Michael England
Lead Software Engineer - Applied AI at NatWest Group
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolMichael England is a Lead Software Engineer specializing in Applied AI with 10 years’ experience building production ML platforms and scalable backend systems across finance and travel. He architected and shipped NatWest’s RAG-based generative AI integrations and guardrails, built SageMaker training/inference pipelines orchestrated by Airflow, and helped standardize Python CI/CD and package hosting across the organisation. Previously he led engineering at KAYAK, owning high-value ad-bidding systems and BI platforms used by thousands, and is an active open-source contributor to projects like PyPika (adding dialect-specific SQL support). Comfortable spanning cloud infrastructure (AWS, Terraform, SageMaker), orchestration, and backend services in Java and Python, he pairs hands-on implementation with technical leadership and platform thinking. An unexpected thread through his career is a consistent focus on enabling other teams—through self-service platforms, internal libraries and templated CI—to move faster and more safely into production.
10 years of coding experience
7 years of employment as a software developer
Claremont SchoolComputing and Management (Bsc Hons) Computer Science, Computing and Management (Bsc Hons) Computer Science at Loughborough UniversityBattle Abbey School
English
Github Skills (21)
sql-query10
query-builder10
python10
builder-pattern10
databases10
sql10
builders10
builder-io10
database10
mysql9
data-set9
oracles9
postgresql9
aws-redshift9
price-data9
Programming languages (7)
Github contributions (5)
kayak/pypika
May 2017 - Apr 2021
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 28 reviews, 194 commits in 3 years 11 months
Contributions summary:Michael primarily contributed to the `pypika` project by adding support for database-specific query syntax and features. They implemented dialect-specific query classes for various databases, including MySQL, Vertica, Oracle, PostgreSQL, Redshift, and MSSQL. The contributions involved adding new functions, such as `TimestampAdd`, and refactoring existing code to improve its structure and functionality for different database platforms. Additionally, the user bumped versions and updated documentation.
data-analysispypikapython-sqlquery-buildersql
mikeengland/django-setty
Nov 2018 - Jun 2021
Configure settings dynamically in the Django Admin console
Contributions:5 releases, 77 commits, 6 PRs in 2 years 8 months
django-admindjangodynamicsettingsadmin
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