Tamas Jambor
ML EngineerData Scientist | AI 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
Data Scientist | AI 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
As the co-founder and data scientist at Myelin.io, I've dedicated over six years of advancing machine learning and MLOps. Prior to my current focus, I consulted for Equinor, where I leveraged AI to enhance offshore wind farm designs. My experience with cloud-native technologies and advanced AI applications, particularly within the AWS ecosystem, has been instrumental in delivering scalable solutions.
UCL
PhD, Machine Learning
January 1, 2009 – January 1, 2012
University of Sussex
MSc, Intelligent Systems
January 1, 2007 – January 1, 2008
University of Sussex
BA, English Language and English Language Teaching
January 1, 2004 – January 1, 2007
Web3 Startup (Stealth)
Principal AI Engineer
August 1, 2025 – Present
London Area, United Kingdom · Remote
SambaNova Systems
Principal AI Engineer
January 1, 2025 – August 1, 2025
London Area, United Kingdom · Hybrid
Equinor
Data Science Consultant
April 1, 2022 – July 1, 2023
London Area, United Kingdom · Hybrid
Noon - The Social Learning Platform
Principal Data Scientist
August 1, 2021 – March 1, 2022
London, England, United Kingdom · On-site
Kindred Group plc
Data Science Consultant
May 1, 2020 – August 1, 2021
London Area, United Kingdom · On-site
Marks and Spencer
Lead Data Scientist
November 1, 2019 – May 1, 2020
London Area, United Kingdom · On-site
Myelin.io
Co-Founder
October 1, 2018 – January 1, 2025
London Area, United Kingdom · Remote
Kindred Group plc
Senior Machine Learning Engineer
January 1, 2017 – November 1, 2017
London Area, United Kingdom · On-site
Channel 4
Chief Data Scientist
February 1, 2016 – December 1, 2016
London Area, United Kingdom · On-site
Crowdmix
Senior Data Scientist
August 1, 2015 – May 1, 2016
London Area, United Kingdom · On-site
Massive Analytic
Head of Data Science and Innovation
December 1, 2014 – August 1, 2015
London Area, United Kingdom · On-site
Massive Analytic
Senior Data Scientist
April 1, 2014 – December 1, 2014
London Area, United Kingdom · On-site
Sky
Senior Data Scientist
January 1, 2013 – April 1, 2014
London Area, United Kingdom · On-site
Big Data Partnership
Data Scientist
May 1, 2012 – January 1, 2013
London
BT
Researcher
August 1, 2010 – October 1, 2010
Adastral Park, Ipswich
University College London
Teaching Assistant
September 1, 2009 – March 1, 2012
London, United Kingdom
University College London
PhD Researcher
April 1, 2009 – May 1, 2012
London, United Kingdom
Probabilistic Graphical Models Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various industries (Web3, finance, energy, social learning, retail, media, telecom) and roles (consultant, principal engineer, co-founder) suggests a high degree of adaptability and a broad perspective, which could contribute positively to a dynamic team environment. The co-founding of an MLOps startup indicates an innovative and entrepreneurial mindset. The candidate's academic background (PhD) combined with practical industry experience shows a blend of theoretical depth and real-world application, aligning well with a culture that values both research and implementation. The focus on AI-enhanced solutions and strategic roadmaps aligns with a forward-thinking, impact-driven culture.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Lead Data Scientist, Chief Data Scientist, Head of Data Science and Innovation, Co-Founder) suggests strong soft skills in team building, strategic planning, and project management. The descriptions of designing and implementing solutions, as well as establishing best practices, indicate a proactive and results-oriented approach. The role as a consultant also implies strong client-facing and problem-solving abilities. The candidate's long tenure and diverse roles suggest adaptability and a strong work ethic.