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. 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. 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.
Machine Learning Engineer - Hybrid Remote in London 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.
