Machine Learning Engineer (Associate Level) - London, Manchester or Edinburgh with hybrid working - J12221
As the UK's broadcast regulator, Ofcom upholds standards on TV and radio. And it makes sure communications companies stick to the rules and treat their customers fairly. To support its work, it carries out world-class research in exciting areas such as technology and consumer behaviour.
Ofcom has recently been appointed as the regulator for the Online Safety regime. These 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 it was formed in 2003. As such, it is building a new Machine Learning team to support its expansion. If you have significant expertise in this field and want to work on ground-breaking, cutting edge projects using the latest technology at this crucial time for Ofcom, then we would like to hear from you.
As a Junior Machine Learning Engineer, you will work within the Data Innovation Hub to help deliver a programme of work that will develop and share fundamental understanding of the algorithms that underpin online services to help meet Ofcom's Online Safety objectives. You will use your knowledge of Machine Learning and Deep Learning techniques to develop pilot projects in the areas of content moderation and/or recommender systems, including underlying work in natural language understanding or video/image processing. This will contribute to work throughout the Online Safety programme including transparency reports and platform monitoring.
Knowledge and Experience:
• Demonstrable practical experience developing ML and DL models, preferably in one or more of the following areas:
onatural language understanding
omulti-modal (speech, image, text) classification
ocontent moderation systems
• Demonstrable practical experience programming using Python, Scikit learn, Tensorflow or Pytorch
• Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others
• Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders to communicate technical concepts and analytical results
• Working as part of a team and independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust.
If this sounds like the role for you then please send your CV to Matthew Baylis to arrange an informal discussion: Ofcom@datatech.org.uk.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk