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Machine Learning Engineer

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Job Description

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 Customer


What we do: build the most AI-driven, innovative, forward-thinking platform for energy management. From optimizing resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry.


Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now.


About the team

Kraken is at the heart of Octopus' success, allowing individual agents to be experts in any problem a customer has by handling the whole customer lifecycle, and this wide remit presents a powerful opportunity for the ML team to work to optimise the platform. We make sure that Kraken provides the right data to continually learn & improve. We use state of the art NLP to analyse customer messages, suggest actions and help to generate responses. We crunch billions of data points to train ML models to forecast each customer’s usage. We do it by hiring clever, curious, and self-driven people, enabling them with modern tools and infrastructure and giving them lots of autonomy. Our ML team consists of data scientists and front-end and back-end engineers, so that we can rapidly prototype and get innovative features in use in the platform at breakneck speed.


About the role

With the rapid progress in language modelling over the last year, we're working hard to make sure that we leverage this new technology to bring better service to customers. You’ll join our global ML/AI team, and focus on bringing this next generation of AI-powered features to Kraken. You'll work across the whole product lifecycle: identifying uses of new technologies via exploration, working closely with operations teams to validate that your ideas will bring value, implementing them in collaboration with front and backend engineers, and creating systems to monitor their ongoing performance.

You'll use state of the art LLMs and prompting techniques to create features, train models in-house where appropriate, and stay up to date with changes in the field. You'll use Python and Kubernetes to deploy models via API, and you'll use MLflow to manage trained models.

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  3. We'll reach out if there's a company interested in talking to you.