Description Senior Machine Learning Engineer Make work fit for you - We support flexible working in our Context teams and in this role. This is an opportunity to join a high performing software development team, in a senior technical role. Working for a global tech industry leader, Oracle Advertising (formerly Oracle Data Cloud) is one of the leading suppliers of advertising technology and data. You will be building the first of a new suite of products which bridges the worlds of context and audience targeted advertising. Working on solutions employing machine learning, data science, natural language processing, information retrieval, as well as cloud hosted and highly available services at scale. As an ML engineer you will work as part of a small autonomous team, taking full ownership of solving problems from start to finish. Your goal will be to provide our customers with innovative and novel solutions. Working in our Emergent Products group you will be motivated to take early-stage product ideas and solutions and deliver them to market as viable new product. You will be building scaled, robust systems, iterating rapidly to define new product direction as we take new offerings to market. Key responsibilities: Build solutions to our customers’ problems. Provide domain expertise on deep learning solutions, particularly for NLP applications Work with colleagues to define systems architecture and approach. Pair with other team members to produce high quality software. Review the work of others and offer constructive feedback, championing quality in your own and your colleagues’ work Support and mentor more junior team members. Perform an active role in team planning, review and retrospective events. Contribute towards the technical roadmap. Preferred background: Motivated to deliver real solutions to customers. Experience building and supporting large scale, highly available applications. Expert at developing Deep Learning applications. Experience with all stages of the lifecycle for production Deep Learning services. Skilled with Java, Python, Go or other high-level languages Confident operating cloud infrastructure. Experience using Kubernetes/Docker or other containerised applications. Sound understanding of agile software development practice. Driven to learn new things.