1

Apprentice Machine Learning Testing Jobs in Arlington, TX

Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common ...

Machine Learning Developer

Dallas, TX ยท On-site

$115K - $140K/yr

Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Create automated CI/CD processes for model training, deployment, testing, and promotion between ...

Machine Learning Developer

Dallas, TX ยท On-site

$115K - $140K/yr

Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Create automated CI/CD processes for model training, deployment, testing, and promotion between ...

Machine Learning Engineer

Plano, TX ยท On-site

$53.50 - $71/hr

Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Lead Machine Learning Engineer

Plano, TX ยท On-site

$98K - $129K/yr

## Lead Machine Learning EngineerApplylocations: Plano, TX: McLean, VAtime type: Full timeposted on ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Lead Machine Learning Engineer

Plano, TX ยท On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Solve complex problems by writing and testing application code, developing and validating ML models ...

... testing. * Data Storytelling: Exceptional verbal, written, and listening skills with a demonstrated ... machine learning workloads and process massive datasets. #LI-Hybrid Annual Pay Range: 111,900 - 130 ...

Lead Machine Learning Engineer

Plano, TX ยท On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Solve complex problems by writing and testing application code, developing and validating ML models ...

next page

Showing results 1-20

Apprentice Machine Learning Testing information

See Arlington, TX salary details

$9

$17

$25

How much do apprentice machine learning testing jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for apprentice machine learning testing in Arlington, TX is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

What does an apprentice machine learning testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What kinds of projects or tasks can I expect to work on as an apprentice machine learning testing?

As an Apprentice Machine Learning Testing, youโ€™ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an apprentice machine learning testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Arlington, TX?

For Apprentice Machine Learning Testing jobs in Arlington, TX, the most frequently searched job titles are:

What job categories do people searching Apprentice Machine Learning Testing jobs in Arlington, TX look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Arlington, TX are:

What cities near Arlington, TX are hiring for Apprentice Machine Learning Testing jobs?

Cities near Arlington, TX with the most Apprentice Machine Learning Testing job openings:

Machine Learning Engineer

Plano, TX โ€ข On-site

TeleWorld Solutions
Wireless Telecommunications Carriersย โ€ขย 201 - 500 employees

Other

Re-posted yesterday


Job description

Overview TeleWorld Solutions is seeking a Machine Learning Engineer for our team! As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsungโ€™s deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers. TeleWorld Solutions is a strategic wireless engineering and consulting firm offering network operators, OEMs and tower companies turnkey design, optimization, network dimensioning and deployment services. With the experience of hundreds of thousands of successful implementations, including macro, DAS, Small Cells, and Wi-Fi, the worldโ€™s leading network operators and OEMs trust our knowledge and experience to plan, perform, troubleshoot, and implement an array of technologies and solutions. Come join our Veteran-Friendly Team. The Company with Great Benefits and certified as "A Great Place to Work". Responsibilities 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods. 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment. Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring. Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful. Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation. Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions. Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products. Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts. Communicate key findings to stakeholders using visualizations and/or other suitable methods. Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression. Able to compile analysis output and findings into a succinct story for technical and non-technical audiences. Adapt to changes in a dynamic business environment and, support management initiatives. Qualifications Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred. Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc. Cloud Development Experience โ€“ AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling. Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc). Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing. Experience with MLOPS concepts and environments such as MLFLOW a plus. Experience with basic linux administration and software development in a linux environment. Experience in hardware resource management and configuration โ€“ CUDA, Docker, KubeFlow, Kubernetes, etc a plus Must possess qualities of being curious and eagerness to learn . Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices. Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired. Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus. Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus. Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired. Must have a strong work ethic, integrity and work extremely well independently or in a team environment. Physical/Mental Demands and Working Conditions: The position requires the ability to perform the essential duties and responsibilities in the following environment: Excellent interpersonal and communication skills. Must be skilled in developing and maintaining good working relationships with all appropriate levels within and outside the company. Operate a computer keyboard and view a video display terminal more than 75% of work time in an office work environment Join Our Veteran-Friendly Team: Are you a veteran or a veteran spouse with expertise in telecommunications? Join our team at TeleWorld Solutions, where we value your military experience and provide great benefits. We invite all veterans and veteran spouses to bring their skills and dedication to our team. TeleWorld Solutions is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.