Machine Learning/Language Modelling Scientist (KTP Associate)

KTP

Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations. Further information is available at: www.ktponline.org.uk

The Project

Due to the continued explosive growth of Cooper Parry (CP), we are building out our Platforms & Digitalisation Team - focused on identifying and leveraging best of breed platforms, automation capabilities and developing innovative in-house solutions to further enhance the experience of our clients and teams.

To aid us in this vision, we are looking for a KTP Associate to join the team as part of our collaboration with the University of Essex and Innovate UK. The KTP Associate will research, innovate and develop an in-house solution for one of our key service line processes. You will be supported by a team of experts at the University of Essex as well as by senior members of the Operations Team at CP.

Duties of the Post

• Review and gain knowledge of the process to be automated through collaboration with the service lines.
• Create process maps and align project requirements and desired outputs with wider business vision.
• Explore appropriate technologies, advancements that could contribute to the solution (LLM, Agentic AI, APIs, RPA etc.).
• Develop and communicate the project plan, providing updated solution commercials and ROI calculations.
• Identify areas for training and development to support you as part of the project.
• Manage stakeholder expectations, providing regular updates on project progression.
• Collaborate with the Information Security Group (ISG) to ensure that all data security and AI policies are understood and adhered to.
• Implement the designed project plan, ensuring that all end users are taken effectively through the change curve.
• Track and report KPIs, providing leadership updates on performance trends and tracking of ROI.
• Use data insights to optimise solution functionality further.
• Embed technology, train and upskill the wider CP team.
• Participate in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community. 

Key Requirements

• Bachelor’s degree in Computer Science, Mathematics or related discipline or equivalent working experience.
• MSc or higher degree in Computer Science, AI, Data Science, or equivalent commercial experience.
• Programming skills in relevant languages such as Python, C++, R.
• Knowledge of AI, APIs, RPA and other emerging technologies.
• A deep understanding of the principles and best practice in Machine Learning for both supervised and unsupervised algorithms.
• Deep understanding of principles and best practice in machine learning, with a focus on NLP especially in sequence labelling tasks based on LLMs.
• Experience of using open-source libraries e.g. Matplotlib, Plotly, Python resources for data analysis and representation.
• Experience of handling large and complex data.
• Knowledge of project management, automation, and process optimisation.
• Strong collaboration, communication and stakeholder engagement skills, with the ability to explain technical concepts to non-technical stakeholders.

Please use the 'Apply' button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here. Our website http://www.essex.ac.uk contains more information about the University of Essex. If you have a disability and would like information in a different format, please email resourcing@essex.ac.uk. 

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