7 Recommender Systems Jobs in London

in this team, you will have the following responsibilities: Working on a variety of projects including segmentation, forecasting, propensity modelling and recommender systems An opportunity to drive commercial value within a team of 7 Data Scientists, then working closely with a Data Engineering team Working end to … are confident speaking to stakeholders within a flat hierarchy - everyone has a say! REQUIREMENTS: Experience across some of propensity, forecasting and recommender systems - with clear commercial value on the CV Confident in presenting and working with stakeholders, with excellent communication skills and business acumen A PhD or more »

End-to-end experience with skillset in Docker/Kubernetes and cloud platforms Preferred Experience developing Propensity and customer retention models Experience developing recommender systems. Experience in Forecasting and marketing modelling Pricing and promotion optimisation modelling Apply below more »

End-to-end experience with skillset in Docker/Kubernetes and cloud platforms Preferred Experience developing Propensity and customer retention models Experience developing recommender systems. Experience in Forecasting and marketing modelling Pricing and promotion optimisation modelling Apply below more »

impactful models and work with cutting-edge technologies. The Role: Your day-to-day responsibilities will include: Working on core segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients Part of a team of 8 reporting to the Head of more »

up, where data science and machine learning drive their core operations! THE ROLE Engage in diverse projects spanning segmentation, forecasting, propensity modelling, and recommender systems. Drive commercial value alongside a team of 7 Data Scientists, collaborating closely with their Data Engineering unit. Experience end-to-end project ownership … culture. We're looking for candidates comfortable interacting with stakeholders in a flat hierarchy REQUIREMENTS: Proficiency across propensity modeling, forecasting, and recommender systems, demonstrating clear commercial impact on your CV. Confident in stakeholder engagement, possessing excellent communication skills and business acumen. Hold a PhD or MSc with more »

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. … 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 more »

basis right now, so if you want to learn more about this one please get in touch! Responsibilities Help to build to the Recommender System that powers the company's core platform. Help to define the company's Product strategy through creating impactful tools for customers/members. more »