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Software Engineer - Low-level numerical computing expert
at causaLens

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  • London
  • fulltime
  • ₤30000 - ₤70000 per year

Summary 

We are looking for a motivated and high-achieving Software Engineer-Low-level numerical computing expert based in London to join the team working on our exciting Machine Learning product. This is a full-time placement with significant opportunities for personal development.

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

The Company

causaLens leads causal AI research. Causality is a major step towards developing true AI. Our technology transforms organisations by autonomously discovering valuable insights that optimise business outcomes. Our flagship product, time-series prediction engine, goes beyond both traditional machine learning and AutoML. It has become the industry standard in the financial sector and is increasingly being used in a wide range of industries. causaLens is run by top scientists and engineers, 70% holding a PhD in a quantitative field.  For more information visit www.causaLens.com or contact us on info@causaLens.com. Follow us on LinkedIn and Twitter.

causaLens in the News

Core requirements

- Deep understanding of C/C++, numerical algorithms and HPC. 

- PhD with strong experience in numerical computing/simulation is preferred but not necessary.

- Smart, capable and can write clean code. 

- Ability to design and architect high-performance distributed software. 

- Development experience in at least one scripting language – preferably Python. 

- Interest in machine learning/big data (prior experience plus). 

- Knowledge of the Git version control system. 

- Good organisational skills both in management of time and code.

Roles and Responsibilities

You will be our in-house expert for low-level numerical computing.

The application stack is Python, Cython, Numpy, Scipy, Sklearn, Keras.

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 an intelligence test, interview and an on-site visit. We will do our best to transparently communicate the process with the successful candidates.


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