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Member of Technical Staff
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The University of Edinburgh
Doctor of Philosophy - PhD, Machine Learning
January 1, 2018 – January 1, 2022
The University of Edinburgh
Master's degree, Machine learning / data science
September 1, 2017 – September 1, 2018
University of Bristol
Master’s Degree, Mathematics
January 1, 2011 – January 1, 2015
Orbital Materials
Senior Machine Learning Researcher
May 1, 2023 – Present
London, England, United Kingdom · Remote
Roslin Insitute, University of Edinburgh
Post-doc in Machine Learning for Genomics
January 1, 2023 – March 1, 2023
Remote
BenevolentAI
Scientist Intern
August 1, 2021 – November 1, 2021
London, England, United Kingdom
The University of Edinburgh
PhD in Machine Learning
September 1, 2018 – November 1, 2022
Edinburgh, United Kingdom
TPP (The Phoenix Partnership)
Software Developer
July 1, 2016 – January 1, 2017
Leeds
Giving What We Can
Chapter Growth Intern
September 1, 2015 – September 1, 2015
Oxford, United Kingdom
University of Bristol
Seminar Leader
January 1, 2013 – June 1, 2016
Bristol
Cultural Fit Analysis
The candidate's background is heavily skewed towards academia and machine learning research. While there is a past software developer role, the recent experience and education are not directly aligned with a pure Backend Engineer role. This suggests a potential mismatch in cultural fit for a traditional backend engineering team without a strong ML focus.
Soft Skills & Operational Fit
The candidate's experience as a Seminar Leader suggests good communication and teaching skills. The PhD research and publications indicate strong independent work and problem-solving abilities. However, specific operational fit for a Backend Engineer role beyond foundational software development is not explicitly detailed.