We are looking for a motivated and high-achieving Python Engineer based in London to join the team working on our exciting Machine Learning product. This is a full-time placement with significant opportunities for personal development.
We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our World.
causaLens leads causal AI research. Causality is a major step towards developing true AI. Our technology transforms organisations by autonomously discovering valuable insights that optimise business outcomes. Our flagship product, time-series prediction engine, goes beyond both traditional machine learning and AutoML. It has become the industry standard in the financial sector and is increasingly being used in a wide range of industries. causaLens is run by top scientists and engineers, 70% holding a PhD in a quantitative field. For more information visit www.causaLens.com or contact us on info@causaLens.com. Follow us on LinkedIn and Twitter.
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Roles and Responsibilities
We are looking for exceptional and ambitious individuals to develop an automated machine learning platform for time series. You will work as a software engineer in a team of software engineers and scientists. The application stack is composed of Python, Numpy, Scipy, Sklearn, XGBoost, Keras, Django, Celery, Postgres, Redis, Ansible, AWS, GCP, and other technologies.
Our interview process consists of an intelligence test, interview and an on-site visit. We will do our best to transparently communicate the process with the successful candidates.
Smart, capable and can write clean code effectively
Ability to design and architect high-performance distributed software
Development experience in at least one scripting language - preferably Python
Understanding of the full stack is preferable (REST backends and SPA frontends)
In-depth understanding of computer architecture is preferable, e.g. C, C++, Cython
Interest in machine learning/big data (prior experience is a plus)
Knowledge of the software development lifecycle (version control, tooling, testing, etc.)
Ideally you should be able to work in London or be able to commute. Candidates outside of London who are interested in relocating will be considered.