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Machine Learning Lead Engineer - Python - London

Company: TRG
Pay: £60000.00 - 75000.00 Annually, benfits
Job type: full-time
Category: Information Technology and Services


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Job description

Senior Machine Learning Engineer | team-lead experience | Python, Tensor, Cafe, Deep Learning

As the lead machine learning engineer at this well established and rapidly growing tech company you'll be the one shaping the way they use Machine Learning to unlock the power of primary data.

From image analysis to fraud detection, smart question recommendation, or data classification and grouping, the application of Machine Learning to the current data pool offers many exciting possibilities. Data is being generated buy their core IP which is a crowd driven market research platform operating across web and mobile in over 80 cities across the globe. Due to rapid success in the last 2 years the team has expanded and they now need someone to spearhead the introduction of Machine Learning to harness the power of their ever increasing data sets.

You won't be only just a machine learning engineer. You'll be part of a culture that welcomes participation and discussion at all levels. You'll be able to clearly see your impact in what the company delivers day-to-day to end clients and users.

2 years after launch, they already work with some of the largest companies in the world and their user numbers are growing exponentially month over month.

Typical weekly tasks

. Discuss the best approach/direction (not technical) for the next product iterations;
. Discuss the technical approaches for the next week sprint challenges;
. Review your peers code;
. Develop the tasks you choose from the weekly commitment;
. Debrief with the team what happened in the last sprint and where to improve;
. Demo to the all company your achievements in the latest sprint.

Requirements

. Experience implementing machine learning algorithms using appropriate languages and toolkits Including (but not limited to) Python, C , Matlab, Tensorflow, Weka, Cafe
. Experience with the Google Cloud Platform would be a bonus.
. Experience working with data classifiers, recommender systems, optimisation algorithms, fraud detection, NLP, deep learning or computer vision in a production setting.
. But most importantly, ability to look creatively at data challenges and map out the best approaches to tackle them using the state of art machine learning

This is a great opportunity to work with a strong data product team atone of London's fastest growing tech companies. They are a dedicated team so the right person will have the opportunity to have a significant impact on growth trajectory as the platform continues to scale.

Other benefits include

. Amazing office in the middle of the City complete with golf green and table tennis;
. Co-working with London's other top startups
. Employee option scheme
. Free lunches, Friday drinks and the annual company trip (most recent was Sicily)
. Unlimited vacation days




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