Machine Learning Engineer

2 weeks ago


Sheffield, United Kingdom Knowledge Transfer Network Limited Full time

The University and the company are seeking to recruit a high calibre graduate to lead on the design and deployment of machine learning tools applied to machine translation. The company, Guildhawk Ltd., is one of the leading translation companies in the UK and won the Queen’s Award for Excellence in 2019. Although already utilising some machine translation capability, current systems are unsuitable for all applications and often require significant human input from Guildhawk’s team of expert translators. The post is remote, with regular meetings at the company’s flexible office space in Sheffield, and the successful candidate will work directly with company staff in the software development team. Support in machine learning, software engineering, and quality management processes will be provided by experts at Sheffield Hallam University. Some travel to and from the University will be expected.
The appointment carries a range of further benefits including:
• Excellent mentored experience in managing a high-profile project.
• A generous personal development budget in addition to formal off-site KTP management training.
• Automatic inclusion in our defined benefit pension scheme.
Responsibilities
• To develop and deploy state-of-the-art machine learning models for semi-automated humanin-the-loop data labelling.
• To design and evaluate user interfaces suitable for non-technical users using Human Computer Interaction (HCI) best practices.
• To design and develop large-scale language models for context-aware machine translation capable of capturing cultural and domain specific nuances.
• To engage with key stakeholders and end-users to develop user focussed application specifications.
• To lead the management of the project to ensure project deliverables are achieved and to ensure effective product deployment and operation.
• To plan and conduct internal and external training programmes, including troubleshooting and supporting early adopters.
• With the agreement of all partners, to assist in the dissemination of knowledge developed during the project.

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