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Principal ML Ops Engineer @ Isomorphic Labs 🧬💊🤖
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Università di Trento
MSc Artificial Intelligence (Exchange Year), Erasmus+
January 1, 2014 – January 1, 2015
The University of Edinburgh
BSc (Hons) Artificial Intelligence, Machine Learning / Bioinformatics
January 1, 2012 – January 1, 2016
Isomorphic Labs
Principal Software Engineer
October 1, 2024 – April 1, 2026
Greater London
Isomorphic Labs
Senior Software Engineer
August 1, 2023 – October 1, 2024
Greater London
Meta
Software Engineer
July 1, 2022 – March 1, 2023
Greater London
Babylon
Staff Engineer
January 1, 2022 – July 1, 2022
Babylon
Engineering Lead
July 1, 2020 – January 1, 2022
Babylon
AI Infrastructure Engineer
July 1, 2019 – July 1, 2020
Reach plc
Lead ML Engineer
October 1, 2018 – July 1, 2019
Reach plc
Machine Learning Engineer
March 1, 2017 – October 1, 2018
Public Health England
Developer
November 1, 2016 – March 1, 2017
Cambridge, United Kingdom
MaxData X Ltd
Managing Director
October 1, 2016 – March 1, 2018
London, United Kingdom
Illumina
Bioinformatics Intern
June 1, 2016 – September 1, 2016
Cambridge, United Kingdom
Extraordinary Managed Services Limited
DevOps Engineer
October 1, 2015 – September 1, 2016
Edinburgh
Fidelity Investments
Big Data Intern
July 1, 2015 – September 1, 2015
Dalian, Liaoning, China
Onyu
IT consultant
September 1, 2014 – September 1, 2015
Onyu
Xamarin/Android Intern
June 1, 2014 – September 1, 2014
catalyst2
Support Analyst
March 1, 2014 – March 1, 2015
Edinburgh, United Kingdom
The University of Edinburgh
Technology Research Intern
June 1, 2013 – September 1, 2013
Edinburgh, United Kingdom
MLOps Essentials: Model Development and Integration
June 24, 2026 – Present
Duolingo Italian Fluency: Intermediate
Duolingo
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies (Isomorphic Labs, Meta, Babylon, Reach plc, Illumina, Fidelity Investments) and roles (ML Engineer, AI Infrastructure Engineer, Software Engineer, DevOps, Bioinformatics Intern) indicates a broad exposure to different organizational cultures and technical challenges. This breadth, combined with an academic background in AI and bioinformatics, suggests a strong alignment with roles requiring innovation, continuous learning, and cross-functional collaboration, which are common in ML engineering environments. The MLOps certification further demonstrates a commitment to modern ML practices.
Soft Skills & Operational Fit
The candidate's career progression from individual contributor to lead and principal roles suggests strong leadership, problem-solving, and project management skills. Experience in diverse environments (startups, large tech, public sector) indicates adaptability and operational flexibility. However, without specific project descriptions detailing collaboration or problem-solving approaches, a definitive assessment of soft skills is limited.