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Machine learning engineer Apprenticeship in London

Level 6 · 24 months · Funding band: £22,000

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9 providers deliver this apprenticeship in London:

Showing 1–9 of 9 training providers

Multiverse
Multiverse
Employer: 3.0

Multiverse is an upskilling platform focused on AI, data and technology skills, working with employe...

BPP
BPP
Employer: 3.0

BPP is described as a leading global education business focused on optimising performance at every s...

Corndel
Corndel
Employer: 4.0

<p>Corndel is an expert in workforce capability transformation. We specialise in developing the crit...

QA
QA
Employer: 3.0

QA is a technology and digital skills training provider offering a wide portfolio of apprenticeships...

BPP University
BPP University
Employer: 3.0

BPP is a global education business that delivers professionally focused training and qualifications ...

The University of West London
The University of West London
Employer: 4.0

The University of West London (UWL) is a UK public research university that positions itself as “The...

Metadata Training
Metadata Training

Metadata Training is a specialist training provider focusing on business analysis, systems developme...

Founders and Coders
Founders and Coders
Employer: 4.0

Founders and Coders is a UK-based training provider offering free, employer-focused programmes in so...

London Vesta College
London Vesta College
Employer: 4.0

London Vesta College is a digital education provider specialising in IT and digital sector training ...

Standard Details

Reference
795
Level
Level 6
Typical Duration
24 months
Sector
Digital apprenticeships
Description
The ML Engineer gathers data from different sources to design, build, deploy and validate machine learning and or artificial intelligence solutions.

Funding

Maximum funding
£22,000
Apprentices aged 16 to 24
Fully funded by the government
Aged 25 and over
Non-levy employers pay £1,100 (5%). Levy payers use their levy, then pay £5,500 (25%) once it runs out.

Paying the levy? New funds now expire after 12 months. See what you could lose