Head of Engineering

Help us use technology to make a big green dent in the universe!

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.

Its a really exciting time in energy. Help us make a real impact on shaping a better more sustainable future.

Kraken Utilities

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 & water leak detection).

The Kraken Utilities team is in a very exciting growth phase and has already signed six key clients: Severn Trent Leep Portsmouth Water Essential Energy TalkTalk and Cuckoo. We are currently 120 people strong globally.

As Head of Engineering for Data ML & 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. Youll 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. Your teams will be responsible for delivering agent-assist tools like AnswerBots customer-facing VoiceBots predictive models for utility use cases (e.g. water leakage detection churn) and client dashboards that turn data into actionable insights.

What youll do

• Lead and scale our cross-functional Engineering ML and data engineering teams including machine learning engineers LLM/AI engineers data analysts and Software engineers.
• Drive the development of intelligent tools for customer agents (e.g. LLM-based AnswerBots) and end-users (e.g. VoiceBots) that improve service efficiency and experience.
• 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 & analytics products while being hands-on in system design architecture reviews and high-impact technical decisions.
• Partner closely with cross-functional stakeholders including product managers customer teams and delivery leads to align technical solutions with business goals.
• 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.
• Stay on the forefront of emerging technologies in LLMs RAG (Retrieval-Augmented Generation) reinforcement learning and agentic workflows and translate them into practical scalable products.

What youll need

• 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.
• Hands-on experience deploying LLM-based systems (e.g. RAG pipelines tool calling fine-tuning RLHF) and integrating them into real-world applications.
• Experience developing customer-facing AI tools voice-based interfaces or agent augmentation systems is highly desirable.
• Strong architectural skills and the ability to make pragmatic decisions between prototypes and production-grade systems.
• 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.
• Inspirational leadership style with a strong product sense and ability to lead through ambiguity. Experience managing teams of teams (20 engineers is desired)

Kraken is a certified Great Place to Work in France Germany Spain Japan and the UK we are one of the Best Workplaces on Glassdoor with a score of 4.7. Check out our Welcome to the Jungle site ( FR / EN ) to learn more about our teams and culture.

Are you ready for a career with us We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference please contact us at and well do what we can to customise your interview process for comfort and maximum magic!

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. Whoever you are if you like one of our jobs we encourage you to apply as you might just be the candidate we hire. Across Kraken were looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer we do not discriminate on the basis of any protected attribute. 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. U.S. based candidates can learn more about their EEO rights here.

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Required Experience:

Director