Full job descriptionJOB TITLE: Machine Learning Engineer
LOCATION: North London
SALARY: £650 p/d PAYE
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 (e.g. Azure ML, Databricks, Data Factory, Azure DevOps)
*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 (e.g. TensorFlow, PyTorch, Scikit-learn)
*Experience working with large-scale data processing tools (e.g. Spark)
*Strong understanding of software engineering best practices
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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