Machine Learning Manager at Just Eat Takeaway
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Assessing your cultural and operational fit
Università degli Studi di Cagliari
PhD, Electronic Engineering
January 1, 2006 – January 1, 2010
Università degli Studi di Cagliari
Master, Electronic Engineering
January 1, 2004 – January 1, 2006
Università degli Studi di Cagliari
Bachelor, Electronic Engineering
January 1, 2001 – January 1, 2004
Just Eat Takeaway.com
Machine Learning Manager
July 1, 2025 – Present
Prime Video & Amazon Studios
Research Science Manager
August 1, 2022 – July 1, 2025
London, England, United Kingdom
KidsLoop Co., Ltd.
Principal Applied Scientist
November 1, 2021 – July 1, 2022
United Kingdom
Vaarst
Principal Machine Learning Engineer
June 1, 2020 – October 1, 2021
United Kingdom
Dyson
Principal Machine Learning Engineer
October 1, 2019 – June 1, 2020
Dyson
Associate Principal Engineer - Machine Learning
June 1, 2018 – October 1, 2019
Dyson
Senior Machine Learning Engineer
May 1, 2017 – June 1, 2018
University of Bristol
Honorary Research Fellow
May 1, 2017 – June 1, 2018
Bristol, United Kingdom
University of Bristol
Research Fellow
October 1, 2016 – May 1, 2017
Bristol, United Kingdom
University of Bristol
Senior Research Associate
October 1, 2013 – October 1, 2016
Bristol, United Kingdom
Universidad Politécnica de Madrid
Marie Curie Postdoctoral Researcher
March 1, 2011 – October 1, 2013
Universidad Politécnica de Madrid
Postdoctoral Researcher
January 1, 2010 – April 1, 2011
JET
Electronic engineer
January 1, 2007 – January 1, 2009
University of Cagliari, Department of Electrical and Electronic Engineering
PhD student
November 1, 2006 – December 1, 2009
SPHERE
October 1, 2013 – Present
SPHERE (Sensor Platform for HEalthcare in a Residential Environment) is an interdisciplinary research collaboration (IRC) funded by the EPSRC and led by the University of Bristol together with the Universities of Southampton and Reading. The project will work in partnership with Bristol City Council, IBM, Toshiba and Knowle West Media Centre (KWMC). The aim is to gather information from multiple sensors around the home so as to monitor and track the signature movements of people in their homes and trigger a response in accordance with health needs. For example there are signature movements that are an indication that a person may have an increased risk of falling. The concept is to allow the health care experts, residents and carers to have information that is appropriate to their needs, which could range from identifying activities that could cause concern, through to direct feedback to the individual to suggest alternative behaviours that would reduce risk.
Cultural Fit Analysis
The candidate's career path includes both academic research and industry roles across various companies (e.g., Dyson, Amazon, Just Eat Takeaway.com, Vaarst, KidsLoop), indicating adaptability to different organizational cultures. The SPHERE project highlights engagement in collaborative, impact-driven research. The target role of 'Computer Vision' aligns well with their background in Machine Learning and sensor-based projects. However, the lack of detailed project descriptions or specific skill sets makes it difficult to fully assess the breadth of their cultural fit beyond general adaptability.
Soft Skills & Operational Fit
The candidate's extensive experience in managerial and principal roles suggests strong leadership, problem-solving, and project management skills. The interdisciplinary nature of the SPHERE project indicates an ability to collaborate across different domains. However, without specific details on communication in previous roles or psychometric test results, a comprehensive assessment of operational fit is limited.