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Niall Devlin Email & Phone Number
Machine Learning Engineer
at
Cosine
1 work email found
@cosine.sh
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 86%
Current company
Role
Machine Learning Engineer
Location
London, England, United Kingdom
Company size
Who is Niall Devlin? Overview
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Quick answer
Niall Devlin is listed as Machine Learning Engineer at Cosine, a company with 34 employees, based in London, England, United Kingdom. AeroLeads shows a work email signal at cosine.sh and a matched LinkedIn profile for Niall Devlin.
Niall Devlin previously worked as AI Product Engineer at Arbor Education and Machine Learning Engineer at Synthesized. Niall Devlin holds Master Of Science - Msci, Natural Sciences, First Class With Honours from University Of Cambridge.
Company email context
Email format at Cosine
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{first}.{last}@cosine.sh
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Profile bio
About Niall Devlin
I'm a Machine Learning Engineer at Synthesized, and was a physicist in a previous life. I'm focussed on developing solutions to empower businesses to overcome their data access challenges through the use of generative AI.At Synthesized, we solved the traditional problem that every company faces, giving users access to production quality data in a secure way for use in non-production environments.I did my PhD at the University of Cambridge, focussing on a new class of materials known as topological insulators and their use in quantum information processing and low power electronics. My PhD gave me an opportunity to work across a wide variety of physics, including experimental, theoretical and computational investigations.I'm originally from Belfast and have recently made the move from Cambridge to London. I've always loved running, but have recently taken up climbing 🧗 and am always keen to try pretty much any sport. I'm pretty obsessed with football as well, so when I'm not at work you can usually find me pouring over data and stats from the premier league.If you want to get in touch and discuss anything that you've seen on my profile then please get in touch via email and I'll be happy to chat about anything!
Current workplace
Niall Devlin's current company
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Cosine
7 roles
Niall Devlin work experience
A career timeline built from the work history available for this profile.
Ai Product Engineer
Current
Jul 2024 - Present
Machine Learning Engineer
Machine Learning Engineer working across multiple aspects of the business including contributing to the core software, pre-sales engineering and customer success.Synthesized is on a mission to make the creation and access of high-quality data fast and easy. We pioneered the first API-driven data generation platform that creates data, better than production.
Jul 2022 - Jul 2024
Phd Student
- PhD student in the Thin Film Magnetism/Quantum Information group at the Cavendish Laboratory. iCASE studentship with EPSRC and Hitachi Ltd. Research focuses on the use of topological materials, including Topological.
- Scientific Computing in Python and MATLAB
- Development and simulation of multilayer topological insulator heterostructures
- Quantum transport calculations using Kwant, an open-source Python packageExperimental Projects:
- Growth of TIs using MBE
- Mesoscopic device fabrication and processing in a cleanroom environment
Sep 2018 - Jul 2022
Visiting Research Student
- Parameterising a classical interatomic potential that can be used to calculate the thermal conductivity of hexagonal Boron Nitride
Jun 2017 - Sep 2017
Software Engineer
Energenius
- Development of the “Temperature Decay Statistic” (TDS) as part of the EnerGenius "Onsite-Insight” project, a retrofit decision tool used by social landlords to assess the heat retention ability of housing and determine.
- Implemented a routine to analyse data from properties in real time, producing a TDS that could be presented to the user along with the reliability of this figure.
- System was used by social landlords to advise tenants on the energy efficiency of their properties by analysing over 1 million data points per week.
Jun 2016 - Sep 2016
Internship
- Sponsored by the Department of Material Science and Metallurgy, University of Cambridge and The Worshipful Company of Armourers and Brasiers
- Carried out research into Lifing Assessments on jet engine components
- Specific focus was on high temperature crack growth modelling for multiracial fatigue
- Used in-house Finite Element Analysis Software
- Regularly reported to the Head of Rotatives Engineering and presented my progress to the other group members in the weekly review
Jun 2015 - Sep 2015
3 education records
Niall Devlin education
Master Of Science - Msci, Natural Sciences, First Class With Honours
Bachelor'S Degree, Natural Sciences (Physics), Double 1St Class With Honours
A-Level And Gcse, Mathematics, Further Mathematics, Physics And Chemistry, A-Level 4 A*S, Gcse 11 A*S
Methodist College Belfast
FAQ
Frequently asked questions about Niall Devlin
Quick answers generated from the profile data available on this page.
What company does Niall Devlin work for?
Niall Devlin works for Cosine.
What is Niall Devlin's role at Cosine?
Niall Devlin is listed as Machine Learning Engineer at Cosine.
What is Niall Devlin's email address?
AeroLeads has found 1 work email signal at @cosine.sh for Niall Devlin at Cosine.
Where is Niall Devlin based?
Niall Devlin is based in London, England, United Kingdom while working with Cosine.
What companies has Niall Devlin worked for?
Niall Devlin has worked for Cosine, Arbor Education, Synthesized, University Of Cambridge, and Queen'S University Belfast.
How can I contact Niall Devlin?
You can use AeroLeads to view verified contact signals for Niall Devlin at Cosine, including work email, phone, and LinkedIn data when available.
What schools did Niall Devlin attend?
Niall Devlin holds Master Of Science - Msci, Natural Sciences, First Class With Honours from University Of Cambridge.
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