- 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.
- 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
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MLOps Engineer - London Area, United Kingdom - Xcede
Description
MLOps Engineer
(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. As the first person focusing solely on this skillset in the near future, we'll need a capable and experienced engineer who is happy taking decisions.
Responsibilities
Requirements
If this role interests you and you would like to find out more, please apply here or contact us via (feel free to include a CV for review).
