Senior Machine Learning 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
UCL
Doctor of Philosophy - PhD, Machine Learning / Applied Statistics
September 1, 2014 – September 1, 2018
Université de Lorraine
Master of Science (MS), Applied Mathematics
January 1, 2013 – January 1, 2014
CentraleSupélec
Engineer's degree, Interactive systems and robotics
January 1, 2009 – January 1, 2014
Google DeepMind
Senior Research Engineer - Applied Language
June 1, 2023 – Present
Google DeepMind
Senior Research Engineer - Robotics
June 1, 2022 – June 1, 2023
Google DeepMind
Research Engineer - Robotics
January 1, 2020 – June 1, 2022
Google DeepMind
Research Engineer - Applied Robotics
September 1, 2018 – June 1, 2022
XIHELM LIMITED
Deep Learning Research Engineer
October 1, 2016 – September 1, 2018
London Area, United Kingdom · On-site
University College London
PhD Candidate at UCL CSML lab (Centre for Computational Statistics & Machine Learning)
September 1, 2014 – September 1, 2018
London Area, United Kingdom · On-site
A*STAR - Agency for Science, Technology and Research
Deep Learning Research Intern
April 1, 2014 – August 1, 2014
Singapore · On-site
GE Energy Management
Sales & Marketing Analyst, Services
January 1, 2013 – August 1, 2013
Paris , France
Veolia Water
Asset Management
July 1, 2012 – December 1, 2012
Oman
CNIM
Ouvrier
August 1, 2011 – September 1, 2011
Cultural Fit Analysis
The candidate's background is heavily focused on advanced research and engineering in AI/ML and robotics. While this demonstrates a strong technical and innovative mindset, the direct cultural fit for a 'Data Analyst' role, which often involves more business-centric reporting, data visualization, and stakeholder communication, is not immediately clear from the provided data. Their experience is primarily in cutting-edge R&D rather than traditional data analysis. The diversity of projects is high within the ML/Robotics domain, but less so across different business functions typically associated with data analysis.
Soft Skills & Operational Fit
The candidate's experience at Google DeepMind, including co-tech lead roles and participation in open-source library development, suggests strong collaboration, problem-solving, and leadership skills. The ability to define technical roadmaps and interface with partner teams indicates good operational fit for complex projects. However, the target role is 'Data Analyst', which is a significant shift from their current and past roles as a Research Engineer. While the analytical foundation is strong, direct experience in typical data analyst tasks (e.g., dashboarding, specific business intelligence tools, stakeholder reporting beyond technical roadmaps) is not explicitly detailed.