Bradney Smith
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Bradney Smith Email & Phone Number

AI Lead @ Spotted Zebra 🦓 at Spotted Zebra
Location: Manchester, England, United Kingdom 7 work roles 2 schools
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✓ Verified July 2026 3 data sources Profile completeness 86%

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Current company
Role
AI Lead @ Spotted Zebra 🦓
Location
Manchester, England, United Kingdom
Company size

Who is Bradney Smith? Overview

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Quick answer

Bradney Smith is listed as AI Lead @ Spotted Zebra 🦓 at Spotted Zebra, a with 9 employees, based in Manchester, England, United Kingdom. AeroLeads shows a matched LinkedIn profile for Bradney Smith.

Bradney Smith previously worked as AI Lead at Spotted Zebra and Senior Machine Learning Engineer at Naimuri. Bradney Smith holds Mechanical Engineering With Industrial Year, Mechanical Engineering, 1St Class Hons (Meng) from University Of Birmingham.

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Spotted Zebra

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Profile bio

About Bradney Smith

As AI Lead at Spotted Zebra, I utilise the latest developments in research to develop AI-powered features for our products, empowering global enterprises to make effective high-stakes people decisions. This work applies novel techniques in Natural Language Processing (NLP) and Large Language Models (LLMs) to produce innovative solutions with immediate mission impact. I am also passionate about Data Science communication, delivering conference talks and workshops, engaging with academia across UK universities, and writing for Towards Data Science on Medium about NLP and LLMs (medium.com/@bradneysmith).

Current workplace

Bradney Smith's current company

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Spotted Zebra
Spotted Zebra
AI Lead @ Spotted Zebra 🦓
london, england, united kingdom
Employees
9
AeroLeads page
7 roles

Bradney Smith work experience

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Ai Lead

Current

London Area, United Kingdom

Aug 2024 - Present

Senior Machine Learning Engineer

Manchester, England, United Kingdom

In this role I engage with customers to understand business problems and architect bespoke solutions using machine learning technologies. I enjoy working with others and leading small-medium teams of data scientists and software engineers to develop novel solutions to difficult problems.My technical interests are focussed on working with Large Language Models (LLMs) for Natural Language Processing (NLP) tasks such as: Named Entity Recognition (NER), machine translation, sentiment… Show more In this role I engage with customers to understand business problems and architect bespoke solutions using machine learning technologies. I enjoy working with others and leading small-medium teams of data scientists and software engineers to develop novel solutions to difficult problems.My technical interests are focussed on working with Large Language Models (LLMs) for Natural Language Processing (NLP) tasks such as: Named Entity Recognition (NER), machine translation, sentiment analysis, fine-tuning, RAG, and more, as well as a range of computer vision and shallow learning tasks. Show less

Jan 2023 - Aug 2024

Data Scientist

Large Defence Contractor
Sep 2021 - Dec 2022

Machine Learning Python Developer

Department Of Electrical Engineering

• Created a 10-credit module to teach machine learning in Python to second year students across Collage of Engineering and Physical Sciences• Covered: shallowing learning algorithms (including kNN and SVM), and deep learning for hand-written digit classification using MNIST dataset, as well as basic facial recognition.• Co-authored a journal paper, published in European Society for Engineering Education, SEFI• Invited to 47th Annual SEFI conference in Budapest, Hungary

Jun 2018 - Aug 2018

Data Scientist

Large Defence Contractor
Sep 2019 - Sep 2020

Particle Physics Research Placement

Department Of Physics And Astronomy

• Conducted research into cosmic rays using HiSPARC and solar activity data sets• Statistically analysed results and proposed mechanism behind trends• Produced and submitted technical report to the British Science Association• Awarded Gold Crest Award for research• Invited to speak at annual HiSPARC Conference at the University of Bristol

Jul 2015 - Sep 2015
Team & coworkers

Colleagues at Spotted Zebra

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2 education records

Bradney Smith education

Mechanical Engineering With Industrial Year, Mechanical Engineering, 1St Class Hons (Meng)

GPA: 4.25/4.25 (British System)

Mathematics, Further Mathematics, Physics, Chemistry, Extended Project Qualification

Sixth Form

Mathematics (A*) Further Mathematics (A*) Physics (A) Chemistry (A) Extended Project Qualification (A*)

FAQ

Frequently asked questions about Bradney Smith

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What company does Bradney Smith work for?

Bradney Smith works for Spotted Zebra.

What is Bradney Smith's role at Spotted Zebra?

Bradney Smith is listed as AI Lead @ Spotted Zebra 🦓 at Spotted Zebra.

Where is Bradney Smith based?

Bradney Smith is based in Manchester, England, United Kingdom while working with Spotted Zebra.

What companies has Bradney Smith worked for?

Bradney Smith has worked for Spotted Zebra, Naimuri, Large Defence Contractor, and University Of Birmingham.

Who are Bradney Smith's colleagues at Spotted Zebra?

Bradney Smith's colleagues at Spotted Zebra include Charlie Watkinson, Jessica Bailey, Marko Ljubic, Emma Sibley, and Joe Wilde.

How can I contact Bradney Smith?

You can use AeroLeads to view verified contact signals for Bradney Smith at Spotted Zebra, including work email, phone, and LinkedIn data when available.

What schools did Bradney Smith attend?

Bradney Smith holds Mechanical Engineering With Industrial Year, Mechanical Engineering, 1St Class Hons (Meng) from University Of Birmingham.

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