ML Engineer: Recommendation Systems on Azure (Hybrid)

C4S Search Ltd; City Of London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

C4S Search Ltd in North London is seeking a Machine Learning Engineer to design, build, and deploy ML models in production. The role emphasizes developing and optimising recommendation systems and collaborating with data scientists, engineers, and product stakeholders to translate business requirements into ML solutions.

You will implement and maintain MLOps pipelines, ensure scalability on Azure, work with large-scale datasets, monitor performance, retrain models, and contribute to best

Qualifications

• Production ML experience in a role delivering models to production.
• Azure experience required.
• Experience with MLOps tooling and CI/CD pipelines.

Responsibilities

• Design, build, and deploy ML models into production environments.
• Develop and optimise recommendation systems.
• Collaborate with data scientists, engineers, and product stakeholders.
• Implement and maintain MLOps pipelines for CI/CD, monitoring, and versioning.
• Ensure scalability and reliability of ML systems on Azure.
• Work with large-scale datasets to improve model accuracy.
• Monitor and retrain models to maintain effectiveness.
• Contribute to ML engineering best practices.

Skills

Production ML experience

Azure

MLOps CI/CD

Recommendation systems

Python + ML libraries

Large-scale data processing

Tools

TensorFlow

PyTorch

Job description

C4S Search Ltd in North London is seeking a Machine Learning Engineer to design, build, and deploy ML models in production. The role emphasizes developing and optimising recommendation systems and collaborating with data scientists, engineers, and product stakeholders to translate business requirements into ML solutions.

You will implement and maintain MLOps pipelines, ensure scalability on Azure, work with large-scale datasets, monitor performance, retrain models, and contribute to best