

Join us
We pride ourselves on our open and supportive culture, in which people can develop their cutting-edge technology and business skills. We offer a competitive salary plus bonus potential, pension contributions, a bike to work scheme, and private healthcare, all in a relaxed and flexible working environment at our offices in Hove.
We are always keen to hear from aspirational and motivated individuals who feel they have something to add to our team.
If that’s you, please email us.
We currently have the following opening:
Applied mathematician
We are looking to extend a skunk works team committed to exploring the possibilities of Machine Learning and Artificial Intelligence initially in the area of Digital Content Optimisation.
Position Summary
The objective of the applied mathematician role is to help a small team of mavericks invent transparent, fair, cost effective Artificial Intelligence for Digital Content Optimisation.
Duration
Six months at 37.5 hour/week, with possibility of full-time employment depending on success of the project.
About you
You are an independent thinker and embrace constraints. For you, simple wins every time. You see solutions, never problems. You bring imagination, attention to detail and reasoning from first principles. You’re proactive, responsible, accountable and play well with others. Willing to do things differently.
Responsibilities
- Finding, understanding and educating on relevant academic literature.
- Devising mathematically sound models and strategies for Digital Content Optimisation.
- Understanding, extending and improving our existing Python models.
- Prototyping new models and solutions mainly in Python.
- Devising strategies and metrics for testing and measuring performance of models and solutions.
Requirements
- Graduate degree (master, phd) in applied mathematics or an equally mathematically-focussed discipline. Alternatively, demonstrable commercial experience with strong evidence of original research and development.
- Experience understanding existing models and implementing new mathematical models and algorithms using Python.
- Some experience with Natural Language Processing (NLP) using Python libraries like Panda, Numpy, sklearn, NLTK and gensim would be a definite advantage.
- Strong foundation and deep interest in Bayesian / Probabilistic reasoning and models.
- Familiarity with optimisation techniques and solutions.
- Strong communication skills
Meet the other members of our team:
Cristiano Solarino
Co-Founder
Dan Cowan
Co-Founder
Dan Murray
Co-Founder
John Mooren
Co-Founder
Amy Hood
Business Analyst
Bradley Taylor
Technical Lead
Charlotte Mothersole
Junior Developer and Support Consultant
David Hide
Software Developer
David Young
Software Developer
Kaia Mooren
Social Media Consultant
Louisa Butler
Applied Cognitive Scientist
Nick Blake
Software Developer
Sam Griffin
Software Developer
Samuel Olaegbe
Software Developer
Sarah Rothwell
UX and design consultant
Shiya Li
Applied Mathematician
Andrew Griffin
Non-Executive Director
And you?