Software Developer / Software Engineer (Java, Deep Learning)

Recruiter
Understanding Recruitment
Location
OX1 1HS
Posted
16 May 2018
Closes
08 Jun 2018
Contract Type
Permanent
Hours
Full Time
Job Description

Software Developer / Software Engineer (Java, Deep Learning)

We're looking for a passionate Software Developer / Software Engineer (Java, Deep Learning) who is willing to take on a hands-on approach and bring their own relevant experience, to a company currently using their intelligent, Machine Learning algorithms to generate automated, efficient data for machine use. This company are branching out into the naval, automotive and aeronautic industries, whilst working with a world-leading University, alongside a top UK Machine Learning start-up.

As a Software Developer / Software Engineer, you will be applying complex algorithms for our large scale data - deriving insights from successful techniques as used in Formula One and the aerospace domain. This start-up are generating major success across various industries and are operating on a global basis.

As a Software Developer / Software Engineer (Java, Deep Learning) you will be working closely with the Researchers and Engineering team. You will be implementing your unique skills within the domain and be an influential voice within the company at this period of huge growth and success!

What we can offer a Software Developer / Software Engineer (Java, Deep Learning):

- To work in a high profile startup who are currently creating unique Machine Learning algorithms

- Strong salary and package on offer

- To work alongside a world-leading University and top Machine Learning start-up

- Flexible working environment and start-up environment

Key Skills: Software Developer / Software Engineer; 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

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