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Entry Level Machine Learning Engineer Jobs in Grapevine, TX

SynergisticIT

Entry Level UI Developer

Arlington, TX · On-site

$45 - $58.50/hr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

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All JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Grapevine, TX

Entry Level Machine Learning Engineer information

See Grapevine, TX salary details

$27.7K

$64.1K

$109K

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

As of Jul 1, 2026, the average yearly pay for entry level machine learning engineer in Grapevine, TX is $64,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $72,500.00 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 Grapevine, TX? The most popular types of Machine Learning Engineer jobs in Grapevine, TX are:
What cities near Grapevine, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near Grapevine, TX with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Grapevine, TX as of June 2026, with employment types broken down into 57% Full Time, 40% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $64,082 per year, or $30.8 per hour.

Data Scientist [Multiple Positions Available]

JPMorganChase

Plano, TX • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
JPMorganChase is a leading financial services firm dedicated to helping individuals and businesses achieve their financial goals. They are seeking a Data Scientist to develop and interpret queries, analyze workflows, and implement machine learning models to enhance operational efficiencies and ensure data quality.
Responsibilities:
• Develop and interpret queries, including subqueries, CTEs, and hierarchical data queries, while identifying clauses that affect business logic and reporting accuracy.
• Build and analyze workflows to ensure accurate data flow and outputs, resolving discrepancies as needed.
• Validate and inspect dashboards ensuring alignment with business metrics and reporting requirements.
• Collaborate with stakeholders to gather reporting requirements, conduct data analysis, and support the analytics lifecycle from design to deployment.
• Implement machine learning, artificial intelligence models via pre trained endpoints or services to automate data extraction and processing, enhancing operational efficiencies and implementing automation and modernization of legacy solutions such as migration to cloud.
• Manage metadata, data cataloging, and lineage for governance and compliance.
• Troubleshoot performance bottlenecks in data environments to ensure pipelines meet SLAs and maintain data quality.
• Build and manage CI/CD pipelines to automate infrastructure deployment and code releases.
• Transform data from various structured and unstructured datasets.
Qualifications:
Required:
• Master's degree in Data Science, Computer Science, Information Systems, or related field of study plus 1 year of experience in the job offered or as Data Scientist, Machine Learning Engineer, Data Analytics, or related occupation.
• Alternatively, a Bachelor's degree in Data Science, Computer Science, Information Systems, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Machine Learning Engineer, Data Analytics, or related occupation.
• One (1) year of experience with Designing and implementing large-scale ETL solutions in Alteryx including data wrangling, transformation, end-to-end workflow orchestration, and automation.
• One (1) year of experience with Streamlining repetitive tasks with Alteryx macros including Batch and Interactive.
• One (1) year of experience with Developing and Analyzing SQL scripts in Oracle to extract, transform, and analyze data from relational databases using joins, common table expressions, and subqueries.
• One (1) year of experience with Performing data blending, cleansing, and transformation using python and SAS programming languages to build Automated datasets.
• One (1) year of experience with Developing automated visualizations and dashboards using Tableau to generate actionable insights.
• One (1) year of experience with Assisting in the design, review, and implementation of analytical solutions across the data lifecycle.
• One (1) year of experience with Developing finance domain datasets and delivering production ready analytical outputs ensuring to meet regulatory and compliance controls.
• One (1) year of experience with Translating business requirements into governed reporting solutions adhering to regulatory controls.
• One (1) year of experience with Supporting internal audits and technical reviews for finance, risk, and claims data.
Preferred:
• Any amount of experience with Supporting the development of data pipelines that serve pre trained ML models using Statistical Techniques such as PCA and foundational Machine learning models such as Regression, Clustering, or Text processing.
• Any amount of experience with Building scalable data workflows and machine learning based automation workflows on AWS or Microsoft Azure services Using Cloud-based computing, big data processing, and storage services.
• Any amount of experience with Processing and analyzing datasets using distributed data processing framework Apache Spark that enable advanced analytics and intelligent data solutions.
• Any amount of experience with Interpreting model outputs and integrating them into Analytical workflows using ML libraries such as scikit-learn or TensorFlow.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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