Artificial Intelligence and Machine Learning Engineer

6 days ago


Fulham, Greater London, United Kingdom causaLens Full time
About causaLens

causaLens is a pioneering company in the field of Causal AI, a new category of intelligent machines that understand cause and effect. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in various industries.

We are on a mission to build truly intelligent machines that truly understand cause and effect. Our platform leverages state-of-the-art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for the business.

The Role

We are seeking a highly motivated and high-achieving Machine Learning Engineer to join our Product team in building a platform to optimize every business on the planet. This is a full-time placement with significant opportunities for personal development.

The successful candidate will work as a machine learning engineer in the Product team, which is composed of software engineers and scientists. A successful candidate will also be able to showcase broader data science and software engineering skills.

Responsibilities
  • Develop feature engineering, machine learning, and building causal algorithms for time series and tabular data using Python, Cython, Numpy, Torch, etc.
  • Work on the broader application stack, which includes Python, Cython, Numpy, Torch, Postgres, Redis, AWS, GCP, and other technologies.
  • Collaborate with the Product team to build a platform that optimizes every business on the planet.
Requirements
  • 2+ years of experience in machine learning engineering
  • Strong academic record (Msc, Meng, Ph.D. or PostDoc preferred)
  • Very advanced quantitative skills in machine learning/statistics/mathematics or similar fields
  • Development experience in at least one scripting language - preferably Python, otherwise a good familiarity with Python is required
  • Ability to translate advanced machine learning algorithms into code - Python
  • An 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.)
  • 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
What We Offer
  • Access to mental health support through Spill
  • Competitive salary
  • 25 days of paid holiday, plus bank holidays
  • Share options
  • Pension scheme
  • Happy hours and team outings
  • Referral bonus program
  • Cycle to work scheme
  • Friendly tech purchases
  • Office snacks and drinks


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