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Machine Learning Engineer

Coming soon

Level: 6
Standard code: ST1398
Standard version: 1.0
Typical duration to gateway (excluding EPA period): 24 months
Maximum funding: £22,000

Apprenticeship Overview

A level 6 apprenticeship, for individuals who work for organisations that handle large data sets, including government departments, agriculture, animal care, the NHS, financial services, IT companies, retail, media, and education providers. The main purpose of the role is to collect data from various sources to design, build, implement, and validate machine learning (ML) and artificial intelligence (AI) solutions. They streamline the process of deploying, maintaining, and monitoring ML models, managing the entire lifecycle from initial deployment to testing and updates, following industry best practices to ensure efficient and reliable machine learning systems.

 

EPA Gateway

In addition to the employer’s confirmation that the apprentice is working at or above the level in the occupational standard, the apprentice must have completed the following gateway requirements prior to beginning end-point assessment (EPA).

English and Mathematics Level 2

For those with an education, health and care plan or a legacy statement, the apprenticeship’s English and Mathematics minimum requirement is Entry Level 3. British Sign Language (BSL) qualifications are an alternative to English qualifications for those who have BSL as their primary language.

Assessment Method 1 (AM1): Project Evaluation Report, Presentation and Questioning

A summary (of no more than 500 words) outlining the title and scope of the project. It should align with the assessment criteria and knowledge, skills and behaviours listed in the assessment plan for AM1.

Assessment Method 2 (AM2): Professional Discussion

A selection of the best pieces of evidence gathered by an apprentice during their apprenticeship. The evidence should demonstrate how an apprentice has carried out specific work tasks mapped to the assessment criteria and knowledge, skills and behaviours listed in the assessment plan for AM2.

 

Machine Learning Engineer EPA

The EPA consists of the following assessment methods:

AM1- 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.

AM2- 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

Apprentices must pass both assessment methods (1 & 2), which can be taken in any order, to successfully complete their apprenticeship. Grades awarded are fail, pass, merit, or distinction. Apprentices will receive their grade ten working days after completing their final assessment method.

Links

Link to Apprenticeship Standard

Link to Assessment Plan

Register your organisation and apprentices with us to access our EPA preparation materials.

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