Awarded contract
Published
RM6102 DPS Call Off Contract for Level 3 and Level 5 Learning and Development Apprenticeship Services
4 suppliers have saved this notice.
Looks like a fit? Save this tender and qualify it in Stotles
Description
DPS Call-Off contract for Level 3 Learning and Development Practitioner and Level 5 Learning and Development Consultant Business Partner Apprenticeship Services. This procurement was undertaken through the CCS Apprenticeship Training Dynamic Marketplace DPS (RM6102) following the Rapid Award process (ref 16758). The contract is awarded for an initial period of 24 months with an option to extend for up to 24 months. Total Awarded Value is maximum of all charges including all optional contract extensions. Procurement reference: CQC RCCO 038 Updated 20.03.23 - files uploaded as links have been removed and replaced as attachments to this notice.
Qualify tenders faster with AI summaries - see key details in the Stotles app
Never miss a tender again
Get alerts, AI summaries and tools to qualify faster
Explore similar pre-tenders, open or awarded contracts
Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.
East Riding of Yorkshire Council
70,000 GBP
Published 19 hours ago
East Riding of Yorkshire Council
75,000 GBP
Published 19 hours ago
County Durham and Darlington NHS Foundation Trust
64,000 GBP
Published 19 hours ago
East Riding of Yorkshire Council
72,000 GBP
Published 19 hours ago
Scottish Government
23,000,000
Published 2 days ago
Valuation Office Agency
714,000 GBP
Published 2 days ago
Scottish Government
23,000,000
Published 2 days ago
Ministry of Justice
122,190 GBP
Published 2 days ago
Explore top buyers for public sector contracts
Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.
Sign up to the Stotles Tender Tracker for free
Find even more contracts with advanced search capability and AI powered relevance scoring.