Senior Machine Learning Engineer - Recommenders and PersonalisationDublin (once a month)Up to€120,000 + BenefitsAbout the RoleWe're working with a global leader in entertainment who are looking for a Senior Machine Learning Engineer to join their ML team - Specifically withinRecommenders and Personalisation.You'll play a key role in building large-scale machine learning models that personalise digital experiences for millions of users worldwide.In this role, you'll design, develop, and deploy cutting-edge ML and deep learning systems in areas such as search retrieval, ranking, recommendation engines, and content personalisation. You'll work in a highly collaborative environment, partnering closely with engineers, product managers, and business teams to deliver impactful ML-driven solutions.Key ResponsibilitiesDevelop recommendation systems, search retrieval, ranking, and content personalisation models.Drive projects from conception to production, ensuring scalability and efficiency.Collaborate with cross-functional teams across engineering, product, and business.Design A/B testing frameworks and create metrics to evaluate model performance.Work with large-scale structured and unstructured data (text, audio, etc.) using modern big data tools.Contribute to ML/AI strategy, influencing technology direction and product roadmaps.What We're Looking ForAdvanced degree (Master's or PhD) in Computer Science, Statistics, or Data Science with a focus on ML.Building personalised search or recommendation systems.Proven track record delivering large-scale ML products in industry.Strong experience in search retrieval, ranking, and recommendation systems.Proficiency in Python (plus Scala/Java desirable) and frameworks such as TensorFlow, PyTorch, MLlib.Solid experience in A/B testing and evaluation of ML systems.Experience with cloud-based ML development (AWS preferred).Strong communication skills, able to simplify complex ML concepts for non-technical stakeholders.Exposure to Databricks, Snowflake, Tecton, or similar ML platforms.Large-scale DL training/inference optimisation.If this role looks of interest, please apply below