Graduate Software Developer / Engineer (Enterprise Data, AI)
Graduate Software Developer / Engineer (Enterprise Data, AI, ML Technology):
We are currently seeking a Graduate Software Developer / Engineer (Enterprise Data, AI, ML Technology) for a London based startup, currently using advanced Machine Learning technology focused on providing enterprise data network security that is being driven through the guts of the stack. We're looking for a Graduate Software Developer / Engineer (Network Security, AI) who is passionate about the latest technology and eager to learn, using leading-edge programming tools.
As a Graduate Software Developer / Engineer, you will be a key player within the team of Software Developers, who are experts within the field of Machine Learning. This startup is currently in stealth mode, due to the nature of their exciting, upcoming projects within the domain of Data Network Security; as a Graduate Software Developer / Engineer, you would be a crucial member of the organization, making imperative decisions about impending proposals, concerning Machine Learning Technology and Artificial Intelligence.
What we can offer a Graduate Software Developer / Engineer (Enterprise Data, AI, ML Technology):
- Competitive salary
- Exclusive graduate scheme
- Participating in world leading, cutting-edge ML projects
- Top of the range facilities
- Competitive stocks and shares
- Part of a team making waves within the field of AI
Key Skills for a Graduate Software Developer / Engineer (Network Security, AI): Machine Learning, Data, Science, PhD, Bachelors, Masters, Msci, Meng, Bsci, Science, Computer Science, Mathematics, Physics, Publications, Times-Series Forecasting Machine Learning, ML, AI, Deep Learning, Deep Neural Nets, Bayesian inference, Bayesian Data, Probabilistic Modelling, Complex Data, Matlab, Python, Julia, R, SQL, Mathematics, Statistics, Engineering, Computer Science, Physics, Economics, Mathematical algorithms, Dev Ops, Big Data, Analysis, Java, c/c++, c, c++
Apply immediately for consideration regarding this opportunity!
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This job was originally posted as www.jobsite.co.uk/job/959469857