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Machine Learning Engineer, London, UK

Job Type:
Permanent
Job Sector:
Data
Job Category:
Data Science & Data Engineering
Country:
UK
Area:
London
Location:
London
Salary:
40,000 to 60,000 per annum
Job Ref:
HQ00024504

Xcede’s Data Science team are working with a really exciting early stage start-up to help grow out their machine learning team. They have recently received multi-million pounds of investment, so now have runway to grow a team and continue to build the product, which is set to revolutionise industrial manufacturing processes.

They have already built a hefty PyTorch based platform and have a code base in place which has been tested with real customer data. They have one full time Machine Learning Engineer already in the business, and are now looking to hire two more people into this team. They are already working with some of the biggest household names and set for continued success this year.

They are looking for people with very strong Python skills (experience with PyTorch or Tensorflow would be a big bonus), a solid machine learning background (experience around time series analysis would be a big bonus), and a passion to work in an exciting early stage start-up. They are happy to chat to people coming straight from academia, right through to people with a few years experience.

Requirements:
- MSc or PhD in Machine Learning, Computer Science or similar field
- Solid machine learning knowledge
- Solid Python skills
- Experience with PyTorch or Tensorflow preferred
- Experience with multivariate time series analysis preferred

If you are interested in this or other Data Scientist opportunities please contact Matthew Jones on matthew.jones@xcede.co.uk or +44(0)203 301 9931. Unfortunately this position is only available to candidates eligible to work in the EU without sponsorship.

For all of our live Data Scientist positions in the UK please click here - https://www.xcede.co.uk/browse-jobs/permanent-jobs/uk-jobs/data-science-and-big-data-jobs/

Contact Details:
Tel: 0203 301 9931
Fax: 0203 301 9901
Contact: Matt Jones

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