Machine Learning Engineer
*Want to build AI that operates in the real world - not just in a notebook?#*
We’re looking for an exceptional AI Engineer to develop and deploy
state-of-the-art machine learning systems
tackling complex problems across computer vision, multimodal sensing, robotics and autonomy.
You’ll work end-to-end - from experimentation and model development through to deploying robust AI on
cloud and resource-constrained edge hardware
.
What you’ll do
* Design, train and deploy
deep learning models
for challenging real-world problems
* Work across
computer vision, multimodal AI, perception and autonomy
* Take models from research and experimentation into
production
* Build end-to-end AI systems spanning
sensor data through to the user
* Optimise models for performance on
edge and resource-constrained hardware
* Work with large real-world and synthetic datasets
* Collaborate with strong software engineers to integrate ML into production systems
* Explore new approaches where existing techniques aren't good enough
We’d love to hear from people with experience in:
* Computer vision / robotics / autonomous systems
* Optimising models for
GPUs or edge hardware
* Multimodal and vision-language models
* Synthetic data, simulation or large-scale real-world datasets
* Production
MLOps and model monitoring
* Research published at venues such as
CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS or TPAMI
What’s on offer
* Highly competitive salary
* Generous
equity
* 7% employer pension
* Private medical + dental insurance
* Free daily meals
* Relocation support
* Access to the equipment, resources and training you need
* Significant ownership in an ambitious, technically demanding engineering team
This is an
office-first London role
and involves working directly with customers, including regular UK travel and occasional international deployments. You’ll need existing
UK Right to Work
and be willing and eligible to undergo
UK security vetting (SC or above)
.
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