Machine Learning Engineer

5 days ago


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

We are 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.

The Role

We are seeking a highly motivated and experienced Machine Learning Engineer to join our Product team in building a platform to optimize business outcomes. As a Machine Learning Engineer, you will be responsible for developing and implementing causal algorithms for time series and tabular data using Python, Cython, Numpy, Torch, and other technologies.

Key Responsibilities
  • Develop and implement causal algorithms for time series and tabular data
  • Collaborate with the Product team to design and develop the platform
  • Work with data scientists and engineers to integrate machine learning models into the platform
  • Contribute to the development of the platform's feature engineering and machine learning capabilities
  • Participate in code reviews and ensure high-quality code
Requirements
  • 2+ years of experience in machine learning engineering
  • Strong academic record (Msc, Meng, Ph.D. or PostDoc preferred)
  • Advanced quantitative skills in machine learning/statistics/mathematics or similar fields
  • Development experience in at least one scripting language (preferably Python)
  • Ability to translate advanced machine learning algorithms into code
  • In-depth understanding of computer architecture (preferably C, C++, Cython)
  • Knowledge of the software development life cycle (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
  • 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
  • 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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