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 optimising 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.
You’ll have wide open problems to solve, so you’ll need to be comfortable with ambiguity, figuring out an approach and validating it fast. You’ll stay up to date with changes in the field, using your knowledge of state-of-the-art techniques to solve problems and defining the research direction and shape the product. LLMs will be your bread and butter, customized with advanced RAG techniques or finetuned where appropriate. You’ll work closely with other engineers to build fast, and you’ll use Python and Kubernetes to deploy systems in production.
What Youll Need
- Passion about working in energy and contributing to the energy transition
- Curiosity and a self driven approach - 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 support
- Ability to learn quickly and enthusiasm about learning new technologies
- Strong experience with LLMs in production, and techniques to customize models to the domain like RAG or finetuning
- A solid base experience of traditional ML techniques including training and deploying non-LLM ML models
- An engineering mindset - passion for building robust tools
- Experience with some of the following technologies: Python, Using LLMs in production, ML python packages like pytorch, huggingface and scikit-learn, NLP, Kubernetes, SQL to prepare datasets for training and performance tracking
It would be great if you had
- Experience of building a cutting-edge AI systems beyond PoC, for example internal tooling for developers that has a proven impact on productivity
- Experience in diverse LLM deployment methods
- Experience working with large codebases and collaborating with multiple engineering teams in large companies
If this sounds like you then wed love to hear from you.
Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and well do what we can to customise your interview process for comfort and maximum magic!
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, were 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.Seniority level
Employment type
Job function
- Engineering and Information Technology
Industries
- Technology, Information and Internet
Referrals increase your chances of interviewing at Kraken by 2x
J-18808-Ljbffr
