Machine Learning Engineer

Machine Learning Development

• Design, build, train, and optimise machine learning models focused on personalisation and recommendation systems.
• Develop solutions covering:
• Recommendation Engines
• Ranking Algorithms
• User Segmentation
• Content Analysis
• Evaluate and improve model accuracy, performance, and scalability., * Develop and maintain scalable data pipelines to support model training and feature engineering.
• Work with structured and unstructured datasets at scale.
• Ensure data quality, reliability, and efficient processing across the ML lifecycle.

Production Deployment & Monitoring

• Deploy machine learning models into production environments.
• Monitor performance, availability, and model effectiveness over time.
• Implement processes to support model retraining and continuous improvement.

Experimentation & Optimisation

• Design and analyse A/B tests and offline experiments.
• Measure model effectiveness and user outcomes.
• Use insights to drive ongoing optimisation and product improvements.

Collaboration & Innovation

• Partner with Product, Engineering, Data Science, and Business teams to align machine learning initiatives with strategic goals.
• Stay up to date with emerging developments in machine learning, deep learning, and personalisation technologies.
• Identify opportunities to introduce innovative approaches and improve existing solutions.

• Strong commercial experience as a Machine Learning Engineer.
• Experience designing and deploying machine learning models in production environments.
• Proven expertise in:
• Recommendation Systems
• Personalisation Models
• Ranking Algorithms
• User Behaviour Analysis
• Strong Python development skills and experience with machine learning frameworks.
• Experience building scalable data pipelines and feature engineering processes.
• Knowledge of experimentation methodologies, including A/B testing.
• Experience handling large-scale structured and unstructured datasets.
• Strong understanding of MLOps, model deployment, monitoring, and lifecycle management.
• Excellent communication and stakeholder engagement skills.

Desirable Skills

• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Experience working with cloud-based data and ML platforms.
• Exposure to real-time recommendation systems and large-scale personalisation products.
• Experience within customer-facing digital or media environments.