Tender Details

Country: United Kingdom
Summary: Wp3.5.1 - Development of Datasets for Machine Learning - Longops
GBT Ref No: 64499350
Deadline: 29 Apr 2022
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: T/PJP027/22
Purchaser's Detail:
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Description:
WP3.5.1 - Development of Datasets for Machine Learning - LongOps
Process :-5 Open Procedure (OJEU)
Type of contract :-Services
CPV codes :-48000000-8 Software package and information systems
72230000-6 Custom software development services
72262000-9 Software development services
73000000-2 Research and development services and related consultancy servic
72000000-5 IT services: consulting, software development, Internet and supp
48100000-9 Industry specific software package
48150000-4 Industrial control software package
48328000-3 Image-processing software package
48461000-7 Analytical or scientific software package
48518000-2 Emulation software package
48627000-9 Real-time operating system software package
48900000-7 Miscellaneous software package and computer systems
48931000-3 Training software package
48960000-5 Drivers and system software package
48983000-2 Development software package
72212000-4 Programming services of application software
...
Documents:

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Wp3.5.1 - Development of Datasets for Machine Learning - Longops - Uk Tender

The UNITED KINGDOM ATOMIC ENERGY AUTHORITY, a Government sector organization in United Kingdom, has announced a new tender for Wp3.5.1 - Development of Datasets for Machine Learning - Longops. This tender is published on UkTender under GBT Ref No: 64499350 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2022-04-29.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.