Machine Learning Engineer at Octopus Energy

Posted on:
February 23, 2023

🔭 Our mission & vision

Job Description

Help us make a big green dent in the universe. We're on a mission to drive the global renewable energy revolution, and we need loads more people to help us make our vision a reality.

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. 

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. 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.

Our data stack... AWS cloud infrastructureDatabricks Delta Lake for data lake and warehouse storage and queryingdbt for data modelling and transformationsSpark for large data processingPython data ecosystem as main scripting and analytics languageJupyter and Jupyter Hub for notebook analytics and collaborationAirflow for task schedulingKubernetes for data services and task orchestrationMLflow for experiment and model managementGithub, Circle CI, Grafana and Prometheus for version control, deployment and monitoringTableau and Streamlit as data front ends

You don’t need prior energy supplier experience (we can teach you that). We’re looking for someone with the below qualities:Passionate about working in energy and contributing to the energy transitionHigh level language skills in EnglishCurious and self driven - in a field that changes so quickly, its essential you have the initiative to make decisions yourself, and can find solutions to novel problems without lots of help and supportLearns fast and is enthusiastic about learning new technologiesStrong experience with machine learning, and deploying models in productionHas an engineering mindset - passionate about building robust tools, and has experience with some of the below technologies:PythonML python packages like pytorch, huggingface and scitkit-learnNLPKubernetesSQL to prepare datasets for training and performance trackingUsing LLMs like GPT-3 in production

Why you'll love it here... Our company culture -
We won best company to work for in 2022, on Glassdoor we we're voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people  Flexible working environment - genuine work life balance here, we are in the top 5 companies in the UK, we treat you as a human, and do our best to make work and life merge smoothly together Relaxation - we don’t count your holidays here, we work hard, and so we know you need to play hard as well (within reason of course) Equity Options Scheme - you own your own part of the business, share options in the whole Octopus Energy Group so we all work together towards success Office culture - have a certain tech requirement? We’ll do our best to get it. Our offices are also stocked with fruit, breakfast, great coffee and soft drinks. Weekly on a Friday we all get together (this happens virtually too) for company updates and drinks - we call it Family Dinner Your development is important - we support and help with development including internal and external courses, learning, study support etc, all bespoke to you If this sounds like you then we'd love to hear from you.

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 Octopus, we're 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. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

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