Reference: BH-237156
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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. xgikmsk Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.
Machine Learning Engineer in Vauxhall employer: Investigo
Join a leading organisation in the UK energy sector as a PMO Analyst, where you will thrive in a dynamic and supportive work culture that prioritises employee growth and development. With a hybrid working model based in Solihull, you'll benefit from flexible working arrangements, comprehensive training opportunities, and a collaborative environment that encourages innovation and continuous improvement. This role not only offers a chance to contribute to impactful change initiatives but also provides a pathway for career advancement within a well-respected company committed to excellence.
