Machine Learning - AI Engineer (ID: yteQMFUw)

Place of Work: On-site
Salary: £ 50000 - £ 65000 (Per Annum)
Date Posted: 17-Jul-2024
Expiry Date: 01-Mar-2025
Job Details:
Location: Bristol, Bristol, United Kingdom
Job Category: Computer Sciences
Career Level: Experienced Professional
Contractual Type: Full Time/Permanent
Working Hours: Monday to Friday
Qualifications: PHD or Masters Preferred
Positions Available: 1
Skills Required
  • C++
  • Machine Learning
  • Python
Bonus
  • Yearly Bonus
Benefits
  • Company Pension
  • Flexitime
  • Free Parking
  • Life Insurance
  • Private Medical Insurance
  • Work from Home
Job Description

You must be Security Cleared or be eligible for SC Clearance and be a Sole British National.

A rapidly growing and dynamic organisation, offering consistently engaging and challenging work. To seize a significant growth opportunity, they are seeking top industry talent. Due to the nature of the work, the company and information on what they do will be disclosed at the interview stage.

In return, they provide an exciting career path that supports your ambitions, involving exposure to advanced technology solutions in specialised projects. Their close, collaborative relationships with clients enable you to work directly with end to end users.

Requirements for the role of Machine Learning AI Engineer:

  • SC clearance or be eligible
  • Sole British Citizen
  • Python coding language experience min of 3 years +
  • C++ coding language experience
  • Machine Learning applications implemented not just Data experience
  • Must have at least 3 years in Machine Learning
  • PhD OR Masters in either AI, Machine Learning or similar subjects

This is a great opportunity to work for a company who are very heavily involved in new technology in the aviation space and drones. If you think this role would suit what you and your set of skills for what you are looking for in the next challenge please don't hesitate to apply!

Other Benefits:

  • Employee discount
  • Employee mentoring programme

Education:

  • PhD (preferred)
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