About the Company
We’re a Scale-up that has been developing AI tools to detect and stop the spread of fake news, images and videos, combatting online hate and enabling a fairer digital world. We’ve been doing this for 5 years now and have grown to a global team of 150 so far. We’ve had plenty of success with our text-based and image/video processing tools.
About the Role
We’re looking for an MLOps Engineer to develop our ML infrastructure and improve delivery speed by automating processes. You’ll work with our Scientists and AI Engineers productionizing Deep Learning (Vision and NLP) models to cloud and edge devices, driving the deployment and monitoring of models throughout the lifecycle.
Responsibilities
- Design, develop and manage Machine Learning infrastructure.
- Drive the development of ML infrastructure and productionize Deep Learning (Vision and NLP) models.
- Improve delivery speed by automating processes.
- Work with Scientists and AI Engineers to deploy models to cloud and edge devices.
- Drive the deployment and monitoring of models throughout their lifecycle.
Requirements
- Experience with DevOps tools (Chef, Jenkins, Maven, Cradle, Puppet, Ansible etc).
- Experience with Cloud scaling tools (EC2, ELB, S3, Cloudformation etc).
- Experience with Automated pipelines and version tools (MLFlow, Kubeflow, Polyaxon etc).
- Experience in deploying ML models.
- Up to date with MLOps best practices.
What We Offer
- Competitive salary up to £120k.
- Unlimited holidays.
- Flexible working.
- Equity within the business after your first year.
Important Note
You must be in the UK to be considered for this position.
