Job Description
MLOps Lead - Join the AI Robotics Revolution – up to £200k Total Compensation
You've probably architected and maintained the end-to-end lifecycle of AI/ML models, from development to deployment and monitoring.
Could you do that for a fleet of AI-driven bipedal robots?
To make things interesting, your solution will need to be spread across edge, on-prem, and cloud compute systems, while making no sacrifices in terms of latency, throughput, or availability.
A greenfield project, you’ll be making architectural decisions from day one. Given the cutting-edge field, there isn’t yet a consensus on how you best do this, you might well have a hand in creating one.
Working alongside experts from AI, Robotics, and Software Development, you’ll likely be a principal-level MLOps expert elsewhere. However, there isn’t the possibility of siloes here. You’ll contribute across the sum of MLOps/DevOps – from CICD to Kubernetes, to TensorFlow, PyTorch, and the AWS native ML tools.
Based in central London, your office will have a fully-fledged robotics lab within it. They want you on-site as much as possible, but three days will be the minimum.
Compensation will be broken down between, base and stock options.
If you want to break ground in a truly revolutionary space, I’d be keen to speak further and answer any questions.
No up-to-date CV required at this point.