Machine Learning Engineer
Required skills
2 or more years of experience as a machine learning engineer, familiarity with several ML techniques, theoretical ML knowledge and experience implementing different types of solutions, proficiency in Python, good understanding of the ecosystem of tools and libraries that support ML development (e.g., scikit-learn, PyTorch), experience working in a scientific environment across disciplines (particularly physics, chemistry, materials science, and engineering)
Preferred skills
...
Technologies
scikit-learn, PyTorch
Responsibilities
Work in the machine learning team as an individual contributor, building, testing and deploying our models, contribute to technical innovation and problem-solving across the machine learning lifecycle, collaborate with the product team on customer projects, planning, designing and delivering the work packages required, as well as playing a significant role in the development of our wider product, help establish best practices to improve our internal processes, contribute to the design and implementation of robust, maintainable and scalable machine learning systems, contribute to our fear-free development process by building tooling that helps the team move faster and more sustainably
Seniority
Senior
Domain
climate change mitigation, industrial automation, AI control and optimisation systems
