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Apprentice Machine Learning Testing Jobs in Jacksonville, FL

Amgen

Sr Machine Learning Engineer

Jacksonville, FL · On-site +1

$113K - $149K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this ... Conduct A/B testing and experimentation to optimize model performance. * Work closely with data ...

Voltify

Apprentice Electrician

Jacksonville, FL · On-site

$32/hr

Use electrical and electronic diagnostic toolsincluding multimeters, ammeters, continuity testers ... machinery, loud noise, and fumes. Basic Qualifications * At least 18 years of age by the ...

Voltify

Apprentice Electrician

Jacksonville, FL

$32/hr

Use electrical and electronic diagnostic tools-including multimeters, ammeters, continuity testers ... machinery, loud noise, and fumes. Basic Qualifications * At least 18 years of age by the ...

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Apprentice Machine Learning Testing information

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

As of Jul 10, 2026, the average hourly pay for apprentice machine learning testing in Jacksonville, FL is $17.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $19.62 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 Jacksonville, FL? For Apprentice Machine Learning Testing jobs in Jacksonville, FL, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Jacksonville, FL look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Jacksonville, FL are:
What cities near Jacksonville, FL are hiring for Apprentice Machine Learning Testing jobs? Cities near Jacksonville, FL with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you
Sr Machine Learning Engineer

Sr Machine Learning Engineer

Amgen

Jacksonville, FL • On-site, Remote

$113K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

Career CategoryInformation SystemsJob Description

Join Amgen's Mission of Serving Patients

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Senior Machine Learning Engineer

What you will do

Let's do this. Let's change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.

Roles & Responsibilities:

  • Collaborate with data scientists to develop, train, and evaluate machine learning models.

  • Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.

  • Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.

  • Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.

  • Develop and implement monitoring systems to track model performance and identify issues.

  • Conduct A/B testing and experimentation to optimize model performance.

  • Work closely with data scientists, engineers, and product teams to deliver ML solutions.

  • Stay updated with the latest trends and advancements

Must-Have Skills:

  • Solid foundation in machine learning algorithms and techniques

  • Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)

  • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)

  • Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills

Good-to-Have Skills:

  • Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing

  • Experience with data engineering and pipeline development

  • Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

  • Knowledge of NLP techniques for text analysis and sentiment analysis

  • Experience in analyzing time-series data for forecasting and trend analysis

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications.

Basic Qualifications:

Doctorate degree
OR
Master's degree and 2 years of Computer Science experience
OR
Bachelor's degree and 4 years ofComputer Science experience
OR
Associate's degree and 8 years of Computer Science experience
OR
High school diploma / GED and 10 years of Computer Science experience

Preferred Qualifications:

  • Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.

Soft Skills:

  • Excellent analytical and troubleshooting skills.

  • Strong verbal and written communication skills

  • Ability to work effectively with global, virtual teams

  • High degree of initiative and self-motivation.

  • Ability to manage multiple priorities successfully.

  • Team-oriented, with a focus on achieving team goals.

  • Ability to learn quickly, be organized and detail oriented.

  • Strong presentation and public speaking skills.

What you can expect from us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts

  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan

  • Stock-based long-term incentives

  • Award-winning time-off plans

  • Flexible work models, including remote and hybrid work arrangements, where possible

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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Salary Range

156,190.05USD -211,315.95USD

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