Machine Learning Engineer (KTP Associate position)

This is an exciting opportunity for an ambitious Machine Learning Engineer to fast-track their career development as a Knowledge Transfer Partnership (KTP) Associate. The successful candidate will undertake a 36-month collaborative project between TP Transcription and The University of Salford.

The Knowledge Transfer Partnership scheme is one of the UK's largest graduate recruitment schemes (ktp.innovateuk.org) and is a three-way collaborative project between the Associate, TP Transcription and the University of Salford. It provides an opportunity for the successful applicant to manage a challenging project central to TP Transcription’s strategic development and long-term growth.

This post is a dynamic role that will lead a unique innovation project aiming to develop an AI transcription system optimised for accurately transcribing speech from multiple speakers developing a minimum viable product (MVP) for easy management of transcription projects. This will enhance their transcription process, improve efficiency and lead to the development of new AI transcription services providing greater affordability.

This position is hybrid as the associate should be in a position to travel to the University of Salford campus as required to work with the academic team. The associate will also be required to travel to meetings near Rhyl in North Wales on a monthly basis. In addition, you will gain experience in engaging with colleagues and stakeholders from across the entire organisation and beyond. This experience will uniquely position the candidate as having wide-ranging knowledge and experience.

Please note that interviews will be taking place in person on campus.

What will you be doing?

The Associate will develop a state-of-the-art AI transcription system, leading to a commercially viable product, and generating impact and relevance in the application of AI/ML within language technologies.

Who are we looking for?

Ideal candidates will possess a 2.1 minimum degree (BSc) in Computer Science, Data Science or a related subject. They will have skills in implementing, testing and maintaining Machine Learning models, and working with libraries such as TensorFlow or PyTorch. Please see the Job Description and Person Specification for full details.

Additional added benefits

To facilitate professional development the successful candidate will receive extensive practical and formal training, gain highly desirable specialist business skills, broaden knowledge and expertise within an industrially relevant project, and gain valuable experience from their industry and academic mentors. The KTP Associate will also benefit from a Personal Development Budget of £6,000 (over and above their salary) and might have the opportunity to register free of charge for a further higher degree MPhil/PhD.

CVs will not be accepted without a completed application form. To apply online see the University job listing at www.jobs.salford.ac.uk

At the University of Salford we are committed to an inclusive approach to promoting equality and diversity. We aim to have a more diverse workforce at all levels of the institution and particularly welcome applications from people from minority ethnic backgrounds and people with disabilities, who are under-represented in our workforce.

For more information and to apply for this vacancy, please visit: Machine Learning Engineer (KTP Associate position) - University of Salford VX

At the University of Salford we are committed to an inclusive approach to promoting equality and diversity.

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