Vacancy Details

Deep Learning/ Software Engineer Intern at Handover.AI - Exclusive to UCL Talent Bank
Location: London
Position: IT
Salary: Competitive (complies with wage legislation)
Date Posted: 21 July 2017
Vacancy Type: UCL Talent Bank
Job Description:
Job title: Deep Learning/ Software Engineer
Job type: Internship x 2
Location: Central London
Salary: Competitive (complies with wage legislation)
Start date: ASAP
Duration: Negotiable
Deadline: open until further notice
The Company

Handover.AI provides AI enabled services to the NHS in the UK. 

We are developing the most advanced deep learning visual recognition clinical services available in the world and are looking for would be visual recognition, deep learning, software engineers. 

Do you want save lives everyday? Join us in the most rewarding mission, knowing you are making a true difference.
The Role

We are currently seeking two outstanding interns to join our development team. Developers will work on the enhancement and maintenance of our data pipeline including middle-tier and back end processes. They will gain and utilize experience in designing and implementing solutions for large scale machine learning systems, application server code and data design, using Python and JavaScript. Technologies they will use include Amazon Web Services and Tensorflow.

Good to have:

  • Experience with various Amazon Web Services systems, EC2, Elastic Beanstalk, SQS, DynamoDB, S3
  • Experience with Big Data ML toolkits, such as Tensorflow, Torch, SparkML.
  • Proficient understanding of distributed computing principles
  • Experience with NoSQL databases, such as DynamoDB, Cassandra, MongoDB
  • Knowledge of various Backend frameworks such as NodeJS
Desired: candidates with postgraduate taught or research degrees.
This company is able to sponsor international candidates for this role
Recruitment Process
The candidate(s) who best outline their suitability and motivation for this role will be shortlisted and their applications will be sent to the company. The company will then choose which candidates to interview.

First interview via video conference then face to face second interview

Applicants from all degree backgrounds are welcome, but the employer is particularly interested in hearing from those with backgrounds in:
  • UCL Computer Science
  • UCL Electronic & Electrical Engineering
  • UCL Science, Technology, Engineering and Public Policy
  • UCL Medical Physics & Bioengineering
  • UCL Science & Technology Studies
  • UCL Mathematics
  • UCL Statistical Science
  • UCL Cancer Institute
  • UCL Division of Medicine
  • UCL Medical School


Note: By applying for this vacancy below, you confirm that you are a current UCL student, recent UCL graduate or member of UCL research staff only. You must submit a cover letter tailored specifically to this role as part of the application.

Due to the high amount of interest that we receive for each of our roles, we will unfortunately be unable to respond to each application individually. Only successful applicants will be contacted directly by the recruiter offering this vacancy.

If you are a current undergraduate / postgraduate or recent graduate, we advise that you book an appointment to have your application checked with one of our Application Advisors at UCL Careers.

Go to for information about booking an appointment.

If you are a PhD student and would like some advice on non-academic CVs and applications, please follow the link to a webinar here: Watch now...

If you would like to apply for this job then please click on the button below.
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