Senior Machine Learning Engineer

London, United Kingdom

Full Time Senior level / Expert
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Posted 4 weeks ago

Summary

We are looking for a motivated and high-achieving Senior Machine Learning 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.


Role and Responsibilities

We are looking for exceptional and ambitious individuals to develop our Causal AI platform for time series. You will work as a Senior Machine Learning Engineer in the Engineering team which is composed of python software engineers, developers and scientists. A successful candidate will be able to showcase broader data science and software engineering skills and a proven track record of undertaken machine learning projects.

Your focus will be on feature engineering, machine learning, and building causal algorithms for time series using Python, Cython, Numpy, Torch, etc.

The broader application stack includes Python, Cython, Numpy, Torch, Django, Celery, Postgres, Redis, Ansible, AWS, GCP, React and other technologies.

This role is open for senior candidates who can showcase 4+ years of relevant experience.


The Company

Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others.


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.


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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 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.

Requirements

  • This role is open for candidates with at least 4+ years experience
  • Strong academic record (Msc, Meng, PhD or PostDoc preferred)
  • Advanced quantitative skills in machine learning/statistics/mathematics or similar fields
  • Proven track record of delivering machine learning research or projects
  • Development experience in at least one scripting language - preferably Python
  • Ability to translate advanced machine learning algorithms into code - preferably Python
  • In-depth understanding of computer architecture is preferable, e.g. C, C++, Cython
  • Knowledge of the software development life cycle is a plus (version control, tooling, testing, etc.)
  • Experience in deploying and maintaining machine learning models in production is a plus
  • Highly capable, self-motivated, collaborative and personable
  • Ability to demonstrate integrity and drive
  • Naturally curious, creative and effective problem solver with the ability to come up with ideas to tackle problems on the cutting edge
  • An excellent written and verbal communicator with a high level of business acumen
  • Ability to effectively work independently in a fast-moving environment
  • 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.
Job tags: AI AWS Banking Engineering Finance Machine Learning NumPy Postgres Python Research
Job region(s): Europe
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