Published date: 30 December 2017
Closed opportunity - This means that the contract is currently closed. The buying department may be considering suppliers that have already applied, or no suitable offers were made.
Contract summary
Industry
Research and experimental development services - 73100000
Research and development consultancy services - 73200000
Design and execution of research and development - 73300000
Location of contract
London
Value of contract
£15,000 to £25,000
Procurement reference
CQC PSO 132
Published date
30 December 2017
Closing date
16 January 2018
Contract start date
2 February 2018
Contract end date
30 March 2018
Contract type
Service contract
Procedure type
Competitive quotation (below threshold)
The buyer selects a group of potential suppliers to invite to tender.
This procedure can be used for procurements below the relevant contract value threshold.
Contract is suitable for SMEs?
Yes
Contract is suitable for VCSEs?
Yes
Description
Our requirement is to gain a thorough understanding of, and practical experience in, applying machine learning methods and so we are seeking an expert with an understanding of our role as a regulator who is able to help us achieve this. We require the ability to have an ongoing dialogue with an advisor with the outcome that a small number of CQC staff have a good understanding of and are able to apply the methods by the end of the contract.
The provider should have considerable experience providing machine learning advice and an excellent knowledge of academic research in this area and its practical applications. The provider needs to have an interest in, and knowledge of, the role of CQC. They should ideally understand the regulatory use of statistical methods and the framework in which we operate and should ensure that their advice is appropriate and stands up to public scrutiny should we choose to share it externally.
There are two requirements. The first is specifically to advise on and discuss the applicability of a range of machine learning methods that are new to CQC. It is also to provide written materials in the form of a report and face to face training/lecturing suitable for the level of the Statistics team. The machine learning methods must include the following:
• Neural networks
• Support vector machines
• Naïve Bayes
• Random forests, boosted trees
More information
Additional text
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The requirement is set out in the Statement of Requirements of the tender document available at CQC e-Sourcing Portal: https://cqc-commercial.bravosolution.co.uk
If your organisation does not already have an account on the portal, please select 'Register Free' and complete the company information to request a user name and password. On receipt of your account details, you may search for this opportunity by project name and select 'Register Interest'.
To be considered as a Bidder you must complete and submit a Bid by the deadline of 17:00 16 January 2018
Please allow sufficient time to make your return as late returns will not be permitted by the system.
About the buyer
Address
Citygate
newcastle upon tyne
ne1 4pa
England
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Closing: 16 January 2018
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