Research Software Engineer

The Role

In this role you will have to use machine learning algorithm, machine learning pipeline and system development (e.g., implementing more advanced & novel machine learning algorithms with our scientist team from scratch).

Tech stack:

Our tech stack follows open standards. These are processed in microservices. Our backend is written in Python, Java, and C++. We use TensorFlow, PyTorch, Scikit-learn, XGBoost, CatBoost, LightGBM, and many other data science libraries (for example, MLXtend, SHAP etc.,) to build our AI libraries.

The interview process will include a walk through a coding and algorithms case study. This is to test that your ability to synthesise, analyse and provide solutions is at the relevant level required for this role.

Requirements:

Write production level python code following good coding practices and design patterns. Good knowledge of AI (machine learning, optimisation) is required.

Qualifications and Skills:

• You have at least 3 years industrial experience in machine learning algorithm or software development; or at least 3 years research experience in software engineering or machine learning area.

• You have extensive experience in 2 programming languages (e.g., Python, Java, C++ etc)

• You are comfortable with system level issues (due to python and ML libraries) and have experience with distributed systems.

• You have experience working with different machine learning algorithms, optimization algorithms or meta-heuristic algorithms: Reinforcement Learning, Deep Learning (RNN, CNN, GAN etc.,), Genetic Algorithm, Bayesian optimization algorithm.

• Master’s degree and/or PhD in computer science is a plus.

Benefits:

• Generous holiday allowance (21 days) – we encourage everyone to use their allowance!

• Company pension scheme

• Fun team-building activities

• Annual company dinner

• Central London location

• Central London Luxury Gym membership