9 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 »

Senior Data Scientist - Recommendation Systems London x3 days in office Xcede are delighted to be partnering with a very exciting scale-up. The company is operating on a need-to-know basis right now, so if you want to learn more about this one please get in touch! Responsibilities … Help to build 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. Mentor junior engineering & data science hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years 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 »

the chance to collaborate with highly experienced ICs on a vast and rich dataset. Responsibilities & Requirements Design and build top-notch search and recommendation systems, leveraging innovative research models. Act in an advisory capacity to the board on various problems within Machine learning, Deep Learning and Recsys/Ranking … learning methods to refine both develop and refine strategy for recommendations . Person Skills 5 years + experience developing highly scalable recommender systems Ph.D degree in Computer Science or related quantitative discipline Experience in training ML models with frameworks like Tensorflow, PyTorch, MXNet, Caffe,Torch etc. Excellent … coding skills in one of the following: Python, C/C++, Java, NodeJS, Go, Scala Experience with distributed systems, scalable data processing frameworks (e.g., Spark,Kafka) and noSQL systems (e.g., HBase, Cassandra) is a plus. This is an excellent role for someone looking to step into a leadership more »

models and work with cutting-edge technologies. The Role: Your day-to-day responsibilities will include: Deploying and productionising core segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients Part of a team of 9 reporting to the Head of 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 »