Pros
he domain is genuinely interesting if you care about sport. You get to work on xG models, probabilistic user-behaviour modelling, video datasets, and content personalisation, which is more engaging day-to-day than generic enterprise CRUD work. It's also a strong portfolio builder: agentic RAG, LangGraph, SageMaker MLOps, and large video pipelines are exactly the kind of work that translates into senior interviews later, as you've already seen. Sports tech tends to give real production data at scale and tight latency requirements, which forces good engineering habits. There's also room to own things end-to-end and mentor juniors fairly early, which accelerates the path to senior.
Cons
It's a services-and-product company serving sports clients and betting operators, so deadlines are driven by fixtures and seasons, which can mean crunch around major events. The betting-adjacent nature of some work may sit uncomfortably depending on your views. Compensation and equity is low