Are you ready to revolutionise the publishing industry with your expertise in machine learning?Come join the Data Science and Analytics team at Penguin Random House! As a Machine Learning Engineer, you'll be at the forefront of crafting innovative, data-driven solutions that ensure ethical and commercially responsible decisions for our diverse portfolio of books. Your work will directly impact how we understand and engage with our readers, helping us to publish books that resonate and make a difference.In this role, you will be instrumental in building and maintaining the technical infrastructure that powers our machine learning initiatives. You'll architect and oversee our ML platforms and pipelines, from initial development environments to production deployments, ensuring robust and scalable solutions. Your role as a technical leader will involve implementing MLOps best practices, establishing efficient CI/CD workflows, and developing infrastructure-as-code solutions that enable our data scientists to experiment, iterate, and deploy models effectively. Your expertise in cloud architecture and containerisation will drive the optimisation of our infrastructure, ensuring cost-effective and sustainable practices that enhance the long-term maintainability of our machine learning systems.Collaborating across the disciplines of data engineering, software engineering, and data science, you will play a crucial role in building, deploying, and maintaining our machine learning models in production. Your responsibility will extend to developing the practices, tools, and infrastructure that elevate our quality and scalability standards at Penguin Random House.If you are passionate about pushing the boundaries of what's possible with data and technology, and are eager to contribute to a team that values both innovation and sustainability, this is the perfect opportunity for you. Join us and help shape the future of publishing.Key responsibilities:
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