Machine Learning Engineer

Reference: BH-237156
Machine Leaning Engineer 735 per day – Inside IR35 London / 2 days a week on site 2 years My client is an instantly recognisable consultancy who require a Machine Learning Engineer for a business-critical programme.

Key Responsibilities:

Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.

Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.

Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.

Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.

Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.

Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.