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Investigo

Vauxhall / Global

Machine Learning Engineer

Job Description

Reference: BH-237156

Apply fast, check the full description by scrolling below to find out the full requirements for this role.
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. xbpsjku Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.
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