • Drive impact at the operational, local business unit, or market level

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline
  • 14 years of experience in Software Engineering, Data Science, or Analytics, with at least 8 years in AI/ML engineering or related fields and the last 3 years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
  • Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn
  • Experience with cloud platforms such as AWS, Azure, and GCP
  • Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes
  • Demonstrated experience leading and managing AI/ML teams and projects from ideation to delivery and evaluation
  • Hands-on experience in AI and driving the development of innovative AI and machine learning solutions
  • Proficiency in Python or other programming languages for data analysis and AI/ML development
  • Proven expertise in AI/ML techniques including deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, and large language models

Preferred Qualifications:

  • PhD in AI / ML, Engineering, Mathematics, Statistics, or a related discipline
  • Experience working with cross-functional and distributed teams in a global and diverse environment
  • Experience in mentoring, coaching, and developing AI/ML talent
  • Experience in establishing and enforcing AI/ML best practices, standards, and ethics
  • Experience in Realizing Value from AI/ML products as well as production ready product.
  • Proven history of delivering high-impact AI/ML solutions for real-world problems and use cases
  • Proven background in healthcare (AI)
  • Proven portfolio of AI/ML publications, patents, or awards
  • Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts to both technical and non-technical audiences
  • Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism
  • Proven passion for learning and staying updated with the latest AI/ML trends and research

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700    to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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