ML Engineer

• Design, develop, and optimise machine learning models for personalisation and recommendation use cases.
• Build and maintain scalable data pipelines for feature engineering, model training, and inference.
• Deploy, monitor, and improve ML models in production environments.
• Develop recommendation engines, ranking models, and user segmentation solutions.
• Design and analyse A/B tests and offline experiments to measure model effectiveness.
• Work closely with Product, Engineering, Data, and Business teams to deliver impactful solutions.
• Research and evaluate emerging machine learning and deep learning techniques.
• Ensure models remain reliable, scalable, and aligned with business objectives.

• Strong commercial experience as a Machine Learning Engineer, Applied Scientist, or similar.
• Proven experience building recommendation systems, personalisation platforms, or ranking models.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of feature engineering and large-scale data processing.
• Experience building and maintaining data pipelines.
• Knowledge of MLOps, model deployment, monitoring, and optimisation.
• Experience designing and analysing A/B tests and experimentation frameworks.
• Familiarity with structured and unstructured datasets.
• Excellent stakeholder management and communication skills.

Desirable Skills

• Deep Learning
• NLP
• Spark
• AWS, Azure, or GCP
• Feature Stores
• Real-time Personalisation Systems
• Search and Ranking Technologies

If you have a strong background in Machine Learning, recommendation systems, personalisation, and production-grade ML deployments, we’d love to hear from you. Skills

• Amazon Web Services (AWS)
• Artificial Intelligence
• Cloud Computing Platforms (Java)
• Communication Skills (Key)
• Docker Containerization
• Large Language Models (LLM)
• Machine Learning
• Microsoft Azure (Line)
• Python Programming (Beginner)
• TensorFlow & PyTorch Deep Learning