Live opening · Posted 6 days ago

Senior AI Engineer

BALLY’S INTRALOT SA · Manchester, United Kingdom
Recruitee No
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyBALLY’S INTRALOT SA
LocationManchester, United Kingdom
Work modeNo
SourceRecruitee
Listed6 days ago

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About the role

Description supplied by the original job listing.

Bally’s Intralot is a newly formed company established through the combination of Intralot and Bally’s International Interactive, positioning the group as a top iGaming operator and a leading global provider of lottery solutions.
Bally’s Intralot is uniquely positioned across digital online gaming markets, lottery, iLottery, and sports betting. Operating at the intersection of technology, regulation, and entertainment. We are optimally positioned to capitalise on strong global growth trends driven by digital adoption and regulatory expansion across lottery and iGaming markets.
Well, what about the team?
You'll be part of the team responsible for bringing AI innovation into the hands of millions of players. Working alongside AI researchers and experienced engineers, you'll transform proven concepts into high-quality, production-ready features that power personalised player experiences.
From recommendation systems and intelligent search to AI agents and dynamic content discovery, you'll build and scale the technology that sits behind our products. This is a senior, hands on role with genuine ownership you'll influence how solutions are designed, built and delivered while working in a collaborative team that's passionate about solving complex engineering challenges with AI.
So, what will you be doing?
Take prototypes and validated concepts from R&D and turn them into production systems: hardened, tested, observable, and maintainable.
Build and operate real-time personalisation, recommendation, search and ranking systems against live traffic and within real latency budgets.
Hold a high engineering bar on AWS and TypeScript: clean CI/CD, infrastructure as code, observability, and testing.
Work closely with R&D engineers, product managers, data analysts and Staff Engineers, bridging fast experimental work and production discipline.

Work arrangement
No

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