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Software Development Engineer

  • Location:

    Cambridge, Cambridgeshire

  • Sector:

    IT

  • Job type:

    Contract

  • Salary:

    Negotiable

  • Contact:

    Reading Professional

  • Contact email:

    Reading.web@brookstreet.co.uk

  • Job ref:

    HH5734_1570190570

  • Published:

    about 1 month ago

  • Duration:

    6 months

  • Expiry date:

    3/11/2019

  • Startdate:

    ASAP

Job Description

Software Development Engineer
Cambridge

Brook Street is currently working on behalf of our Global IT Client to recruit a Program Manager. This is a contract role based in Cambridge for 6 months.

As a Brook Street contractor you will be entitled to 25 days holiday per annum, 8 days paid Bank Holidays pro rota, discounted gym membership, access to online learning and training.

Salary: Up to £58,890 plus 5% end of contract bonus per annum depending on skills and experience

Software Development Engineer Responsibilities:

  • Working with world-class researchers, engineers, and design experts

  • Participating in, and contributing to, the generation of novel ideas and opportunities to showcase novel machine learning techniques in games
  • Planning your delivery and ensure the team can efficiently leverage the results of your work
  • Developing novel game scenarios and prototypes, bringing together creativity and a hands-on approach
  • Working on cutting-edge research in artificial intelligence and machine learning in video games

Program Manager Requirements:

  • Educated to BSc (required) or Masters (desired) level in Game Development, Software Engineering, or a related area, or proven comparable experience in industry
  • Over 3 years of proven game development experience
  • Experience of development in modern game engines (e.g. Unity, Unreal) is required. Experience across a range of game engines and development tools is ideal
  • Hands-on knowledge of Python and either C/C++ or C# is required
  • Knowledge of Java and game modding
  • Familiarity with Azure services and/or other cloud platforms and technology
  • Experience and or motivation to learn about in machine learning, including reinforcement learning, is a big plus (including understanding data requirements, experimentation at scale and methods of evaluation)

Deadline for applications: Tuesday 8th October at 12:00pm

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