Machine Learning Engineer

We're on a mission to make a big green dent in the universe by building a truly sustainable energy system globally.

That means making power greener, smarter, and more affordable for everyone.

We put customers at the heart of everything we do: with always-fair prices, transparency and outrageous customer service.

We drive system change: with transformative tech to make renewable energy the norm and end global reliance on fossil fuels.

Octopus Energy Group is made up of 10 businesses spanning 6 countries across 3 continents, including: Octopus Energy Retail, Kraken Technologies, Octopus Energy Generation, Kraken Flex, Octopus Electric Vehicles, and the Octopus Centre for Net Zero. More on OEG @ octopusenergy.group

Since 2015, Octopus has been on a mission to bring affordable, green energy to the world. With the help of our in-house developed technology platform, Kraken, we’ve become the 4th largest energy supplier in the UK, opened retailers in 5 other countries, and licensed our software to retail giants including E.ON in the UK and Origin Energy in Australia. We’ve reinvented energy products with smart, data driven tariffs to balance customer demand with renewable generation - and we’re the biggest investor in renewable generation in the UK. Our platform, Kraken, allows our energy specialists to be the most productive in the industry, and we’re looking for someone to join our ML team to use cutting edge technology to make it even better.

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. 

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. Your focus will be 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 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.