The success of Argos’s technology platform is getting bigger and better every day.

After last years very impressive data hitting 1B visits to our digital channels, generating £4bn revenue. We are now one of the largest digital retailers in the UK and have just been awarded with ‘Tech Retailer of The Year 2017.’ It is a very exciting time to join us if you are a ML engineer interested in problem solving and building large scale innovative solutions with the latest and best data technologies.

We are currently building out our Data Science and Machine Learning capability. Aiming to fix large scale supply chain problems we face whilst automating and improving the millions of decisions we make daily to provide rapid availability of all our 50,000 products nationwide, being sold from multiple digital channels; Website (1B yearly visits), In Store Digital Tablets (12M+ monthly users), Mobile Apps (6M+ downloads) and 900 Retail Stores, at a competitive price.

We are solving these problems via ML right now in greenfield status; Dynamic Pricing, Demand Forecasting, Supply Chain / Product Transportation, Collaborative Filtering, Recommendations and Payment Fraud.

We are using the full Hadoop product suite including Spark, Hive with Python, Tensorflow and Keras in the environment of Java 8 Micro Services on AWS.

Ideal candidates for this role will have prior industry experience applying ML on a wide range of optimisation problems (supply chain/transportation optimisation, demand forecasting, collaborative filter/recommendations, NLP fundamentals and payment fraud).





Ideally a PHD with 5 years minimum commercial experience using Hadoop and Spark.


Experience with Deep Learning libraries such as Tensorflow and Keras.

Educational level:

Ph. D.

Level of experience (years):

Senior (5+ years of experience)

How to apply:

Please mention NLP People as a source when applying


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About Argos

Argos is a British online retail store that offers a range of products in the U.K. and Ireland.