Mlops Engineer

Description:

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 want to hire an MLOps Engineer / ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future, we’ll need a capable and experienced engineer who is happy making independent technical decisions.

Responsibilities

• Deploy, optimise and maintain the machine learning models at the core of the company’s product offering.
• Focus on creating state of the art recommendation system and graph network technology that is scalable and stable.
• Build APIs for the product.
• Drive smart and necessary DevOps decision within the ML function – MLOps.

Requirements

• 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.
• Some experience of deploying recommendation engines / recommender systems / RecSys
• Strong cloud experience – ideally AWS / Amazon Web Services.
• Usage of LLMs in a commercial environment is a bonus.
• Docker & Kubernetes experience
• Bonus experience – pathfinder algorithms, graph network experience