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Apprentice Machine Learning Testing Jobs in Denver, CO

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... Raise the Bar - Foster a culture of technical excellence by championing best practices in testing ...

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build ... Implement unit, integration, and system-level testing for ML models , covering data validation ...

Sr. Machine Learning Software Engineer

Denver, CO · On-site

$126K - $166K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build ... Implement unit, integration, and system-level testing for ML models , covering data validation ...

... machines, blowtorches, and hand tools. Apprentices of this skilled trade enroll in a time-based program for 2 years with an on the job learning attainment of 4,000 hours, supplemented by the minimum ...

... machines, blowtorches, and hand tools. Apprentices of this skilled trade enroll in a time-based program for 2 years with an on the job learning attainment of 4,000 hours, supplemented by the minimum ...

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

Design, implement, and optimize machine learning models for applications such as object detection ... Conduct performance testing and validation of AI/ML models using rigorous evaluation metrics.

AI/ML Engineer II

Lone Tree, CO

$99K - $136K/yr

Design, implement, and optimize machine learning models for applications such as object detection ... Conduct performance testing and validation of AI/ML models using rigorous evaluation metrics.

In this role, you will use advanced analytics and machine learning models to uncover trends and ... A/B testing • Proficiency in natural language processing • Understanding of time-series ...

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Apprentice Machine Learning Testing information

See Denver, CO salary details

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

As of Jul 9, 2026, the average hourly pay for apprentice machine learning testing in Denver, CO is $19.93, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.78 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.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Denver, CO? For Apprentice Machine Learning Testing jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Denver, CO look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Denver, CO are:
Machine Learning Engineer / MLOps Engineer

Machine Learning Engineer / MLOps Engineer

Bet365

Denver, CO

Full-time

Posted 8 days ago


Bet365 rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies


Job description

hackajob is collaborating with Bet365 to connect them with exceptional professionals for this role.

We are seeking a highly pragmatic, results-driven Machine Learning (ML) Engineer to join our newly established US Data team. In this role, you will build the reliable, automated infrastructure that powers our machine learning lifecycle.

Your primary mission is to operationalize and scale the models developed by our data science team, taking them from prototype to robust, production-grade systems with high velocity.

You’ll focus on building reliable, automated and maintainable systems, keeping solutions pragmatic rather than over-engineered. You will also be passionate about automation, software engineering excellence, and MLOps.

You will report to the Data Science Team Leader and work in close alignment with the US AgentOps Team Lead (responsible for agentic and model orchestration platforms) and our UK technical excellence center. You will act as the bridge between model development and reliable platform engineering.

Preferred Skills and Experience

  • Proven experience as an ML Engineer, Data Engineer, or Software Engineer with a clear focus on deploying, monitoring, and scaling machine learning systems in production.

  • A pragmatic, proactive approach to system design, prioritizing speed, reliability, and business value over complex, theoretical infrastructure.

  • Strong Python programming skills, with a solid grasp of software engineering patterns, API development, and automated testing frameworks.

  • Extensive hands-on experience with Google Cloud Platform (GCP).

  • Practical experience with Vertex AI (specifically Vertex AI Pipelines, Endpoints, and Workbench).

  • Proficiency with containerization (Docker) and container orchestration tools.

  • Excellent communication skills, with the ability to translate software engineering concepts for data scientists and operational requirements for product leads.

  • Experience utilizing Infrastructure as Code (IaC) tools such as Terraform.

  • Experience running containerized workloads on Google Kubernetes Engine (GKE).

  • Familiarity with real-time streaming tools like Apache Kafka or GCP Pub/Sub.

What you will be doing

  • Owning the deployment of machine learning models to production. Build and maintain scalable, low-latency prediction endpoints using GCP Vertex AI.

  • Designing, implementing, and maintaining CI/CD/CT (Continuous Integration, Continuous Delivery, Continuous Training) pipelines for machine learning workflows using Vertex AI Pipelines, Cloud Build, and related GCP tools.

  • Setting up automated monitoring and alerting frameworks (e.g., Vertex AI Model Monitoring) to track data drift, model drift, and system performance in real-time.

  • Championing best practices for software engineering within the Data Science team, including robust unit testing, containerization, version control, and CI/CD automation.

  • Working closely with the Data Science Team Leader, Junior Data Scientists, and the AgentOps Team Lead to accelerate deployment cycles, remove operational bottlenecks, and maintain high deployment velocity.


What Bet365 employees say

Pay

Benefits

Hours and flexibility

Workplace

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