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Apprentice Machine Learning Testing Jobs in Dallas, TX

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years ... Solid understanding of statistical analysis , probability, hypothesis testing, and experimental ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in ... Solid understanding of statistical analysis , probability, hypothesis testing, and experimental ...

Capital One

Senior Machine Learning Engineer

Plano, TX · On-site +1

$100K - $137.30K/yr

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

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98.10K - $129.20K/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 ...

Vanguard

Machine Learning Engineer, Specialist

Dallas, TX

$113.30K - $136K/yr

... adversarial testing service. We're looking for people who are technically sharp and effective ... Performs the development and programming of machine learning integrated software algorithms to ...

Waabi

Senior / Staff Machine Learning Ops Engineer

Dallas, TX · On-site +1

$157K - $234K/yr

... testing and deployment processes for machine learning models. - Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability. - Optimize machine learning ...

Waabi

Senior / Staff Machine Learning Ops Engineer

Dallas, TX · On-site +1

$157K - $234K/yr

... testing and deployment processes for machine learning models. - Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability. - Optimize machine learning ...

Resolve Tech Solutions

AI & ML Intern

Addison, TX · On-site

Director, AI Strategy & Architecture Position Summary The AI & ML Intern at Juno Labs will support the design, development, and testing of artificial intelligence and machine learning models to solve ...

Resolve Tech Solutions

AI & ML Intern

Addison, TX

Director, AI Strategy & Architecture Position Summary The AI & ML Intern at Juno Labs will support the design, development, and testing of artificial intelligence and machine learning models to solve ...

CGI

Machine Learning Operations Engineer

Dallas, TX

$113.70K - $136.60K/yr

... machine learning models in production environments. Desired candidate will work closely with ... Integrate with existing model serving frameworks to support testing, deployment, and rollback ...

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Apprentice Machine Learning Testing information

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$10

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$27

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

As of May 29, 2026, the average hourly pay for apprentice machine learning testing in Dallas, TX is $19.15, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $20.91 per hour, depending on experience, location, and employer.

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 kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’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 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 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 Dallas, TX? For Apprentice Machine Learning Testing jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Dallas, TX look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Apprentice Machine Learning Testing jobs? Cities near Dallas, TX with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you
Infographic showing various Apprentice Machine Learning Testing job openings in Dallas, TX as of May 2026, with employment types broken down into 8% As Needed, 72% Full Time, 11% Part Time, 3% Temporary, 3% Contract, and 3% Nights. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $39,834 per year, or $19.2 per hour.

Machine Learning Ops Lead

Invitus Strategy Solutions LLC

Fort Worth, TX • On-site

$140K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Invictus Strategy & Solutions is a Service-Disabled Veteran-Owned Small Business (SDVOSB) providing strategic workforce solutions to mission-critical government and commercial operations. From cleared federal programs to complex industrial projects, we deliver top-tier professionals who drive performance, safety, and results. Our commitment to operational excellence and customer alignment makes us the partner of choice for organizations seeking agile and reliable talent solutions.
Summary
Invictus Strategy & Solutions is seeking a Senior Machine Learning Engineer and MLOps POD Lead to join our growing technical delivery team in Fort Worth, Texas. This on-site role requires strong hands-on experience designing, deploying, and operating production grade machine learning systems integrated with enterprise data platforms.
The selected candidate will lead a small delivery pod of three to five engineers and data scientists responsible for building and operating scalable machine learning pipelines. This role combines hands on MLOps execution with technical leadership, ensuring machine learning systems operate reliably across commercial and government environments with varying regulatory, security, and operational requirements.
This role requires an engineer who remains directly involved in architecture, pipeline design, and production operations while guiding a small team responsible for delivery outcomes.
Key Responsibilities
MLOps Architecture and Execution
  • Design, deploy, and operate end to end machine learning pipelines supporting large scale datasets integrated with enterprise data lakes and data warehouses
  • Build and maintain production grade MLOps systems across cloud platforms including Azure, AWS, and GCP with primary emphasis on Microsoft Azure
  • Implement CI and CD pipelines supporting model training, versioning, deployment, and lifecycle management
  • Utilize MLflow for experiment tracking, model registry management, and model lifecycle governance
  • Monitor model performance, data drift, and system reliability across production environments
  • Ensure machine learning services meet defined reliability and SLA expectations
  • Collaborate with Data Engineering teams to integrate ML pipelines with ETL workflows, feature engineering pipelines, and enterprise data platforms
  • Deploy and manage ML workloads on Kubernetes based environments

Technical Leadership and Delivery
  • Lead a delivery pod of three to five engineers and data scientists responsible for building and operating ML systems
  • Provide technical guidance, mentorship, and code review support to team members
  • Translate business, operational, and regulatory requirements into scalable ML system architectures
  • Own delivery outcomes across commercial and public sector engagements while maintaining quality, security, and compliance requirements

Security, Compliance, and Responsible AI
  • Support machine learning implementations aligned with applicable standards including the NIST AI Risk Management Framework
  • Ensure secure handling of sensitive data including healthcare, bioscience, or government datasets
  • Implement model documentation, bias detection, and mitigation practices across deployed ML systems
  • Support governance and operational oversight for machine learning lifecycle management

Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline, or equivalent professional experience
  • U.S. Citizenship with the ability to obtain and maintain a government security clearance
  • Minimum seven years of experience in machine learning engineering or MLOps supporting production systems
  • Strong proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar tools
  • Hands on experience designing and deploying machine learning systems in cloud environments including Azure, AWS, or GCP, with demonstrated depth in Microsoft Azure environments
  • Experience implementing CI and CD pipelines for machine learning workflows
  • Hands on experience supporting enterprise data platforms including data lakes, data warehouses, and ETL pipelines
  • Experience deploying or operating workloads on Kubernetes based platforms
  • Strong foundation in software engineering best practices including version control, automated testing, and documentation

Preferred
  • Experience supporting machine learning systems for commercial clients or federal or state government programs
  • Prior technical leadership experience guiding small engineering teams
  • Experience deploying or operating ML systems in regulated cloud environments including Azure Government
  • Familiarity with infrastructure as code tools such as Terraform
  • Experience with AI governance frameworks, model risk management, or ethical AI practices
  • Relevant certifications may include: Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, AWS Certified Machine Learning Specialty, or TensorFlow Developer Certificate

Compensation and Benefits
  • Employer-paid medical, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays
  • Professional development and certification reimbursement

Invictus Strategy & Solutions is unable to provide sponsorship at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship requirements.
EEO Statement
Invictus Strategy & Solutions is an equal opportunity employer. All qualified applicants will receive consideration without regard to any protected characteristic.
The pay range for this role is:
140,000 - 150,000 USD per year (GGI)

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