Research Engineer – Machine Learning / Neural Network / Python / Git / Docker / Kubernetes
We are recruiting for a Research Engineer with prior experience in developing and debugging Python, knowledge of Deep Learning frameworks (PyTorch, Tensorflow, Keras) and research and software engineering experience gained during work experience or internships to join my client in London on a permanent basis.
My client is an established start up focused on developing AI solutions ranging from self-learning decision making systems, to optimized pattern-recognition, and GPU-accelerated insights.
As a Research Engineer, you will be responsible for developing highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies and you will collaborate with the Research department to facilitate research that enables learning the semantics of data (images, video, text, audio, and other modalities).
Key Skills:
- Postgraduate degree in Computer Science, Mathematics or a related scientific field.
- Experience in developing and debugging Python.
- Experience using deep learning frameworks such as PyTorch, Tensorflow and/or Keras.
- Research and software engineering experience demonstrated via previous work experience, internships, contributions to open source projects, or coding competitions.
- Proficiency with Git workflow, development with best coding practices.
- Experience in deploying software to production using Docker and Kubernetes.
- Experience with storage systems, distributed systems, HPC, compilers, and/or CUDA programming.
- Permission to work in the UK
Desired skills:
- Knowledge of C/C++, GoLang
We cannot consider candidates requiring visa sponsorship for this role so you must be eligible to work freely in the UK
Key words:
Research / Machine Learning / Neural Network / Python / Git / Docker / Kubernetes
#software
#Research
#AI&MachineLearning
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