Until recently, the unstructured nature of our human world has been very hard for computers to understand, but we are no longer constrained by text-centric ways of interacting with information. Advancements in artificial intelligence and deep learning are changing the way we interact with our everyday devices. Humans no longer have to adapt to the limitations of computing. Instead, our devices have ‘intelligence’, and can understand the context of their real-world environment.
Backed by Invoke Capital, some of Europe’s most successful technology entrepreneurs, Neurence was founded by a group of world-leading mathematicians, neuroscientists, linguists and engineers from the University of Cambridge. Our highly-skilled team are developing sophisticated self-learning AI solutions. And as our everyday devices learn to be like us, this means we can throw real-life problems at them.
We’re making breakthroughs in deep learning solutions combined with machine learning techniques to solve a number of the world’s most pressing commercial issues, in areas including health, finance, computer vision and audio analytics.
Maha Kadirkamanathan leads Neurence’s team of highly-skilled developers. With a PhD in Information Engineering from the University of Cambridge and thirty years’ experience in software development, Maha has led global engineering teams at a number of leading technology companies, such as Dragon Systems, Visteon Corporation and Hewlett Packard Enterprise. Over the years, he has developed cutting-edge speech recognition, signal processing, bioinformatics and computer vision technologies, and is the author of a number of patents in these areas.
Mike Lynch, OBE FREng FRS
Mike Lynch is regarded as Britain's most successful technology entrepreneur and has a proven track record of identifying and monetising fundamental technologies. Spun out from his previous company, Neurodynamics, which he sold in 2005, Mike founded Autonomy in 1996 based on technology invented at Cambridge University, where Dr Lynch studied Information Sciences, received a Ph.D. and held a research fellowship in adaptive pattern recognition. He was awarded an OBE for Services to Enterprise in 2006. Mike is a fellow of the Royal Academy of Engineering, an honorary fellow of Christ's College Cambridge and a non-executive director of the British Library. He is also a scientific advisor to the UK Prime Minister.
Pete held the position of Chief Technology Officer of Autonomy for twelve years, heading up R&D and technical support teams globally. He was responsible for the development of Autonomy's fundamental technology platform, and is an expert in rapidly integrating core technologies into legacy software. During his academic career, Pete conducted significant computational and neuro-physiology research. He holds a BA (Hons) and MSc in Computer Science from York University and a D.Phil in physiology from Oxford University.
James Loxam has created multiple technologies for European software giants. He specialises in big data, machine learning and computer vision. He holds a Ph.D. in Computer Vision and Mathematics from the University of Cambridge.
Jack Stockdale has 20 years’ experience of software engineering. He is the founding CTO at Darktrace, overseeing the development of Bayesian mathematical models and artificial intelligence algorithms that underpin Enterprise Immune System technology, which was recognised by the Royal Academy of Engineering MacRobert Innovation Award Committee in 2017. Jack has a degree in Computer Science from Lancaster University.
Artificial Intelligence / Machine Learning Researcher required to apply deep learning techniques to problems in areas including health, finance, econometrics, computer vision and audio analytics. The employment level is flexible - applicants with no prior experience will be considered and offered training if successful, while experience in deep learning at a post-graduate level is a requirement for a more senior position.
A degree or a post graduate degree in computer science, engineering (electrical / electronic / information), mathematics (pure / applied / statistics), physics or any other subject with a strong mathematics or data science element.
The job requires good numerical and analytical skills.
Basic level computer programming is a minimum.
Good ability to program, especially in python, is an advantage.
Location: Cambridge, UK
To apply please email [email protected]