Overview
Senior Machine Learning Engineer - Recommenders and Personalisation | Dublin (once a month)
Up to €120,000 + Benefits
We're working with a global leader in entertainment who are looking for a Senior Machine Learning Engineer to join their ML team, specifically within Recommenders and Personalisation.
You'll play a key role in building large-scale machine learning models that personalise digital experiences for millions of users worldwide.
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 with engineers, product managers, and business teams to deliver impactful ML-driven solutions.
Key Responsibilities
Develop 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 For
Advanced degree (Master's or PhD) in Computer Science, Statistics, or Data Science with a focus on ML.
Experience 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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Analyst, Engineering, and Science
Industries
Entertainment Providers and Computer Games
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