Machine Learning Engineer

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

JOB TITLE: Machine Learning Engineer

LOCATION: North London

WAY OF WORKING: Full Time Hybrid 6-month contract

THE MACHINE LEARNING ENGINEER OPPORTUNITY:

• Design, build, and deploy machine learning models into production environments
• Develop and optimise recommendation systems (e.g. personalised product recommendations, ranking, search optimisation)
• Collaborate with data scientists, engineers, and product stakeholders to translate business requirements into ML solutions
• Implement and maintain MLOps pipelines to support continuous integration, delivery, and monitoring of models
• Ensure scalability, performance, and reliability of ML systems within Azure cloud infrastructure
• Work with large-scale datasets to extract insights and improve model accuracy
• Monitor model performance and retrain models to maintain effectiveness over time
• Contribute to best practices in ML engineering, deployment, and governance

YOUR KEY SKILLS:

• Strong experience as an ML Engineer in a production environment
• Proven expertise with Azure
• Hands-on experience implementing MLOps frameworks (CI/CD, model versioning, monitoring, automation)
• Demonstrable experience building recommendation systems (collaborative filtering, content-based, hybrid approaches)
• Strong proficiency in Python and common ML libraries (TensorFlow, PyTorch)
• Experience working with large-scale data processing tools