You could be joining a successful and growing software house and working in an open, collaborative environment where learning and personal development are key and there's a strong pipeline of Greenfield projects.
As a Python Developer you will use the latest techniques supported by AWS infrastructure, working on the core communications product that enables clients to ensure their call centres deal with genuine, authenticated calls that prevent fraud in a secure, real-time environment. You'll utilise your experience in data modelling to build cutting edge cloud based fraud prevention models, continually iterating and improving the products' performance. You'll contribute to product design and implementation of production grade models and associated data pipelines and pro-actively explore and visualise data to discover innovative features and research new potential data sources.
Driven by technology the company can offer a remote interview and onboarding process as well as the ability to work from home; the office in Central London is now open and they'd like you to go in once a week on Wednesdays. When you are in the office you can enjoy a friendly team environment that encourages knowledge sharing, close collaboration and regular company wide hack-a-thons; you'll have time dedicated every Friday afternoon to exploring your own technology interests.
*You have Python coding skills (ideally including frameworks such as Pandas and NumPy), a good knowledge of SQL and Machine Learning frameworks e.g. Spark, SciKit Learn
*You're proficient in applying statistical techniques and visualisations to gain insight from data
*You have a good knowledge of various algorithms and understand their strengths and weaknesses
*You have a good knowledge of AWS and ideally SageMaker, although you can pick this up on the job
*You have a good knowledge of software engineering fundamentals
*You're collaborative and enthusiastic with great communication skills
As a Python Developer you will earn a competitive salary (to £80k) plus bonus and benefits including 25 days holiday (with the option to buy 5 more), flexible working (including working from home), time off to participate in charity initiatives such as Code Club, gym membership, pension, medical care, wellness benefits including massage and yoga as well as fresh fruit daily.
Apply now or call to find out more about this Python Developer / Backend Software Engineer (Machine Learning Python AWS SageMaker) opportunity.
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