firemanphil's comments

Travelex | Backend Software Engineer (all levels) | London (Kings Cross) UK | Full-time, ONSITE |

Successful candidates will be involved in designing, building, deploying and supporting our foreign exchange platform to drive a multitude of new products. We've been working on this for a couple of years and the first product to launch was Travelex Wire (https://wire.travelex.co.uk) in early 2017 . We use the following technologies heavily and it would great if you have experience in them:

* Java

* REST

* Docker

* Microservices

* AWS

You can email me directly at [email protected] to apply or for a fuller description.

Travelex | Backend Software Engineer (all levels) | London (Kings Cross) UK | Full-time, ONSITE |

Successful candidates will be involved in designing, building, deploying and supporting our foreign exchange platform to drive a multitude of new products. We've been working on this for a couple of years and the first product to launch was Travelex Wire (https://wire.travelex.co.uk) in early 2017 . We use the following technologies heavily and it would great if you have experience in them:

* Java

* REST

* Docker

* Microservices

* AWS

You can email me directly at [email protected] to apply or for a fuller description.

Hi, I'm a developer on this project so I can answer any technical questions you may have.

It sounds like you basically want a form of document clustering. Seldon has integrated the Semantic Vectors https://code.google.com/p/semanticvectors/ project which can be used to do this or depending on your technical level to look directly at Semantic Vectors or toolkits such as gensim https://radimrehurek.com/gensim/

We are targeting to provide this in the next few weeks. Sign up for the newsletter or follow the project and we'll notify you when it's available.

Presently most of our CF algorithms utilize Apache Spark but we intend to be agnostic on this and allow any machine learning platform to be integrated. I believe that Spark can easily handle this size of data set.

With regards to horizontal scaling, there are two parts to consider. Creating the models and serving the recommendations (the Seldon server project).

Model creation is done in a variety of ways, but but can be managed with scalable technologies such as Spark.

The Seldon Server project can be deployed on as many machines are you require and they will work together to provide recommendations behind a load balancer. We have experience working with some very large news websites so this part of our technology is well developed.

Hi, I'm a developer on this project so I can answer any technical questions you may have.

You are allowed them but the body should not influence the outcome of the request. This is mandated by the HTTP/1.1 spec.

This is fantastic and completely intuitive. After wasting many hours fiddling around with Vim plugins so that I can use autocompletion, this is a relief.