MLOps in Practice: Our Journey from Models to Impact

Join Skipton & Databricks for an evening of networking, food & drinks as we present how we are building an effective MLOps capability.
About this Event

We'll discuss the people, processes and technology required to move beyond isolated models and create a repeatable approach to delivering data science solutions in a regulated environment. We will talk openly about our journey, from the initial challenges and the need to reflect on our practices and standards, through to the future benefits that are still to be realised.

We'll show how these ideas apply in practice through a mortgage hedging case study, taking a data science solution from idea to production, demonstrating business value and contributing to stronger model risk management through clearer governance, monitoring and control.

The session will conclude with an interactive panel discussion, where attendees can ask questions about MLOps, data science delivery, platform engineering and the lessons we've learned from operationalising data science in practice.

Refreshments & Food will be provided during the event

Who's the Target Audience?

· Data Scientists

· Machine Learning Engineers

· Data Engineers

· Platform Engineers

· Technology Leaders

· Anyone interested in how organisations move AI from experimentation to business value

Agenda

🕑: 05:00 PM - 05:45 PM
Arrivals & Networking
🕑: 05:45 PM - 06:15 PM
Scaling Machine Learning with Confidence: Lessons from Skipton's MLOps Journey
Host: Niamh O'Malley

Info: How do you move from promising models to measurable business impact? This session explores Skipton Building Society's MLOps journey, the challenges we faced, the foundations we put in place, and the lessons we learned. We'll showcase how adopting MLOps across the machine learning lifecycle has helped us deliver models faster, more reliably and with greater confidence, while creating more time for innovation and experimentation.

🕑: 06:20 PM - 06:50 PM
From Excel to MLOps: Modernising a Business-Critical Hedging Model
Host: Matthew Edwards

Info: How do you apply MLOps principles to a real business-critical model? This session explores the evolution of Skipton Building Society’s mortgage hedging model, from a manual, Excel-based process to a governed and reproducible workflow. We’ll demonstrate how MLOps has improved collaboration, automation and oversight, while also supporting stronger Model Risk Management through enhanced traceability, evidence gathering and validation. Together, these foundations help us deliver models more reliably and with greater confidence.

🕑: 06:50 PM - 07:20 PM
Networking, food and drinks
🕑: 07:20 PM - 07:50 PM
Panel Q&A
Host: Niamh O'Malley
🕑: 07:50 PM - 08:30 PM
Networking & Drinks