Machine Learning Engineer

This Machine Learning Engineer role is focused on they will analyze data from various sources, both internal and external, create pipelines and algorithms to simulate and augment both real and synthetic data, and develop custom ML. It would suit someone who can bring handling site-by-site responsibilities with consistency and care to the role.

Where the work sits

Get AI-powered advice on this job and more exclusive features. Familiarity with version control systems, especially git.

How the role works day to day

They will analyze data from various sources, both internal and external, create pipelines and algorithms to simulate and augment both real and synthetic data, and develop custom ML. They will be responsible for writing high-quality software, taking ownership of specific areas of the codebase, and collaborating closely with other developers and scientists.

What helps in this setting

Handling site-by-site responsibilities with consistency and care. Strong professional approach.

What needs to be in place

• A quality degree in a scientific or software discipline.
• Experience of cloud deployment of software, e.g. AWS.
• A good understanding of modern machine learning techniques.