Machine Learning Engineer

JOB 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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