Aws Engineer, DevOps, Machine Learning

2 weeks ago


London, United Kingdom Xcede Full time

London – visit the office x3 days a week)
Xcede are delighted to be working with a very exciting scale-up Tech Product organisation. With a fledgling Data Science team already in place who focus on recommendation systems and customer personalisation, the company now what to hire an MLOps Engineer / ML Engineer to focus on machine learning infrastructure and deployment tech. Focus on creating state of the art recommendation system and graph network technology that is scalable and stable.
Drive smart and necessary DevOps decision within the ML function – MLOps.
Strong academic background in a relevant field (Statistics, Computer Science, etc.)
Significant commercial experience deploying and maintaining (MLOps) Machine Learning algorithms and infrastructure. This would ideally be in a digital B2C product or platform.
Strong cloud experience – ideally AWS / Amazon Web Services.
Usage of LLMs in a commercial environment is a bonus.
Bonus experience – pathfinder algorithms, graph network experience



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