Senior Software Engineer - Recommendation Experiences - Marks & Spencer

Key Responsibilities

• Design, develop, and maintain high‑performance recommendation pipelines that serve millions of users in real time.
• Collaborate with data scientists to translate ML models into production‑ready services using Python and Java.
• Leverage AWS services (S3, Lambda, DynamoDB, SageMaker) to build scalable, fault‑tolerant architectures.
• Implement robust data ingestion and feature engineering workflows, ensuring data quality and freshness.
• Write clean, testable code, conduct code reviews, and mentor junior engineers.

Requirements

• 5+ years of software development experience in a production environment.
• Strong proficiency in Python and Java, with experience in distributed systems.
• Hands‑on experience building recommendation or personalization systems.
• Deep understanding of AWS cloud services and best practices.
• Excellent problem‑solving skills and a collaborative mindset.