Description This is a pragmatic and delivery-focused role in the use of data, analytics, and ML to deliver predictive outcomes for StormHarvester customers as part of our product. This role is ideal for a Senior Data Scientist or Senior ML Engineer who wants to work on impactful real-world problems and take ownership of your work. You’ll be part of a fast-moving, collaborative team with room to develop your skills in applying novel ML & AI techniques. We are seeking a Senior Machine Learning Engineer to contribute to the development and deployment of ML-driven features in our core wastewater network platform focusing on predicting sewer behaviour. You will work within the Data & Modelling engineering team with a focus on improving our existing ML processes and designing and integrating new data-driven strategies into existing products to help add insight for our customers. This role will be involved with (and lead) the development of a new ML-driven feature from ideation to proof of concept to deployment to integration with the product. This will involve: Gaining an understanding of the domain and existing StormHarvester product Exploratory data analysis and visualisation Conceptualising solutions and presenting to internal and external stakeholders Helping define and develop the strategy to deploy the approach at scale Integration of solutions into the product Requirements A third level qualification in Data Science, Computer Science, or a data/ML driven equivalent. 5 years of experience in Data Science, ML Engineering, Data Analytics, or a related speciality. Experience with Python (Pandas, Scikit-learn or equivalent). Experience with data exploration and visualisation. Strong presentation and communication skills. Willingness to engage and work with others as part of team with shared direction. Strong work ethic with an understanding that this is a fast-growing company with lots of opportunities to make improvements and to move quickly. Ability to review and provide feedback as needed to other teams on areas for improvements and updates. Passionate about work, output and quality. Can-do, problem-solving mindset. Curious and willing to onward develop and learn in ML/AI area. Desirable Criteria : Experience with AWS services (or transferable cloud experience) Experience modelling time series data Familiarity with Geospatial (GIS) data Familiarity with MLOps principles Familiarity and experience with agile development in delivery. Experience of Continuous Integration/Development and Tooling