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 #J-18808-Ljbffr
Machine Learning Engineer employer: C4S Search Ltd
C4S Search Ltd offers an exceptional work environment for the Group Management Accountant role, characterised by a collaborative culture that values innovation and professional growth. Employees benefit from comprehensive training programmes, flexible working arrangements, and the opportunity to engage with diverse teams across multiple sites, making it an ideal place for those seeking meaningful and rewarding employment in finance.
