Senior Machine Learning Engineer

You will be working with projects in different domains including banking, energy, government, and life sciences to help organisations make better decisions based on data insights.

This exciting tech venture collaborates with academic institutions to research safe and ethical AI practices, ensuring that their technologies are deployed responsibly.

• Building software and infrastructure that leverages Machine Learning;
• Creating reusable, scalable tools to enable better delivery of ML systems
• Working with our customers to help understand their needs
• Working with data scientists and engineers to develop best practices and new technologies; and
• Implementing and developing Faculty’s view on what it means to operationalise ML software.

• Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch
• Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques
• Experience in Software Engineering including programming in Python.
• Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform
• Demonstrable experience with containers and specifically Docker and Kubernetes
• Comfortable in a high-growth startup environment.
• Outstanding verbal and written communication.
• Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution

Their existing teams are already very diverse but they want to make sure  DEI is a key part of their culture from early on