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
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