Recommendation System Engineer

🔒 Confidential Employer
Posted 13 August 2025
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£70,000 / year
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Machine Learning Python TensorFlow PyTorch Big Data Recommendation Algorithms

FULL DESCRIPTION

Summary

The Recommendation System Engineer will design and develop recommendation algorithms, implement scalable systems for real-time recommendations, and analyze user behavior data to optimize recommendation accuracy. They will collaborate with data scientists and engineers and stay updated on the latest advancements in the field.

Key Responsibilities:

  • Design and develop recommendation algorithms tailored to user preferences.
  • Implement scalable systems to deliver real-time recommendations.
  • Analyze user behavior data to optimize recommendation accuracy.
  • Collaborate with data scientists and engineers to integrate models into production.
  • Stay updated on the latest research and advancements in recommendation systems.

Core Requirements:

  • Strong expertise in machine learning, collaborative filtering, and deep learning techniques.
  • Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Experience with big data tools (e.g., Hadoop, Spark) and databases.
  • Familiarity with A/B testing and performance evaluation metrics for recommendation systems.
  • Bachelor’s or Master’s in Computer Science, AI, or related field.

Responsibilities:

Design and develop recommendation algorithms tailored to user preferences. Implement scalable systems to deliver real-time recommendations. Analyze user behavior data to optimize recommendation accuracy. Collaborate with data scientists and engineers to integrate models into production. Stay updated on the latest research and advancements in recommendation systems.

Requirements:

Strong expertise in machine learning, collaborative filtering, and deep learning techniques. Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with big data tools (e.g., Hadoop, Spark) and databases. Familiarity with A/B testing and performance evaluation metrics for recommendation systems. Bachelor’s or Master’s in Computer Science, AI, or related field.

Sign up free — access 45,000+ UK sponsor-licensed jobs