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MLOps Engineer
5 months ago
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 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
If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
