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Junior Machine Learning Engineer Jobs in Alexander, AR

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

Design, develop, and deploy machine learning models and AI-driven applications * Collaborate with software engineers and product teams to integrate AI solutions into existing platforms * Analyze ...

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

Utilize a variety of programming languages and tools to build and deploy machine learning models. * Support both batch and real-time inference pipelines in collaboration with Data Science and Applied ...

The Software Engineer is responsible for reviewing current software, processing, analyzing and ... Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

AI Engineer

Little Rock, AR · On-site

$100K - $110K/yr

Design, develop, and deploy machine learning models and AI-driven applications * Collaborate with software engineers and product teams to integrate AI solutions into existing platforms * Analyze ...

Software Engineer Supervisor: Information Technology Director Employment Type: Full-Time FLSA ... Familiarity with machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest ...

BI Engineer

Little Rock, AR · On-site

$49 - $63.50/hr

BI Engineer Bally's Intralot is a leading provider of lottery, iLottery, sports betting, and ... Experience using internal and external AI or machine learning tools to support data analysis ...

BI Engineer

Little Rock, AR · On-site

$49 - $63.50/hr

BI Engineer Bally's Intralot is a leading provider of lottery, iLottery, sports betting, and ... Experience using internal and external AI or machine learning tools to support data analysis ...

Showing results 21-40

Junior Machine Learning Engineer information

See Alexander, AR salary details

$31.6K

$67.7K

$103.2K

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

As of Sep 12, 2026, the average yearly pay for junior machine learning engineer in Alexander, AR is $67,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $75,400.00 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 Alexander, AR are hiring for Junior Machine Learning Engineer jobs?

Cities near Alexander, AR with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Alexander, AR as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 75% In-person, 6% Hybrid, and 19% Remote job distribution, with an average salary of $67,682 per year, or $32.5 per hour.

Senior AI/ML Scientist

Little Rock, AR • On-site

Blue Cross and Blue Shield of North Carolina
Insurance Services • 5 - 10K employees

$143K - $229K/yr

Other

Medical, Retirement, PTO

Re-posted 12 days ago


Key responsibilities

  • Own delivery of large and/or complex machine learning, deep learning, and Generative AI systems with self-learning capabilities.

  • Design, implement, evaluate, and optimize AI systems and algorithms to meet business needs and demonstrate feasibility through prototypes and proof-of-concept implementations.

  • Lead consultation sessions with business partners to align AI solutions with organizational goals and communicate results to cross-functional teams.


Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Job Description

Serve as the senior AI/ML scientist to identify, research, and develop transformational predictive, prescriptive, and Generative AI (GenAI) solutions that translate structured and unstructured data into sound organizational decisions. Senior AI/ML scientist will combine statistical expertise, programming skills, and data science knowledge to create impactful self-learning applications and collaborate with multidisciplinary teams to integrate AI technologies into real-world systems and solutions to achieve business goals.

What You Will Do

  • Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time.

  • Design, implement, and evaluate artificial intelligence (AI) systems that can be used in production environments to meet business needs.

  • Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems.

  • Lead in the development and testing of appropriate ML algorithms, design & conduct experiments, collect and analyze data, and optimize performance of ML algorithms.

  • Stay updated with the advancements in artificial intelligence, machine learning, and generative AI methods and adapt new methods to effectively solve business problems.

  • Benchmark against existing machine learning methods and analyze results to identify strengths, weaknesses, and areas for improvement.

  • Develop prototypes and proof-of-concept implementations to demonstrate the feasibility and potential of new AI technologies including Generative AI.

  • Lead consultation sessions with business partners to distill the business needs and provide technical guidance on predictive and prescriptive AI approaches, ensuring alignment with business goals.

  • Drive continuous improvement by experimenting with novel techniques and refining existing models.

  • Leverage deep knowledge of software engineering principles in constructing sophisticated ML models and refining existing systems.

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

#LI-Hybrid

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Artificial Intelligence (AI), Benchmarking, Best Practices Development, Data Analysis, Data Science, Data Visualization, Deep Learning Algorithms, Machine Learning (ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics

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JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.


What Blue Cross and Blue Shield of North Carolina employees say

Pay

Benefits

Hours and flexibility

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