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  • causaLens are the pioneers of Causal AI — a giant leap in machine intelligence. 

      

    We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare. 

     

    Summary 

     We are looking for a motivated and high-achieving Engineering Manager to join our Engineering team in London. You will manage a team building a platform to optimize every business on the planet. 

     We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building technology that improves our world. 

     

    Roles and Responsibilities 

     We are looking for an experienced and ambitious leader to develop our Causal AI platform. You will lead an Engineering team which is composed of software engineers and machine learning engineers. You should have a proven experience programming across the tech stack and be comfortable writing code as well as be strong at communicating your ideas and helping others in the team to develop themselves.  

    The main web application stack includes Python, Django, FastApi, Celery, Postgres on the backend, with React and Typescript on the frontend. We also make use of Redis, Cython, Numpy, Scikit-Learn, Torch, Ansible, Terraform, AWS, GCP, Azure and many other technologies throughout the rest of the stack. 

      

    Job requirements 

    • Experience as a senior software engineer 
    • Ability to design and architect high-performance distributed software 
    • Proficiency in Python 
    • Understanding of the full stack, from REST backends to modern SPA frontends 
    • Experience with React or similar frameworks (VueJS, AngularJS) 
    • In-depth understanding of computer architecture and distributed systems is a plus 
    • Interest in machine learning/big data (prior experience is a plus) 
    • Knowledge of the software development lifecycle (version control, tooling, testing, debugging, 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. 

      

    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. 

      

    causaLens in the News 

    • Best Deeptech Company 2019 - Artificial Intelligence Awards 
    • ‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance 
    • ‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes 
    • AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times 
    • ‘Machine Learning Companies to watch in Europe’ - Forbes 
    • Best Investment in Deeptech’ award - UK Business Angels Association awards 
    • ‘100 Most Disruptive UK Companies’ - Hotwire 
    • ‘causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire 

      

    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 

     

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