What does it take to work in machine learning? Sneha Sen, 27, is a senior machine learning engineer at London-based financial technology (fin-tech) company Cleo.
The machine learning engineer: ‘Just be keen’
Changing times: The job Sneha does today did not exist in its current format when she was at school. Glossary
Linguistics - The scientific study of language and its structure.
UCL - University College London, one of the top universities in the UK.
Algorithms - Any set of rules followed by a computer. In the context of social media, “the algorithm” refers to the intelligent AI that learns the interests of the user and presents them with posts that it thinks will interest them.
Python - A programming language that is often used in web applications, software development, data science and machine learning.
Data scientist - A new type of data expert. Data scientists work with businesses to understand data and help to convert it into action that will improve a business or organisation's performance.
Education First - Often known as EF, an international education company specialising in language learning.
Redundant - Not needed any more. Someone who is made redundant loses their job because their work is not needed.
Machine learning - A field of artificial intelligence that aims to use data to teach machines to "learn" for themselves without the need for specific programming.
Insurance - When a customer pays a company a small fee, in return for the company agreeing to compensate them if they lose property or need to pay for something, such as healthcare.
Machine learning engineering - Specialised software engineering to design and build artificial intelligence systems that can automate predictive tasks.
Start-up - A new business.
Scale-up - Companies that have grown and are no longer in a start-up phase. They are growing quickly and scaling up their operations, hiring new staff and making a profit.