MLOps Engineer London, England
Job description
- Scale-up AI app development platform.
- Develop and deploy solutions across Cloud platforms.
- Support Data and ML infrastructure
?£?A world-leading development platform are looking for an MLOps Engineer to support the business as it scales and help with the mission to democratise technology to anybody.
What you'll be doing
As an MLOps Engineer, you will work as part of a cross-function team to improve the existing platform.
You'll do this by tuning, improving and optimising data intensive systems, ensuring robustness and scalability of AI-based APIs as well as data and model training pipelines.
This will require:
- Supporting the team to build the infrastructure APIs
- Working on Kubernetes, Docker, Linux
- Support maintenance and monitoring of microservices
- Hosting the ML/NLP models alongside the Data Scientists
- Further automating SDLC
This role would suit a machine learning engineer who likes robust platforms or a data engineer transitioning into the MLOps space.
What you'll need to apply
- Experience as an MLOps Engineer/similar
- Python
- SQL
- Kubernetes and Docker/alternatives
- Experience deploying to the Cloud
What you'll get for your experience
A base salary of up to £80k plus a 10% bonus, equity and benefits.
Expectation is 1-2 days per month in the office in central London.
What's next?
Please apply with an up-to-date CV today, don't hesitate to call/email to discuss the finer details.
