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: 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.

Job Title: SOC Engineer Location: London - hybrid 3 days on-site 2 days remote Start Date: Immediate Contract length: 31/03/26 further extensions expected Clearance Required: BPSS (must be obtained prior to onboarding) Day rate: £400 - £500Candidates must hold or be eligible for SC clearanceOur client is seeking a SOC Analyst to join a security operations team in London click apply for full job