Machine Learning Opportunities at Ofcom
Ofcom is the independent regulator and competition authority for the UK's communication industries, with the declared purpose To Make Communications Work for Everyone. This means encouraging competition and recognising innovation whilst protecting both the competing entities and their customers.
Ofcom has been recently appointed as the regulator for the Online Safety regime. These new responsibilities, alongside new duties in telecoms security, build on Ofcom's existing powers for video-sharing platforms (VSP) and constitute the most significant expansion of its remit since Ofcom was formed in 2003.
Enhancing the Machine Learning function and developing its team is a key focus for Ofcom.
Applications at all levels are welcome; from practitioner through to leadership roles.
Manchester, Edinburgh or London/hybrid/remote working
The Machine Learning Opportunities with Ofcom:
Ofcom is a forward-thinking, inclusive employer and recognises the value of diversity to truly “make communications work for everyone”. Here at Ofcom, our vision is to ensure people are part of an environment when they can truly strive and be themselves, therefore we aim to recruit from the widest pool of candidates possible – irrespective of social background, ethnicity, sexual orientation, gender or disability. We are an organisation that strives to be truly representative of the whole of the UK and our aim is to be an employer of choice for everyone.
We champion flexible working and so wherever possible we support flexible working patterns including job shares.
As a Disability Confident employer, we guarantee to interview disabled applicants who meets the minimum selection criteria of the role as outlined in the job specification, if applicants would like to be considered under this scheme. We pride ourselves on ensuring all candidates are treated fairly throughout the application and selection process including making our process as accessible as possible. You can find more information on the scheme here...