- Data Science
About the role
MLOps Engineer – NLP/Computer Vision Scale-up – London (remote) - £100k
Have you designed, developed and managed Machine Learning infrastructure?
Are you up to date with MLOps best practices?
Would you like to drive the development of ML infrastructure and productionize Deep Learning (Vision and NLP) models for this award winning Scale up?
Who are we?
We’re a Scale-up that have 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.
We’re looking for a 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 models to cloud and edge devices, driving the deployment and monitoring of models throughout the lifecycle.
This role is ideal for someone with….
- Experience with DevOps tools (Chef, Jenkins, Maven, Cradle, Puppet, Ansible etc)
- Cloud scaling tools (EC2, ELB, S3, Cloudformation etc)
- Automated pipelines and version tools (MLFlow, Kubeflow, Polyaxon etc)
- Experience in deploying ML models
What do we offer?
We’ve recently secured an 8 figure Series A funding, which makes this a brilliant time to join us for the right people. We offer a competitive salary up to £100k, unlimited holidays, flexible working and of course equity within the business after your first year.
If you feel this is the role for you or would like to find out more get in touch by clicking the ‘apply now’ button or get in touch with me by the following:
- Email me at email@example.com
- Call me on 02037736498
Please note: you must be eligible to work in the UK to be considered for this position.