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Graduate Opportunity

Graduate AI Engineer

Biotechnology/Robotics/Mechatronics.

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At Cambridge Consultants, we use artificial intelligence, machine learning and advanced analytics to help our clients deliver world-changing innovation. We are looking for a talented Graduate AI Engineer who is passionate about solving challenging problems using Deep & Machine Learning methods.

About the role 

The AI Group within the Wireless and Digital Services division works on a wide variety of projects. In joining our group as an AI Engineer, you’ll be putting AI to use solving real world problems across many of the market sectors Cambridge Consultants operates in. This could be in areas as diverse as improving medical imaging, optimising communications networks, or adding intelligent features to consumer devices.

An Introduction to Cambridge Consultants

We thrive on innovation challenges

You will work as part of a project team supported by senior AI Engineers, often alongside domain experts from other disciplines – from mechanical to software engineering, from physics to biology and more. You may find yourself analysing and processing data, implementing machine and deep learning algorithms or training and testing models. You’ll need to be able to communicate well with both colleagues and clients, for example, through sharing results, or reporting on an investigation into new technology.

Cambridge Consultants invests in its people, and we aim to provide a supportive environment where you can develop your career through training and mentoring alongside the experience gained working on client projects. Aside from project work, we have many in-house interest groups to share ideas and learn from. You’ll also have the opportunity to propose and develop your own ideas through our Early Investment Program.

What you'll be doing 

  • Exploration and processing of data
  • Research and software development for the design, implementation and deployment of Machine Learning systems
  • Communicating the results of your work to your colleagues and clients

What you can bring 

  • Python programming experience 
  • A good degree in a relevant subject, such as Machine Learning, Computer Science or Engineering
  • Experience using a Deep Learning framework (e.g. PyTorch, TensorFlow or JAX based frameworks)
  • Excellent teamworking skills

Why Cambridge Consultants? 

Cambridge Consultants creates exciting and novel breakthroughs in technology and products. We help our clients achieve the kind of game-changing leap forward that will transform their whole business.

At the heart of what we do are talented and motivated multi-disciplinary teams empowered to create cutting edge technologies and systems to solve difficult problems for our clients.

We recognise and celebrate individual talent and we understand the importance of letting individuals be just that. Our people are here to do the best work of their lives and our job is to provide the platform for them to do it. That means letting people pursue the projects that interest them and develop their career in whatever direction they choose.

We’re committed to promoting a diverse workplace. We believe that diversity can only flourish when everyone feels included and has a sense of belonging.

We value all people regardless of gender (or gender reassignment), age, disability, race, ethnic origin, parental status, language, religion, marital status or sexual orientation.

Benefits

  • Competitive salary reviewed annually 
  • Company profit share 
  • Generous pension 
  • Hybrid working model 
  • Flexible working hours and location 
  • 25 days' annual leave plus public holidays, with flexibility to carry over / borrow 
  • Comprehensive insurance - Life, disability, private healthcare and travel insurance (business & leisure)
  • Enhanced family leave benefit of 13 weeks full-pay parental leave for those that meet qualifying criteria
  • Career development and training opportunities
  • Social committee
  • Discounted train season tickets, through Travel Plan Plus
  • If travelling to Cambridge by train; Free shuttle service to/from Cambridge North train station, through Cambridge Science Park
  • Whilst in the office; Free canteen - breakfast, lunch & refreshments 
  • A comprehensive relocation package is available, if applicable 

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Opportunity Overview

  • Deadline: Ongoing
  • Starting: September 2022
  • Starting Salary: Competitive + Company profit share + Generous pension + benefits
  • 2:1 and above
  • Cambridge
    (Show map)

Preferred Disciplines...

  • Bioengineering
  • Biotechnology
  • Computer Science
  • Mechatronics
  • Robotics

Also Accepting...
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