Senior Deep Learning Research Engineer
Quick Summary
Senior Deep Learning Research Engineer At Greyparrot, we build the eyes of a circular economy and are dedicated to creating tangible value for the waste recycling industry, reinventing current systems to better our society.
Pushing the boundaries of deep learning by building upon the latest research in object detection and classification. Developing deep learning methods using best software development practices; training, analyzing, and reporting model performance.
At Greyparrot, we build the eyes of a circular economy and are dedicated to creating tangible value for the waste recycling industry, reinventing current systems to better our society.
You will report directly to the Head of Deep Learning.
You will work within a focused DL team and collaborate with a dedicated Data team
You will also regularly interact with the wider company to ensure technical alignment across the organisation.
If you live in London or within commuting distance, we’d like you to come into the office at least once a week. If you’re elsewhere in the UK, we ask you to come in once a month, and for our Quarterly All Hands.
As a Senior Deep Learning Research Engineer, you are an architect of a sustainable future. You will have the autonomy to propose, discuss, and implement the best solutions for our customers.
If you are motivated by the challenge of applying cutting-edge Deep Learning in messy, real-world environments where your input directly reduces the global carbon footprint, you are in the right place.
Responsibilities
~1 min read- →
Pushing the boundaries of deep learning by building upon the latest research in object detection and classification.
- →
Developing deep learning methods using best software development practices; training, analyzing, and reporting model performance.
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Developing internal tools to further automate research and analysis workflows.
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- May 6, 2026
Signal breakdown
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