Head of Engineering (Data, ML and AI Tools) Head of Engineering (Data, ML and AI Tools)Get AI-powered advice on this job and more exclusive features.Help us use technology to make a big green dent in the universe!Kraken powers some of the most innovative global developments in energy.Were a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.Help us make a real impact on shaping a better, more sustainable future.Our tech platform Kraken is already licensed to support 55 million customer accounts globally, and we aim to serve 100 million by 2027. Kraken is the most AI-driven, innovative, forward-thinking platform for energy management. From optimising resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications.Were now charging the Kraken platform to other utility industries (Water and Broadband) and have created a new team called - Kraken Utilities. Over the last 3 years we have built this team from scratch to re-architect, design, and develop our Kraken software platform to solve complex industry wide problems within the water and broadband sectors (such as customer experience and water leak detection).Severn Trent, Leep, Portsmouth Water, TalkTalk and Cuckoo. We are currently 120+ people (engineers, product, implementation, strategy) along with 1800+ people in the overall Kraken world.As Head of Engineering for Data, ML and AI Tools, your main responsibility will be to lead multiple high-impact teams building AI-powered tools, voice interfaces, analytics products, and machine learning models that support utility clients and internal teams. You''ll manage a group of Engineering Leads and collaborate closely with cross-functional teams to define technical strategy, deliver production-grade systems, and drive innovation across LLM, data, and ML domains. water leakage detection, churn), and client dashboards that turn data into actionable insights.Lead and scale our cross-functional ML and data engineering teams, including machine learning engineers, LLM/AI engineers, data analysts, and Software engineers.Guide the team delivering predictive ML models for utility clients in areas like water leak detection and churn prediction, ensuring robustness, explainability, and client value.Oversee the development of data analytics products including dashboards and data pipelines that deliver actionable intelligence to utility clients.Set the long-term technical vision for our AI and analytics products while being hands-on in system design, architecture reviews, and high-impact technical decisions.Champion experimentation, prototyping, and fast iteration to explore new use cases with GenAI and classic ML across business domains.Build systems that combine structured data, unstructured customer interactions, and real-time operational signals, powering the next generation of intelligent decision support.Proven leadership experience in managing multi-disciplinary engineering teams (20+ engineers), including ML, LLM, data engineering, and platform engineering.Understanding of ML lifecycle from data ingestion and feature engineering to model training, evaluation, and deployment in production.Experience developing customer-facing AI tools, voice-based interfaces, or agent augmentation systems is highly desirable.Experience building and operating robust data pipelines, ETL frameworks, and analytics dashboards that serve clients in regulated industries like water or telco.Familiarity with modern AI/ML stacks: Python, Kubernetes, PyTorch, LangChain, vector databases, etc.Demonstrated ability to align AI and analytics initiatives with business outcomes and customer value.If you have any specific accommodations or a unique preference, please contact us at inclusion@kraken.Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. Our (i)

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