
Senior Machine Learning Engineer
2 days ago
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.
- 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.
- Mid-Senior level
- Full-time
- Analyst, Engineering, and Science
- Entertainment Providers and Computer Games
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