Machine Learning and AI Apprenticeship Coach

General information

Reference

Vacancy details

Talent pool

Delivery - Learning Support Technical

Title

Machine Learning and AI Apprenticeship Coach

Contract type

QA Ltd Permanent

Job advert

Machine Learning and AI Apprenticeship Coach
Remote (home-based)

Full time, 37.5 hrs per week

Job purpose:

You will join QA as an apprenticeship coach; your focus will be to provide learners with feedback and support on Data concepts by coaching and mentoring the learners working towards the successful and timely achievement of their apprenticeship programme.

Job Description:

• Coach and support a case-load of learners through their Machine Learning Engineer L6 and/or Artificial Intelligence L7 Apprenticeship.
• Collaborate with our internal Learning Specialists and course developers to ensure learners successfully achieve their apprenticeship programme on time.
• Provide clear and detailed written feedback on learning activities and goal completion
• Support learners online across a variety of modules specifically helping them apply their skills to their current job roles.
  

About you:

• Recent industry experience working in an AI/ML environment
• Experience across the following: Python, Statistics, Machine Learning, Generative AI, Data pipelines
  A technical degree
• Prior coaching experience or a background in apprenticeships is desirable but not essential
• Working in a fast paced, highly compliant environment
  

What We'll Do For You!

About QA

At QA, we believe the future belongs to organisations that are able to learn, master and apply new skills at pace and scale. As the largest tech training company in the UK and the fastest-growing in the US, we partner with 96% of the FTSE and most of the Fortune 500. We have served over 4,000 customers and 1+ million learners since 1985.

We believe skills alone aren’t enough but need to be applied back to the business in order to effect change. We do this through tailored learning programmes that connect learning across an organisation’s siloes, create continuity for learners, and feature collaborative, cohort-based modalities to apply skills at pace and at scale. Our unique end-to-end learning solution draws from deep expertise across apprenticeships and instructor-led training, and self-paced learning.

Taking time for ourselves is so important these days which is why we dedicate some of our benefits to support your health & wellbeing. These include: 27 days holiday each year, holiday buying scheme, Medicash plan, Gympass, Cycle to Work scheme, Employee Assistance Programme, and 2 days per year charity leave.

We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment.

We are proud to be a Disability Confident employer. All applicants with a disability who fulfil the role criteria will be progressed to the next stage of the process. Please let us know what reasonable adjustment, if any, you require.

If this is what you’re looking for, here are the next steps:

Hit the apply button and register on our QA website to fill out our quick and easy application form.

Vacancy location

Location

UK, Other, Home Based

Handled by

Handled by

• Robert Doak
• Vidita Kabbe - QA

Primary handler

Vidita Kabbe - QA

Last name

Kabbe - QA

Forename

Vidita

Email

[email protected]

Job Description

Attachment