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Senior GenAI Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Cambridge
Master of Philosophy - MPhil, Advanced Computer Science
January 1, 2019 – January 1, 2020
Bloomberg
Senior Machine Learning Engineer (GenAI platforms)
October 1, 2022 – Present
London Area, United Kingdom
Hyperscience
Senior Machine Learning Engineer (NLP Platforms)
February 1, 2022 – September 1, 2022
New York, United States · Remote
Monzo Bank
Machine Learning Scientist
January 1, 2021 – February 1, 2022
Greater London, England, United Kingdom
Diffblue
Research Engineer (Machine Learning and Program Analysis)
August 1, 2016 – August 1, 2019
Oxford, United Kingdom
GFI Software
Principal Software Architect
October 1, 2015 – July 1, 2016
University of Malta
Lecturer
October 1, 2013 – March 1, 2014
Malta
GFI Software
Senior Software Engineer (Lead)
January 1, 2013 – September 1, 2015
GFI Software
Software Engineer
November 1, 2010 – January 1, 2013
Cultural Fit Analysis
The candidate has a diverse professional background, transitioning from core software engineering to specialized machine learning roles. Their experience spans large financial institutions (Bloomberg, Monzo Bank) and AI-focused companies (Hyperscience, Diffblue), indicating adaptability. The target role of ML Engineer aligns well with their recent career trajectory. However, the lack of specific project details or contributions makes it difficult to fully assess their collaborative style or initiative beyond role titles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration. The English test score is also 0, preventing an assessment of communication clarity or professional language usage.