Machine Learning Researcher (Bayesian Inference, Deep Learning)


Premium Job From Understanding Recruitment

Recruiter

Understanding Recruitment

Listed on

28th January 2019

Location

London

Salary/Rate

£70000 - £120000

Type

Permanent

Start Date

ASAP

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Machine Learning Researcher (Bayesian Inference, Deep Learning):

We're looking for a passionate Machine Learning Researcher (Bayesian Inference, Deep Learning) who is willing to take on a hands-on approach and bring their own relevant experience to an organisation that are focusing their Machine Learning Research and development on building an advanced ML platforms for trading and analytics, specifically within sporting.

As a Machine Learning Researcher you will be working closely with the surrounding Machine Learning Engineers, Software Developers, as well as the Research team that you will be joining - programming in Python and C++ mainly.

As a Machine Learning Researcher you will be a part of a very dynamic and collaborative team who are building a next generation platform, which will help turn prototype trading models into systems that are production-ready. You will be an integral part of their vision as they draw on their industry-leading machine learning research and development. You will be part of a small team, with opportunity to publish papers, work on own projects and colloborate on ML models and algorithms with your surrounding team members.

What we can offer a Machine Learning Researcher (Bayesian Inference, Deep Learning):

* To work in a high profile startup who are self-funded and profitable already

* Strong salary and package offered

* Flexible working environment and hours

* Publishing papers, time to work on own projects during the week

Key Skills: Machine Learning Researcher (Bayesian Inference, Deep Learning); Tensorflow, C++, C, Java, Python, C#, Distributed Algorithms. Distributed systems, BSc, MSc, MPhil, PhD, Post-Doc, Research, R&D, startup, Multithreading. Machine Learning, AI, Artificial Intelligence, NLP, Natural Language Processing, Linguistics, Computational Biology, Computational Linguistics, Reinforcement Learning, Multi-Agent Systems, Deep Learning, Bayesian Inference, Probabilistic Models, Computer Vision, Machine Intelligence, Cython, Linux

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