Machine Learning Engineer

Reporting to a Machine Learning Team Lead, you will

• Build state-of-the art systems which combine edge control with active learning algorithms to continuously deliver impact and reduce CO2 emissions.

• Work in the machine learning team as an individual contributor, building, testing and deploying our models, optimisers and controllers.

• Contribute to technical innovation and problem-solving across the machine learning lifecycle.

• Collaborate with cross-functional teams on customer projects, planning, designing and delivering the work packages required, as well as playing a significant role in the development of our product.

• Help establish best practices to improve our internal processes.

• Contribute to the design and implementation of robust, maintainable and scalable machine learning systems.

You will also contribute to our fear-free development process by building tooling that helps the team move faster and more sustainably. You will be supported by continuous builds, tests, a constructive review system, and a strong culture of improving engineering processes.

You’ll excel if

• You have experience in any of: control systems, time-series modelling, reinforcement learning, system identification, optimisation or bayesian statistics.

• You are used to working in a fast-paced startup environment with an agile process.

• You have a degree in machine learning, physics, chemistry, engineering, mathematics or computer science.

• You have a track record of developing novel ML methods in relevant fields.

• You are hungry for responsibility, enthusiastic about taking on the design and development of solutions to difficult problems, and eager to drive the progress of new products.

• You have a solid understanding of modern cloud compute infrastructure as it relates to machine learning, and experience in working with AWS, GCP, Azure, or other vendors.

• You have have designed and built systems end to end with software architectural best practice.

What a great fit looks like

• You have 2 or more years of experience as a machine learning engineer.

• You are familiar with ML techniques, and have both theoretical ML knowledge and experience implementing different types of solutions.

• You are proficient in Python and have a good understanding of the ecosystem of tools and libraries that support ML development (e.g., scikit-learn, PyTorch).

• You have experience working in end-to-end machine learning deployments.

• You have experience working in a scientific environment across disciplines (particularly physics, chemistry, materials science, and engineering), either through previous roles or study.

• Are passionate about making a positive impact on climate change mitigation and possess a strong interest in our mission.