Senior ML Engineer — Production LLMs Energy; Remote

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.

You’ll join our AI Foundry team — a small, expert group focused on solving high-impact problems for the business by building production-grade internal AI tooling.

We're looking for a Senior Machine Learning Engineer where your work will span the full lifecycle: exploring solutions, validating value with stakeholders, rapidly prototyping, and taking systems to production (and keeping them healthy). You’ll work closely with product, backend engineers, and operational stakeholders to deliver tools that directly improve how we serve clients and run Kraken.

Example initiatives you may contribute to include:

- An LLM-powered assistant for internal knowledge and discovery

- Summarising code changes to support client delivery and decision-making

- Helping teams assess and accelerate client migrations

Senior Machine Learning Engineer AI Foundry Location 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.

You’ll join our AI Foundry team — a small, expert group focused on solving high-impact problems for the business by building production-grade internal AI tooling.

We're looking for a Senior Machine Learning Engineer where your work will span the full lifecycle: exploring solutions, validating value with stakeholders, rapidly prototyping, and taking systems to production (and keeping them healthy). You’ll work closely with product, backend engineers, and operational stakeholders to deliver tools that directly improve how we serve clients and run Kraken.

Example initiatives you may contribute to include:

- An LLM-powered assistant for internal knowledge and discovery

- Summarising code changes to support client delivery and decision-making

- Helping teams assess and accelerate client migrations

• Build and ship LLM-powered internal tools that improve knowledge access, reduce time spent on discovery, and support client delivery outcomes
• Take ownership of projects end-to-end: problem framing → experimentation → engineering → production deployment → monitoring and iteration
• Design and operate LLM systems in the real world (quality, latency, cost, reliability), including strong evaluation practices and fast feedback loops
• Use classic ML / data science skills to complement LLM approaches where appropriate (e.g., ranking, classification, analytics, measurement)
• Work hands-on in a Python-first ecosystem to build services, pipelines, and tooling that are maintainable, testable, and production-ready
• Collaborate closely with backend engineers, product, and internal users (including Client Delivery Leads) to define MVPs, iterate quickly, and drive adoption
• Contribute to a culture of strong engineering practices, pragmatic experimentation, and continuous learning

• Proven experience using LLMs in production (beyond a proof of concept) - you can clearly explain what shipped, what users needed, and how you managed trade-offs
• Strong end-to-end delivery experience: you’ve taken ML/LLM work into production and owned it beyond launch
• Solid data science and analysis skills: you’re comfortable…