Address
Form of workAbout you
You have a scientific approach to your work, above and beyond that which is inherent in the ML lifecycle itself. You have a keen interest in the rapidly growing field of Machine Learning, and are eager to try new techniques and architectures. You hold strong opinions on how to tackle challenges, but are also open to others' ideas and can work within project constraints, such as user requirements, project deadlines, and budgets. You can work in a team alongside other experts performing tasks such as data analytics, MLOps, data engineering, and AI assurance. You have a desire to follow best practise and team ways of working, but will challenge those when appropriate and champion better technologies and ways of working when the opportunity arises.
You might have an educational background in Computer Science, or even Data Science or Machine Learning specifically, but you might have come from a more traditional mathematics or sciences background, such as Physics or Behavioural Science. Or maybe you've arrived at Machine Learning from leftfield and have a story to tell about how you got there. Passion, drive, and attitude will win us over more than anything else!
