We are looking for a motivated and high-achieving Frontend Engineer based in London to join our Product team in building a platform to optimise every business on the planet. 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.
Roles and Responsibilities
We are looking for exceptional and ambitious individuals to develop our Causal AI platform for time series. You will work as a frontend engineer in the Product team which is composed of software engineers and scientists. You should have a proven experience programming for front-end development. You should be comfortable and experienced working on software with a team, communicating ideas, and writing code that can be understood by others. You will be required to implement software at a high level of quality and take responsibility for the product and your contributions to it.
You will be expected to work to and feed into development standards & best practices. Experience with collaboration tools and general programming tools is desirable. On the frontend, we use React (with hooks), Typescript and the assortment of modern development methodologies. The rest of the application stack includes Python, Cython, Numpy, Torch, Django, Celery, Postgres, Redis, Ansible, AWS, GCP and other technologies.
- This role is open for candidates of all seniorities, junior to senior.
- Experience with React or similar frameworks (VueJS, AngularJS)
- Experience with Django and Django template engine or a similar framework
- Experience in developing front-end solutions on top of high-performance and distributed backend systems.
- Interest in UI/UX, creating a consistent design and responsive user experiences across multiple devices.
- Interest in scientific data visualization is a plus
- Smart, capable and can write clean code effectively
- Development experience in at least one scripting language - preferably Python
- Understanding of the full stack is preferable (REST backends and SPA frontends)
- 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.
causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true AI. Its enterprise platform is used to transform leading businesses in Finance, IoT, Energy, Telecommunications and others.
Current machine learning approaches, including AutoML solutions, have severe limitations when applied to real world business problems and fail to unlock the true potential of AI for the enterprise. For instance, in the case of predictions, they severely overfit and do not adapt when the environment changes. causaLens’ Causal AI Platform goes beyond predictions, providing transparent causal insights and suggesting actions that directly improve business KPIs.
causaLens is run by scientists and engineers, the majority holding a PhD in a quantitative field. Contact us on info@causaLens.com or follow us on LinkedIn and Twitter.
We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer.
causaLens in the News
- The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference
- Competitive remuneration
- Share option scheme
- Pension scheme
- 32 days paid holiday allowance (incl. bank holidays)
- Equipment you need to get the job done (MacBook Pro etc.)
- Good work-life balance
- Opportunities for continued learning and self-development, including courses, conferences and book budget
- Flexible work-from-home and remote days
- Cycle to work scheme
- Weekly journal club and knowledge sharing presentations
- Regular team outings, pizza Thursdays and annual company retreats
- Fruits, snacks and soft drinks in the office
- Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm
Our interview process consists of a coding test, 2 screening interviews and a "Day 0" which is spent with the team. Normally the Day 0 takes place on-site but for the time being they will take place online.
We will do our best to transparently communicate the process with the successful candidates.