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Entry Level Machine Learning Jobs in Durham, NC (NOW HIRING)

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Psychometrician

Durham, NC · Remote

$80K - $95K/yr

... * Entry-level candidates and recent graduates with relevant coursework, research, or internship experience will be considered. * Experience with statistical/psychometric programming, machine learning ...

Psychometrician

Durham, NC · On-site

$80K - $95K/yr

... * Entry-level candidates and recent graduates with relevant coursework, research, or internship experience will be considered. * Experience with statistical/psychometric programming, machine learning ...

Psychometrician

Durham, NC · On-site

$80K - $95K/yr

... * Entry-level candidates and recent graduates with relevant coursework, research, or internship experience will be considered. * Experience with statistical/psychometric programming, machine learning ...

Two years of experience in B2B Technical Support -this is not an entry-level position. * In-depth ... cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect ...

Cleaner

Morrisville, NC

$13 - $15.50/hr

Clean the facility laundry rooms and report any broken screens, windows, or machinery to the direct ... Basic computer skills and comfort learning software, apps, and programs * Have reliable ...

Cleaner

Morrisville, NC · On-site

$13 - $15.50/hr

Clean the facility laundry rooms and report any broken screens, windows, or machinery to the direct ... Basic computer skills and comfort learning software, apps, and programs * Have reliable ...

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Entry Level Machine Learning information

See Durham, NC salary details

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How much do entry level machine learning jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for entry level machine learning in Durham, NC is $16.88, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $18.37 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in Durham, NC?

The most popular types of Machine Learning jobs in Durham, NC are:

What are popular job titles related to Entry Level Machine Learning jobs in Durham, NC?

For Entry Level Machine Learning jobs in Durham, NC, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in Durham, NC look for?

The top searched job categories for Entry Level Machine Learning jobs in Durham, NC are:

What cities near Durham, NC are hiring for Entry Level Machine Learning jobs?

Cities near Durham, NC with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $35,103 per year, or $16.9 per hour.

Remote Software Engineer (Java/Python & ML)

Fairweather, LLC

Durham, NC • On-site

Other

Posted 9 days ago


Job description

Synergisticit Job Opportunities

Since 2010, SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients.

Post Covid the tech layoffs have been massive—In 2022 there were 165,269 tech layoffs, in 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. Total layoffs as per this 555,871 tech layoffs. Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The job market is hyper-competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get interviews and eventually a job offer. Survival of the fittest is the only way to get a tech job in this job market. In this layoffs fueled market also SynergisticIT's candidates are able to achieve multiple job offers and $100k+ salaries once they acquire the required skills.

We regularly interact with the top tech companies to give our candidates a competitive advantage. Please visit the below videos exhibiting at Oracle Cloud world/Oracle Java one (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

All positions are open for all visas and US citizens. We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs etc to name a few. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.

Who should apply? Recent Computer science/Engineering/Mathematics/Statistics or Science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.

Required skills for Java/Full stack/DevOps positions:

  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Knowledge of Core Java, javascript, C++ or software programming
  • Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience

Required skills for Data Science/Data Analyst/AI/Machine learning positions:

  • Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude
  • Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools

Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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