Java Developer / Java Engineer (Aerospace, Machine Intelligence)
We're looking for a passionate Java Developer / Java Engineer (Aerospace, Machine Intelligence) 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 the top UK Machine Learning start-up.
As a Java Developer / Java 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 also operating on a global basis.
As a Java Developer / Java Engineer 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 Java Developer / Java Engineer (Aerospace, Machine Intelligence):
- To work in a high profile start-up 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
- Artificial Intelligence
- Natural Language Processing
- Multithreading. Machine Learning
- Distributed Algorithms. Distributed systems
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