I got in contact directly with the recruiter and had a good matching CV for the role. It took them 2-3 weeks to say that I lack deployment experience even though the job position never mentioned any deployment experience was necessary, which isn't of course for the role I applied.

5 stage interview: 1st stage - call with recruiter, discussion of my experience/CV etc 2nd stage - ML/Data Science interview: This was split into two parts. The first was a series of short fire questions on Machine Learning ("Explain correlation and covariance" etc). The second was a longer system design question where I walked through training and deployment of a hypothetical ML model. 3rd stage - MLE interview: This was also split into two parts. The first was a series of short fire questions on Python and MLE ("What are generators are and how they differ from normal functions?", "How would you send off multiple API requests as quickly as possible?" etc). The second was a longer system design question where I walked the through productionisation of an ML model. 4th and 5th stage were soft skills interviews. Overall a pretty positive experience. Quite a lot of stages, however on the plus side there was no take-home task (time consuming) or live coding (often not representative of the type or format of work that people actually do.)