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*Sr Research Scientist - Computer Vision - London £60K!*

Job Title: *Sr Research Scientist - Computer Vision - London £60K!*
Contract Type: Permanent
Location: City of London, London
Industry:
Salary: £45000 - £60000 per annum
REF: 1946
Contact Name: Peter Tam
Contact Email: peter.tam@parallelconsulting.com
Job Published: 5 months ago

Job Description

*Sr Research Scientist - Computer Vision - London £60K!*

We are looking for a Sr Research Scientist to join a growing research establishment!
Working within the Research Sciences department, using a combination of Machine Learning and computer vision.
To be part of an awarding acclaimed company, dealing with clients across; retail, research, tech, R&D, Finance and plenty more! You will experience the most top range projects on the market - dealing with real-time analytics, using image analysis of Pictures/Video streams.

We are looking for professionals who's aim is to help push beyond the modern understanding of deep learning and machine learning, a background with this experience in some capacity is highly desirable.

The cohesive team and very independent, working in collaboration with clients and peers, you should be comfortable across the requirements below:

Requirements/Qualifications:
- Strong knowledge of Computer Vision
- PhD to post-doc in (Computer Science, Engineer or relevant)
- Experience in applying Machine Learning on large - unstructured data sets
- Advanced knowledge of Computer Vision
- Experience in Video processing/ image analysis
- Strong commercial/ business acumen

Desirable: Experience with RNN, NLP

Keywords: Computer Vision/ Machine Learning/ Computer Science/ Data Engineering/ Deep Learning/ Algorithms/ R&D/ NLP, RNN/ Video Processing/ Image Analysis


*Due to the volume of applications: only relevant profiles will be contacted.

Parallel Consulting is a multi-awarding winning, global leader in Analytics & Data Science recruitment.
With over 12 years expertise, we assist our clients within Analytics, Customer & Marketing Insight, Web Analytics, Big Data, Data Science, Credit Risk and BI.