Engineering Manager

Job description

Summary

We are looking for a motivated and high-achieving Engineering Manager 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.


Roles and Responsibilities

We are looking for an exceptional and ambitious Engineering Manager to help our team of world-class engineers and data scientists develop our Causal AI platform for time series. Responsibilities include:

  • line manage members of your team, train new joiners
  • design architecture
  • plan and gauge the progress of various projects
  • code 25 - 50% of the time


The Company

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


Benefits

  • 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


Logistics

Our interview process consists of 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 successful candidates.

Job requirements

  • 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