in this team, you will have the following responsibilities: Working on a variety of projects including segmentation, forecasting, propensity modelling and recommendersystems 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 recommendersystems - 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 recommendersystem-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 recommendersystems, 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/recommendersystems/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 RecommenderSystem that powers the company's core platform. Help to define the company's Product strategy through creating impactful tools for customers/members. more »
Manchester, England, United Kingdom Hybrid / WFH Options
Cubiq Recruitment
Europe or North America) Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, RecommenderSystems, LLM's, Quantum Computing, Machine Learning, Deep Learning We are a leading recruitment agency with an established AI department that has been running for more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
deploy on AWS together with Vector DBs to support retrieval. This exciting role will be about managing AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in … to make a direct impact on the experience of jobseekers and recruiters, and contribute to the development of a cutting-edge search and recommender system. We're looking for a seasoned Platform Engineer who is passionate about driving efficiency, scalability, and innovation in cloud infrastructure. If you're more »