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An innovative research and development team is seeking a Computer Vision and Machine Learning Engineer to join their AI division. This role offers the chance to work on cutting-edge mobile technologies and tackle real-world challenges in a hybrid environment. As part of this dynamic team, you will leverage your expertise in machine learning frameworks and image processing to enhance AI-driven content creation. If you're passionate about pushing the boundaries of technology and eager to make an impact, this opportunity is perfect for you, offering a collaborative and forward-thinking workplace where your contributions will be valued.
Computer Vision & Machine Learning Engineer - 6 Month Contract or Internship - Immediate Start
Position Summary
A leading research and development team in the UK is seeking a Computer Vision and Machine Learning Engineer to join their innovative AI division based in Staines-upon-Thames, Surrey. This role offers a unique opportunity to contribute to the development of next-generation mobile technologies.
We are looking for individuals passionate about pushing the boundaries of AI, content creation, and real-time camera frame and image processing on both PC and mobile platforms. This role offers the chance to work in production environments and tackle real-world, industry-relevant challenges.
This position is available as either a 6-month internship or a 6-month contract (outsourced via an agency) and follows a hybrid work policy of 3 days onsite and 2 days working from home per week. We are looking for candidates available for an immediate start—please apply only if you can begin within 1 month of accepting the role. Unfortunately, visa sponsorship is not available for this position.
Role and Responsibilities
As a Machine Learning Engineer, you will:
Skills and Qualifications
Required Skills:
Desirable Skills:
Contract Details:
Type: 6-month internship or 6-month contract (via agency, Inside IR35)
Location: Staines-upon-Thames, Surrey, UK
Hybrid Policy: 3 days onsite, 2 days remote per week