1

Apprentice Machine Learning Testing Jobs (NOW HIRING)

A/B Testing and Experimentation : Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

Machine Learning Engineer

Centreville, VA · On-site

$102K - $144K/yr

Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and ... verification testing. This role also involves support for experimentation and fielded systems ...

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Conduct thorough testing and validation to maintain the accuracy and reliability of algorithms. Requirements * M.S. or higher in Computer Science, Machine Learning, AI, or related fields. * 3+ years ...

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production. * Drive delivery for our product milestones, continually ...

next page

Showing results 1-20

Apprentice Machine Learning Testing information

See salary details

$11

$19

$28

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

As of Jun 19, 2026, the average hourly pay for apprentice machine learning testing in the United States is $19.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.15 per hour, depending on experience, location, and employer.

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 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 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.

More about Apprentice Machine Learning Testing jobs
What cities are hiring for Apprentice Machine Learning Testing jobs? Cities with the most Apprentice Machine Learning Testing job openings:
What are the most commonly searched types of Machine Learning Testing jobs? The most popular types of Machine Learning Testing jobs are:
What states have the most Apprentice Machine Learning Testing jobs? States with the most job openings for Apprentice Machine Learning Testing jobs include:
What job categories do people searching Apprentice Machine Learning Testing jobs look for? The top searched job categories for Apprentice Machine Learning Testing jobs are:
Machine Learning Engineer

Machine Learning Engineer

ProSidian Consulting

Alexandria, VA • Hybrid

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Machine Learning Engineer

ProSidian is a Management And Operations Consulting Services firm that focuses on providing value to clients through tailored solutions based on industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management | Compliance | Business Process | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital. We help forward-thinking clients solve problems and improve operations.

ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics for Program Support on a Exempt W2: No Overtime Pay Basis located in the Mid Atlantic Region and listed under a Systems Engineer Labor Category as a Engagement Team Mid Level Professional aligned under services related to NAICS: 541611 - Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services - DPLH Est.: 1920 Hrs. ST | 0 Hrs. OT on a Exempt W2: No Overtime Pay Contract Contingent Basis, generally located across the Alexandria, VA (Hybrid) Across The Mid Atlantic Region supporting a Human Capital Analytics & IT Modernization for Federal science agency HR modernization

The Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics is aligned with GSA Labor Category: Systems Engineer.

We seek Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics candidates with relevant Government And Public Services Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Government And Public Services Sector Clients such as NSF. 0

Provide services and support as a Machine Learning Engineer [Business Analytics Support: HR Technology Ecosystem, And Enterprise-Wide Decision-Making Capabilities Enhancement] in the Government And Public Services Industry Sector focusing on HC | Human Capital Solutions for clients such as National Science Foundation (NSF | OCHCO / OCIO) | Office of the Chief Human Capital Officer (OCHCO) / Office of the Chief Information Officer (OCIO) Generally Located In Alexandria, VA (Hybrid) and across the Mid Atlantic Region (Of Country/World) Working Hybrid On/Off Client Site.

Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.

Predictive Workforce Analytics: Implement and maintain workforce analytics dashboards and predictive models using agency-standard analytics platforms (e.g., Oracle Analytics Server (OAS), Power BI, Tableau) and appropriate machine learning tools, in coordination with OCIO and existing data architecture.

Desired Qualifications For Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics Candidates: 5+ years ML.

Education / Experience Requirements / Qualifications Bachelor's/Master's. 5+ years ML.

Skills Required Primarily focused on Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services initiatives and aligned with Program Support activities Data Management & Business Intelligence - Predictive Workforce Analytics Functional Area Activities.

ML, Python

Problem solving

Artifacts: pipelines

Standard Skills Required: Proficiency in project management methodologies and tools. | Exceptional leadership and interpersonal skills for effective team management. | Outstanding time management and prioritization abilities to meet project milestones. | Adaptability to changing project requirements and priorities | Ability to multi-task and pay close attention to detail. | Excellent analytical, organizational and time management skills | Strong communication skills, both oral and written.

EEO Statement: We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We Provide career opportunities spanning various disciplines and geographic locations, with projects that our employees plan, design, build, and operate as diverse as the needs of our clients.

Full Time Regular VISA Sponsorship: NoWe will not support sponsorship, i.e., H-1B or TN Visas for this position. U.S. Citizenship Required You must be a United States Citizen

Background Check And Drug testing: ProSidian reserves the right to require background checks, including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, ProSidian may conduct drug testing for designated positions.

Supports predictive systems

As a condition of employment, all employees must meet the requirements of their roles: establish, manage, pursue, and achieve annual goals and objectives with Documented Goals for each of the firm's Eight ProSidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and support all business development and other efforts on behalf of ProSidian.

Personal Effectiveness – The ability to manage tasks, time, and relationships efficiently, achieving consistent, impactful results.

Continuous Learning – Ongoing pursuit of knowledge, skills, and adaptability to remain relevant, competent, and professionally competitive.

Leadership – Inspiring, guiding, and motivating others toward shared goals, fostering accountability, collaboration, and strategic organizational success.

Client Service – Delivering responsive, high-quality solutions that address client needs, build trust, and strengthen long-term partnerships.

Business Management – Coordinating people, processes, and resources to achieve strategic objectives, operational efficiency, and sustainable organizational performance.

Business Development – Identifying, pursuing, and securing growth opportunities through strategic relationships, market insight, and innovative solutions.

Technical Expertise – Applying specialized knowledge, analytical skills, and practical experience to solve complex problems with accuracy.

Innovation & Knowledge Sharing (Thought Leadership) – Generating creative solutions, sharing insights, and influencing industry direction through expertise, collaboration, and continuous improvement.

Business Tools – understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word, proficient with Adobe Acrobat, data analytic tools, and Visio, and the ability to quickly learn other tools, as necessary.

Commitment - to work with intelligent, interesting people with diverse backgrounds to solve the most significant challenges across private, public, and social sectors.

Curiosity – the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together.

Humility – exhibits grace in success and failure while doing meaningful work where skills have an impact and make a difference.

Willingness - to constantly learn, share, and grow and to view the world as their classroom.

ProSidian Employee Benefits and Highlights - Your health and well-being are crucial to ProSidian. At ProSidian, we invest in our employees to help them maintain their health and achieve work-life balance. We are pleased to offer the Employee Benefits Program, designed to promote your health and personal well-being. Our growing list of benefits currently includes the following for Full-Time Employees:

Competitive Compensation: The pay range is competitive and includes group health benefits, pre-tax employee benefits, and performance incentives. The company contributes a fixed dollar amount each month toward the plan chosen for medical and dental benefits, with contributions deducted on a pre-tax basis.

Group Medical / Dental / Vision Health Insurance Benefits: ProSidian partners with network providers to offer eligible employees a variety of medical and dental plans, including high-deductible health plans and PPOs. ProSidian also provides plans for both high and low vision.

401(k) Retirement Savings Plan: The 401(k) Retirement Savings Plans allow eligible employees to save for retirement. A variety of investment options are available, along with support from a personal financial planner. The plan operates as a pre-tax Safe Harbor 401(k) Retirement Savings Plan that includes a company match.

Vacation and Paid Time-Off (PTO) Benefits: Eligible employees can use PTO for vacations, doctor's appointments, or personal events. These benefits include 2 weeks of vacation, 3 sick days, 10 ProSidian holidays, and government holidays..

Pre-Tax Payment Programs: Pre-Tax Payment Programs are premium-only plans (POPs) that provide eligible employees with a comprehensive Flexible Spending Account (FSA) Plan and associated tax benefits.

Purchasing Discounts & Savings Plans: We aim for your financial success; thus, we offer a Purchasing Discounts and Savings Plan through the Corporate Perks Benefit Program. This program provides special discounts to eligible employees on everyday purchases of products and services.

Security Clearance: Due to the nature of our consulting engagements, a security clearance is necessary for engagement teams managing sensitive work in the Federal Marketplace. Security clearance is a valuable asset in your professional portfolio, enhancing your credentials.

Pro


ProSidian Consulting logo

About ProSidian Consulting

Sourced by ZipRecruiter

ProSidian is a management and operations consulting firm with a reputation for its strong national practice spanning six solution areas including Risk Management, Energy & Sustainability, Compliance, Business Process, IT Effectiveness, and Talent Management. We help clients improve their operations. Linking strategy to execution, ProSidian assists client leaders in maximizing company return on investment capital through design and execution of operations core to delivering value to customers. Visit www.ProSidian.com or follow the company on Twitter at www.twitter.com/ProSidianfor more information.

Industry

Business schools and computer and management training

Company size

11 - 50 Employees

Headquarters location

Charlotte, NC, US

Year founded

2004

Social media