Applied AI Scientist

Applied AI Research Scientist – Fully Remote Competitive SalaryAI Connect are partnering with a major UK brand to help them hire an Applied AI Research Scientist to develop the next generation of AI-powered customer intelligence capabilities.This is a rare opportunity to work on the design and development of a customer foundation model that will power personalisation, engagement, decisioning, and predictive capabilities across the organisation.You'll operate at the intersection of Machine Learning, Deep Learning, Foundation Models, and Applied Research, helping identify which techniques genuinely create value and translating cutting-edge research into practical AI solutions.What You'll DoFrame complex business challenges as machine learning and AI problems.Research, prototype, and evaluate advanced modelling approaches including foundation models, transformer architectures, embeddings, and representation learning.Design and develop a customer foundation model capable of supporting multiple downstream use cases from a shared customer representation.Build customer embeddings and behavioural representations that can power personalisation, targeting, propensity modelling, and decisioning capabilities.Design and run robust experiments, validating model performance through statistical analysis, benchmarking, and evaluation frameworks.Work with large-scale customer datasets to identify patterns, behaviours, and predictive signals.Collaborate with AI Engineers, Data Scientists, Product teams, and business stakeholders to move research into production environments.Evaluate emerging techniques across machine learning, deep learning, foundation models, GenAI, retrieval systems, and agent-based architectures.Key Skills & ExperienceStrong background in Machine Learning, Deep Learning, and Applied AI Research.Hands-on experience with PyTorch and/or TensorFlow.Strong understanding of transformer architectures, embeddings, and foundation model techniques.Experience building predictive models, recommendation systems, propensity models, customer intelligence solutions, or behavioural models.Strong experimental design and model evaluation experience.Ability to translate business problems into scalable machine learning solutions.Experience working with large datasets and representation learning approaches.Strong communication skills and ability to explain complex concepts to technical and non-technical audiences.