Employment tribunal cases against Transport UK London Bus Ltd

Since 2017, Transport UK London Bus Ltd has appeared as a respondent in 9 employment tribunal cases, with £0 in total awards recorded against the employer.

Total cases: 9
Total awarded against: £0
Largest award: —
Most common claim: Breach of contract

Indexed: 5 May 2026

Cases by claim type

11 distinct categories

#	Claim type	Cases
01	Breach of contract	5
02	Unfair dismissal	4
03	Unlawful deduction from wages	4
04	Age discrimination	2
05	Race discrimination	2
06	Whistleblowing	2
07	Religion or belief discrimination	1
08	Working time regulations	1
09	Trade union	1
10	Disability discrimination	1
11	Other	1

All cases

9 cases · chronological

Case ref.	Decided	Jurisdiction	Claimant	Claim types	Award
2302158/2023	14 November 2025	England & Wales	Mr I Ul-Haq	Age discrimination, Breach of contract, Race discrimination, Religion or belief discrimination, Unfair dismissal	—
6011712/2024	15 September 2025	England & Wales	Jane McGuire	Breach of contract, Unlawful deduction from wages	—
3309755/2023	14 August 2025	England & Wales	Mr Abdullahi Abdi & others listed on the schedule	Breach of contract, Unlawful deduction from wages	—
3303498/2024	13 August 2025	England & Wales	Mr J Godinho	Unfair dismissal	—
6023307/2024	12 May 2025	England & Wales	Mags Needham	Working time regulations	—
2300531/2023	14 January 2025	England & Wales	Mr K Vouzon	Whistleblowing, Race discrimination, Trade union, Unlawful deduction from wages	—
2304486/2023	14 October 2024	England & Wales	Miss L Emanus	Age discrimination	—
2305643/2021	7 August 2024	England & Wales	Mr David Elugbadebo	Breach of contract, Disability discrimination, Whistleblowing, Unfair dismissal, Unlawful deduction from wages	—

Methodology

Data extracted from published employment tribunal judgments on gov.uk. Case reference, decision date, judge, venue and claim categories come from structured metadata. Claimant and respondent names are extracted from the judgment PDF text. Outcomes and compensation are not yet populated for every case — see how the data is built.