---
title: "Development of a Machine Learning Pipeline"
ocid: "ocds-b5fd17-099fee66-9387-42e7-abb6-630e765ef27b"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-099fee66-9387-42e7-abb6-630e765ef27b"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-099fee66-9387-42e7-abb6-630e765ef27b.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-099fee66-9387-42e7-abb6-630e765ef27b.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "MET OFFICE"
published: "2024-10-07"
---

# Development of a Machine Learning Pipeline

Buyer: MET OFFICE  
Current stage: Award  
OCID: ocds-b5fd17-099fee66-9387-42e7-abb6-630e765ef27b

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## Summary

The Met Office in Exeter, England, has concluded a procurement process for the development of a Machine Learning (ML) pipeline tool. This procurement falls under the industry category of development software packages (CPV code: 48983000). The contract, valued at £25,000, was awarded to the Bureau of Meteorology on 4th September 2024. The contract period starts on 18th September 2024 and ends on 28th February 2025. The procurement method used was a single tender action, owing to the procurement being below the threshold, and the entire process is now in the award stage.

This tender represents a valuable opportunity for businesses specialising in software development, particularly those focused on AI and ML technologies. Small and medium-sized enterprises (SMEs) are especially well-suited for this type of contract. Engaging in such projects can foster business growth by establishing significant credentials in the public sector and potentially leading to further contract opportunities. Companies experienced in creating bespoke ML solutions would find this procurement highly relevant to their services and capabilities.

## Notice

Development of Machine Learning (ML) pipeline tool

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/f5b45e47-5099-4190-bcf0-741dc6e96ae2 |
| Notice type | Award Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Direct |
| Procurement method details | Single tender action (below threshold) |
| Tender suitability | SME |
| Awardee scale | Large |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 7 Oct 2024 |
| Submission deadline | 4 Sep 2024 |
| Future notice date | Not specified |
| Award date | 3 Sep 2024 |
| Contract period | 17 Sep 2024 - 28 Feb 2025 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £25,000 |
| Lots value | Not specified |
| Awards value | £25,000 |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Not specified |
| Awards status | Active |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | MET OFFICE |
| Locality | EXETER |
| Post town | Exeter |
| Postcode | EX1 3PB |
| Country | England |
| ITL 1 | TLK South West (England) |
| ITL 2 | TLK4 Devon |
| ITL 3 | TLK43 Devon CC |
| Local authority | Exeter |
| Electoral ward | Pinhoe |
| Westminster constituency | Exmouth and Exeter East |
| Delivery location | TLK South West (England) |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | BUREAU OF METEOROLOGY |

## CPV Codes

### Divisions

- 48 - Software package and information systems

### Codes

- 48983000 - Development software package

## Release History

- 7 Oct 2024 at 14:20 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/f5b45e47-5099-4190-bcf0-741dc6e96ae2

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/f5b45e47-5099-4190-bcf0-741dc6e96ae2
  7th October 2024 - Awarded contract notice on Contracts Finder

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-099fee66-9387-42e7-abb6-630e765ef27b. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-099fee66-9387-42e7-abb6-630e765ef27b.json.