Machine Learning Engineer
Spring Grove, Greater London
£193,700 - £193,700/annum
Posted 1 week ago
About the role
We are currently hiring for a Machine Learning Engineer - for an initial 3-6 months contract assignment. (Duration is very likely to extend).
All potential candidates should read through the following details of this job with care before making an application.
This is a hybrid working role with 2 days on site in Osterley, West London. Inside IR35
Description and Location
Machine learning engineers act as critical members of the data science team. Their tasks involve researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.
Model Development: 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. xwzovoh
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
All potential candidates should read through the following details of this job with care before making an application.
This is a hybrid working role with 2 days on site in Osterley, West London. Inside IR35
Description and Location
Machine learning engineers act as critical members of the data science team. Their tasks involve researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.
Model Development: 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. xwzovoh
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
About this listing
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