AI/ML Engineer for Data Products
4 days ago
We're seeking an experienced AI/ML Engineer to join our Data Products team, driving success across Commercial, Customer, Finance, and Product domains.
The successful candidate will contribute to the design, development, and deployment of our ML platform, defining and implementing best practices for training, evaluating, and deploying machine learning models at scale.
You'll collaborate with software engineers, data engineers, and data scientists to develop end-to-end AI products & solutions, extending and maintaining our self-service platform to help our data science teams quickly productionize models following MLOps best practices.
A strong understanding of machine learning techniques, software development principles, and cloud infrastructure is essential. Experience with AWS, Snowflake, GCP, or Azure, as well as knowledge of MLOps and data engineering, is highly desirable.
What You'll Get Up To- Contribute to the design, development, and deployment of our ML platform.
- Define and implement best practices for training, evaluating, and deploying machine learning models at scale.
- Collaborate with cross-functional teams to develop end-to-end AI products & solutions.
- Extend and maintain our self-service platform to support data science teams.
- Hands-on experience in data science and machine learning engineering.
- Strong understanding of software development principles and cloud infrastructure.
- Experience with AWS, Snowflake, GCP, or Azure, as well as knowledge of MLOps and data engineering.
We're IAG Loyalty, a leading provider of global loyalty currency, Avios. Our vision is to create the world's most rewarding experiences for customers and colleagues alike.
We're on a mission to make data available and usable in one place, delivering powerful data solutions that optimize performance and supercharge decision-making.
We offer a competitive salary of £80,000 - £110,000 per annum, depending on experience, plus a range of benefits including equity, flexible working arrangements, and professional development opportunities.
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