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Entry Level Machine Learning Jobs in Arlington, TX

SynergisticIT

Junior/Entry Level Coder - Remote

Arlington, TX · On-site

$60K - $78K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... We want data science/machine learning/data analyst and Java full stack candidates. Required skills ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Develop and implement machine learning and deep learning models. * Perform data preprocessing ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

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Entry Level Machine Learning information

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$11

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$19

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

As of Aug 16, 2026, the average hourly pay for entry level machine learning in Arlington, TX is $15.72, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $17.07 per hour, depending on experience, location, and employer.

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.

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 or entry-level positions can provide practical 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.

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.

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Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Arlington, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $32,692 per year, or $15.7 per hour.

Machine Learning Engineer Fraud Detection

Compugra Systems

Dallas, TX • On-site

Other

Posted 4 days ago

Job description

Hiring: Machine Learning Engineer Fraud Detection

Location: Dallas, TX 100% Onsite
Contract: 1 Year
Experience: 8 12 Years

We are looking for a strong Machine Learning Engineer with experience building and supporting production-grade fraud detection solutions.

Key Skills

Python & Machine Learning
Real-Time / Low-Latency Inference
REST APIs & Microservices
Google Cloud Platform & Databricks
Neo4j / Graph Databases
Feature Stores & Feature Engineering
Data Pipelines & Data Engineering
MLOps, Monitoring & Production Support
Agentic AI Architecture Good to Have

Role Highlights

Build and deploy production fraud detection services
Develop low-latency ML inference solutions
Design ML feature engineering pipelines
Integrate ML models with APIs and microservices
Support graph-based fraud detection using Neo4j
Improve performance, scalability and reliability
Work with MLOps teams on releases and production support

Interested candidates can share their updated resumes at:

#Hiring #MachineLearning #MachineLearningEngineer #MLEngineer #FraudDetection #Python #Google Cloud Platform #Databricks #Neo4j #MLOps #Microservices #DallasJobs #TexasJobs #ContractJobs #TechJobs

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