Kraken is the technology tentacle of the Octopus Energy Group.
All our technology is written and maintained by a multi-discipline engineering team of around 600 people globally. Our engineers work in ‘super teams’ which are focused on key areas of our platform as well as other innovative products. This also includes server-side, client-side and mobile engineers working closely with UX experts, copywriters and designers.
Teams are empowered to choose a way of working that works for them, often opting for a Kanban-like approach. Notion and Asana are then used to specify and manage work; Github, CircleCI and Terraform Enterprise as part of an immutable-infrastructure, continuous delivery pipeline; and Datadog, Sentry and Cloudwatch to measure performance and monitor production.
We’re now charging Kraken to power utilities beyond energy (think water, broadband,..) and have created a new business Kraken Utilities. We are building an innovation (ML/Data/AI) team from scratch in this area and are looking for a Machine Learning Engineer (mid or senior) to join and help us scale, implement a good culture, and work on some really exciting tech challenges.
Together with the rest of the team, you will bring the same revolutionary customer experience, operational excellence and speed of innovation that Kraken is powering across energy retailers to other sectors.
Some of our coding conventions are open-source .
Kraken is a great place to learn, work with some talented engineers and level-up your skills.
Our Data/ML stack includes: Python, SQL, pandas, Numpy, AWS, PyTorch, TensorFlow, NLP.
On the server-side, we mainly use Python. Most of our websites are powered by Django, Django-REST-framework and GraphQL (Graphene).
We use AWS heavily as part of a continuous deployment pipeline. See, for example, Django, ELB health checks and continuous delivery.
Client-side, we use React, htmx and SASS; our mobile apps are built using native code or React Native.
What you'll do
- Design, build, and deploy cutting-edge machine learning systems to address complex business challenges
- Work collaboratively with cross-functional teams including product managers, software engineers, and other stakeholders to deliver exceptional ML products
- Stay at the forefront of technology. Explore and evaluate new technologies to inspire the creation of new ML products and enhance existing ones
- Conduct A/B experiments in collaboration with other teams, analyse results, and iterate to drive continuous improvement
- Embrace ambiguity. As we scale, your role will evolve, and you should be comfortable adapting to changing responsibilities and focus areas
What you'll need
- You have a proven track record with 3+ years (5+ years at senior level) of hands-on experience applying machine learning to real-world business challenges within an industry setting
- A solid foundation in the fundamentals of machine learning is a must. You are proficient in exploratory data analysis, model selection, model pipeline development, and the end-to-end process of model deployment and monitoring
- Demonstrated expertise in Python, SQL, and common ML and visualisation libraries such as pandas, numpy, scikit-learn, lightGBM, matplotlib, and seaborn
- Experienced in cloud technologies, preferably with AWS
- Strong communication skills are essential. You can articulate complex technical concepts to a diverse range of stakeholders with clarity
- Proficient in software engineering fundamentals including version control and CI/CD pipelines
Bonus if you have:
- Experience using dbt
- Familiarity with deep learning languages such as TensorFlow, Keras, and PyTorch
- Additional expertise in NLP libraries beyond the basics e.g. langchain, huggingface and gensim
Why else you'll love it here
- Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
- Octopus Energy is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! 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
- Visit our perks hub - Octopus Employee Benefits
This team will require candidates to work on a hybrid remote basis, coming into our office in Oxford Circus 1-2 days a week. You do also need to be able to work in the UK.
We're very excited to be growing our team. We're looking for skills and experience to help shape and define the future of not only our team, but the wider business at a global scale. If you're reading this and grinning, please apply! There are huge challenges to tackle, and we need amazing people who are keen to get stuck in.
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.