Lampros Stavrogiannis

Principal Machine Learning Engineer @ On

About

Applied AI leader with 10+ years of experience helping organizations turn AI strategy into production capabilities and measurable business outcomes across ads, marketplaces, pricing, personalization, ML platforms, and GenAI.I have led, mentored, and grown data scientists and ML engineers while remaining close to the architecture and delivery decisions that determine whether AI systems succeed in production. My work spans machine learning, decision-making AI, bidding, auctions, forecasting, pricing optimization, personalization, MLOps, and agentic AI platforms.I focus on moving AI beyond prototypes and isolated use cases: defining where AI can create value, building the technical and operating foundations to deliver it, aligning senior stakeholders, and helping teams ship reliable, governed systems that improve revenue, efficiency, customer experience, or decision quality.

Country

United Kingdom

City

London

Industry

Computer Software

Skill

Deep Learning, MLOps, Demand Forecasting, Pricing Optimization, Experimental Analysis, Kubernetes, Elasticsearch, Auctions, Apache Spark, Machine Learning, Artificial Intelligence, Computer Science, Signal Processing, Matlab, Algorithms, Data Mining, Programming, Statistics, Game Theory, Software Development

Experience

Principal Machine Learning Engineer

2025-9 - Present · 1 yr 1 mo

City Of London

Leading AI platform strategy across MLOps and AgentOps, helping teams productionise traditional ML and agentic AI use cases. Partnering with Google Cloud, Product, infrastructure and Security stakeholders to scale reusable AI engineering patterns across the technology organisation.

Lead Applied Scientist (L6)

Amazon

2022-6 - 2025-8 · 3 yrs 3 mos

Greater London

Founding member in Amazon Ads Bidding, Allocation & Pricing, leading applied science work across auction and bidding systems. Technical lead for revenue-critical AI systems, combining roadmap ownership, mentoring and cross-functional stakeholder alignment. Published Amazon Science work on AI for auction design.

Senior Machine Learning Scientist

Expedia Group

2021-9 - 2022-6 · 10 mos

Greater London

Worked on auction optimization for Expedia TravelAds, focusing on relevance, revenue and auction health.

Machine Learning Engineering Manager

LoopMe

2019-4 - 2021-8 · 2 yrs 5 mos

Greater London

Line-managed and coached ML talent while leading production AI work across bidding, yield optimization and ML infrastructure. Combined people management, roadmap execution and hands-on technical leadership under the Chief Scientist, contributing to award-winning and patented work in ad bidding optimization.

Machine Learning Engineer

Deliveroo

2017-11 - 2019-3 · 1 yr 5 mos

London, England, United Kingdom

Worked on demand forecasting and dynamic pricing problems (delivery fees, surging)

Senior Data Scientist

Adform

2016-9 - 2017-11 · 1 yr 3 mos

London, England, United Kingdom

Prototyped strategies for real-time bidding (RTB) and deployed a new type of campaign optimization (RoAS, end-to-end model and bidding strategy developmenr).

Data Scientist

Crimtan

2015-3 - 2016-8 · 1 yr 6 mos

Brighton, England, United Kingdom

Provided support for campaign managers (bid landscape forecasting, pricing).

Knowledge Transfer Intern

Crimtan

2013-9 - 2015-2 · 1 yr 6 mos

Brighton

Developed and tested strategies for real-time bidding in ad exchanges.

Education

University of Southampton

Computer Science

Agents, Interaction and Complexity Group

University of Southampton

Artificial Intelligence

Graduated 1st in class.

Aristotle University of Thessaloniki (AUTH)

Electrical and Computer Engineering

5-year engineering degree. Top 7.5% graduate in class. Winner of the international Trading Agent Competition in Market Design. Third place at the international Trading Agent Competition in Ad Auctions.