Digital Health Machine Learning Engineer (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

The University of Essex in partnership with Healthshare Ltd offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop a prediction and recommendation system to enhance Healthshare's digital pathway screening tool for Musculoskeletal patients using machine learning techniques such as deep neural networks, graph neural networks and Natural Language Processing.

This post is fixed term for 34 months and is based at Healthshare’s offices in West Malling, Kent.

DUTIES OF THE POST

The duties of the post will include:

• Processing, aggregating, and organising data on multi-modal content used in digital healthcare for discovering and recommending outpatient treatments based on patient pathway and profile
• Developing intelligent personalised content recommendation using methodologies such as collaborative and content-based filtering approaches
• Develop and evaluate dynamic multi-modal therapy content recommendation based on deep human-in-the-loop reinforcement learning and graph learning models
• Embedding technology and upskilling company staff
• Supporting company scale up and exploitation of new technology
• Paper writing, publishing, and participating in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community
• Active engagement in personal development

KEY REQUIREMENTS

The post holder must have:

• MSc or Higher Degree in Computer Science, AI, Data Science, Electronic Engineering or Physics or equivalent commercial experience.
• Practical and theoretical knowledge of machine learning algorithms for predictive and prescriptive modelling
• Practical and theoretical knowledge of deep reinforcement learning strategies
• Knowledge of recommendation systems and graph data representational techniques
• Experience of applying data fusion and machine learning techniques to data rich problems
• A high level of Python programming ability
• Excellent command of written and spoken English
• Ability to work independently and as part of a team

LOCATION

Suite 9, 20 Churchill Square

Kings Hill

West Malling

Kent

ME19 4YU

At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths and backgrounds, where you can find the world in one place.

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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