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Machine Learning Researcher (Statistics, Time-Series Analysis)
Premium Job From Understanding Recruitment
Recruiter: Understanding Recruitment
Listed on: 11th February
Location: London
Salary/Rate: £70000 - £120000
Type: Permanent
Start Date: ASAP
Reference: BBBH1522_1549861224_expired
Contact Name: Anna Heneghan

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Machine Learning Researcher (Statistics, Time-Series Analysis):

We're looking for a passionate Machine Learning Researcher (Statistics, Time-Series Analysis) 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 Machine Learning 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 - 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 (Statistics, Time-Series Analysis):

* 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 (Statistics, Time-Series Analysis); 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