3 of 3 Recommender Systems Jobs in Colchester

will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on More ❯

You’ll Be Doing: Build & Optimise Models: Design and implement predictive models including causal AI campaign modelling, forecasting engines, pricing elasticity models, and recommender systems. Lead Projects & People: Guide a team of data scientists across multiple projects. Depending on experience, this may include upskilling those around you. Deliver More ❯

hires shaping what we build, how we build it, and who we build it with. You’ll lead hands-on development of core ML systems (recommenders, LLM integrations, infrastructure). This is a rare opportunity to have deep technical ownership and build the product from the ground up. What … You’ll Do Architect and build core systems for recommendations, retrieval, and conversational interfaces Design APIs and pipelines that integrate LLMs, embeddings, and ranking models in production Develop real-time and batch data workflows to power personalised experiences Collaborate closely with product, design, and early users to shape UX … and features Lead technical direction cross code quality, observability, and deployment for ML systems Own model evaluation and experimentation for relevance, diversity, and engagement Participate in strategic decisions, roadmap planning, and fundraising conversations You Might Be a Fit If You Have 5+ years of experience in software engineering or More ❯