Tech Lead; ML and AI Tools

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

Kraken powers some of the most innovative global developments in energy.

We’re 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.

It’s 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.

We’re 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, Talk Talk, and Cuckoo. We are currently 120+ people strong globally.

The Role
As the Tech Lead for Data, ML & AI Tools, your main responsibility will be to lead a high-impact team building AI-powered tools and machine learning models that support utility clients and internal teams.

You will lead a cross‑functional team of 6-8 engineers to define technical strategy, deliver production‑grade systems, and drive innovation across LLM, data, and ML domains. Your team will be responsible for delivering AI agent‑assist tools (for both internal and customer‑facing Chat Bots and Voice Bots) and building predictive models for utility use cases(e.g., water leakage detection, churn prediction, contact propensity)

• Team Leadership:
  Lead and scale a cross-functional team of Machine Learning Engineers and Software Engineers.
• LLM & AI Solutions:
  Drive the development of intelligent tools for customer and water/energy specialists (e.g., LLM-based Answer Bots) and end-users (e.g., Voice Bots) that improve service efficiency.
• Predictive Modeling:
  Guide the team in delivering predictive ML models for utility clients—such as water leak detection, churn prediction and contact propensity — ensuring robustness, explainability, and client value.
• Technical Vision:
  Set the technical vision for AI & analytics products while being hands‑on in system design, architecture reviews, and high‑impact technical decisions.
• Innovation:
  Champion experimentation and fast iteration to explore new use cases with GenAI and classic ML, staying at the forefront of emerging technologies like RAG and agentic workflows.

• Leadership:
  Proven leadership experience managing multi-disciplinary engineering teams (6-8 engineers). An inspirational leadership style with the ability to lead through ambiguity is essential.
• ML Lifecycle:
  Understanding of the ML lifecycle—from data ingestion and feature engineering to model training, evaluation, and deployment in production.
• LLM Expertise:
  Hands‑on experience deploying LLM-based systems (e.g., RAG pipelines, tool calling, fine-tuning, RLHF) and integrating them into real‑world applications.
• Product Focus:
  Experience developing customer‑facing AI tools, voice‑based interfaces, or agent augmentation systems is highly desirable.
• Architecture:
  Strong architectural skills and the ability to make pragmatic decisions between prototypes and production‑grade systems.
• Tech Stack:
  Familiarity with modern AI/ML stacks:
  Python, Kubernetes, PyTorch, Lang Chain, vector databases, etc.

Kraken is a certified Great Place to Work in France,…