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Christopher Michael-Stokes Email & Phone Number
Machine Learning Engineer
at
Faculty
LinkedIn matched
✓ Verified July 2026
3 data sources
Profile completeness 86%
Current company
Role
Machine Learning Engineer
Location
London, England, United Kingdom
Company size
Who is Christopher Michael-Stokes? Overview
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Quick answer
Christopher Michael-Stokes is listed as Machine Learning Engineer at Faculty, a with 923 employees, based in London, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Christopher Michael-Stokes.
Christopher Michael-Stokes previously worked as Senior Machine Learning Engineer at Quantspark and Senior Analytics Engineer at Quantspark. Christopher Michael-Stokes holds Master Of Science - Ms, Artificial Intelligence, Merit from City, University Of London.
Company email context
Email format at Faculty
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Faculty
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Profile bio
About Christopher Michael-Stokes
I am a Data Scientist with a postgraduate degree in artificial intelligence and bachelors in computer science. My passion is in solving tough technical problems and delivering business solutions using modular, platform agnostic, configuration driven code.My preferred method of learning is to break things down into smaller components and recreate each until I have a full working prototype which I can test in small projects. Although this isn't always possible (I don't have infinite free time!!), it really helps solidify my understanding so when the time comes that I need to rely on an out-of-the box optimised solution, I know exactly what's going on which greatly simplifies debugging.
Current workplace
Christopher Michael-Stokes's current company
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Faculty
5 roles
Christopher Michael-Stokes work experience
A career timeline built from the work history available for this profile.
Senior Machine Learning Engineer
Senior Analytics Engineer
Built data engineering & warehousing focused projects across multiple cloud environments - Azure, AWS, & Snowflake
Sep 2023 - Jun 2024
Data Scientist
(Originally joined under CODE Worldwide)Applied sequential pattern mining techniques on customer transaction data to discover trends that drive loyalty for a large fashion brand. Deployed the model into production using Kedro for data pipelines & configuration management, Sagemaker processing jobs as compute & AWS State Machines, Lambda Functions, and Event Bridge for automation.Handled maintenance and documentation of multiple models including churn prediction, discount elasticity, customer segmentation & products recommendation engine.Developed PoC prototypes including LLM & RAG powered email campaign writing assistant and a customer service audio transcription and analysis web app + backend apis.
May 2022 - Aug 2023
Machine Learning Engineer
Worked simultaneously on an NLP R&D project to optimise the copy-flow editorial process, while delivering immediate value by developing a prototype for a new dynamic web service using using react, nodejs and typescript.
Sep 2021 - Mar 2022
Team & coworkers
Colleagues at Faculty
Other employees you can reach at faculty.ai. View company contacts for 923 employees →
FM
Fiona Munkoh
Colleague at FacultyLondon, England, United Kingdom
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RS
Riham Said
Colleague at FacultyRiyadh Region, Saudi Arabia
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GJ
Greg Jackson
Colleague at FacultyLondon, England, United Kingdom
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HM
Hosni Med
Colleague at FacultyTunis, Tunisia
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RB
Rosalind Berka
Colleague at FacultyGreater London, England, United Kingdom
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AA
Annalisa Arcella
Colleague at FacultyGreater London, England, United Kingdom
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VT
Vedang Thakar
Colleague at FacultyVadodara, Gujarat, India
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MR
Mounir Rouabah
Colleague at FacultyBordj Bou Arreridj, Algeria
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AF
Alena F.
Colleague at FacultyLondon, England, United Kingdom
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HF
Hattie F.
Colleague at FacultyUnited Kingdom
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Fiona Munkoh
Colleague at FacultyLondon, England, United Kingdom
View →
RS
Riham Said
Colleague at FacultyRiyadh Region, Saudi Arabia
View →
GJ
Greg Jackson
Colleague at FacultyLondon, England, United Kingdom
View →
HM
Hosni Med
Colleague at FacultyTunis, Tunisia
View →
RB
Rosalind Berka
Colleague at FacultyGreater London, England, United Kingdom
View →
AA
Annalisa Arcella
Colleague at FacultyGreater London, England, United Kingdom
View →
VT
Vedang Thakar
Colleague at FacultyVadodara, Gujarat, India
View →
MR
Mounir Rouabah
Colleague at FacultyBordj Bou Arreridj, Algeria
View →
AF
Alena F.
Colleague at FacultyLondon, England, United Kingdom
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HF
Hattie F.
Colleague at FacultyUnited Kingdom
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2 education records
Christopher Michael-Stokes education
Master Of Science - Ms, Artificial Intelligence, Merit
Bachelor Of Science - Bs, Computer Science, Upper Division 2:1
FAQ
Frequently asked questions about Christopher Michael-Stokes
Quick answers generated from the profile data available on this page.
What company does Christopher Michael-Stokes work for?
Christopher Michael-Stokes works for Faculty.
What is Christopher Michael-Stokes's role at Faculty?
Christopher Michael-Stokes is listed as Machine Learning Engineer at Faculty.
Where is Christopher Michael-Stokes based?
Christopher Michael-Stokes is based in London, England, United Kingdom while working with Faculty.
What companies has Christopher Michael-Stokes worked for?
Christopher Michael-Stokes has worked for Faculty, Quantspark, Rapp Uk, and The Cultural Me.
Who are Christopher Michael-Stokes's colleagues at Faculty?
Christopher Michael-Stokes's colleagues at Faculty include Fiona Munkoh, Riham Said, Greg Jackson, Hosni Med, and Rosalind Berka.
How can I contact Christopher Michael-Stokes?
You can use AeroLeads to view verified contact signals for Christopher Michael-Stokes at Faculty, including work email, phone, and LinkedIn data when available.
What schools did Christopher Michael-Stokes attend?
Christopher Michael-Stokes holds Master Of Science - Ms, Artificial Intelligence, Merit from City, University Of London.
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