Michael Neely
Senior Machine Learning Engineer at Virgin Red
United Kingdom
Summary
👤
Senior🎓
Top SchoolMichael Neely is a Senior Machine Learning Engineer with 11 years' experience building production-grade AI systems and research-grade deep learning models, currently designing Virgin Red’s MLOps platform to drive scientific agility, observability, and cost efficiency. He blends hands-on engineering—Python, Docker, Snowflake, SageMaker, EMR, Airflow—with research expertise in NLP, information retrieval, and explainable AI, and has taken models from Jupyter prototypes to automated business-as-usual pipelines. Michael has commercial experience at scale (ASOS pricing and promotion optimisation) and a strong academic grounding (MSc AI, teaching reproducible XAI research), enabling him to bridge data science, engineering, and stakeholders effectively. He’s worked across four countries and across cloud migrations, CI/CD and monitoring efforts, bringing a pragmatic, design-minded approach inspired by a devotion to elegant internal systems. Notably, he mentors early researchers and has led internal Transformer research and embeddings-as-a-service projects that improved downstream search and recommendation capabilities.
11 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of GalwayMaster of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of AmsterdamHigh School Diploma, High School Diploma at Seattle Preparatory School
English
Github Skills (29)
continuous-integration10
testing10
aws-lambda10
terraform10
terraform-provider10
aws10
lambda10
developer-tools10
aws-cloud9
localstack9
python9
serverless-framework9
terraform-module9
serverless9
mahjong8
Programming languages (4)
Github contributions (5)
michaeljneely/C4.5.ts
Nov 2017 - Sep 2020
C4.5 Algorithm In TypeScript
Contributions:1 release, 4 reviews, 12 PRs in 2 years 10 months
javascripttypescript
sfschouten/court-of-xai
Aug 2020 - Jun 2021
Court of XAI - A Python library for the systematic comparison of feature additive explanation methods.
Contributions:2 reviews, 111 commits, 2 PRs in 10 months
python-librarycourtpythonsystematicxai
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