ST1398
End-point Assessment
Level:
6
Version:
1.0
Gateway duration:
4 months
Maximum funding:
£22,000
EPA overview
Elevate your apprentices' success with Accelerate People's innovative approach to the Level 6 Machine Learning Engineer end-point assessment.
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This qualification prepares professionals to design, build, deploy and monitor ML/AI solutions across sectors including healthcare, finance, digital, and government. ML Engineers gather data responsibly, build innovative models that align with business goals, and manage the entire ML lifecycle using industry best practices. They collaborate with Data Scientists, Software Engineers, Product Managers, and other specialists while reporting to Senior ML Operations Engineers or AI Managers.
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Our tech-driven assessment platform delivers rapid 24-hour results, detailed criterion-specific feedback, and flexible scheduling through our industry-experienced assessors. We transform the EPA experience into a streamlined journey that positions apprentices for success in this high-demand field.
Assessment method 1: Project evaluation report, presentation and questioning
A 5,000-word evaluation report based on a work-based project completed pre-gateway, submitted by the end of week 8 of the EPA period. A presentation based on project is also prepared and is submitted at the same time as the report. A presentation with questioning session will follow with an independent assessor; the presentation will take 20 minutes and will be followed by 30 minutes of questioning.
Assessment method 2: Professional discussion
A 90-minute two-way discussion underpinned by the portfolio, which involves both the independent assessor and the apprentice actively listening and participating in a formal conversation.
Grading
Grades awarded are fail, pass, merit, or distinction.
