Machine Learning Engineer

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

If you are interested in the Machine Learning Engineer role, please send an application detailing proof of the above or contact Shona in our office