I'm currently partnering with one of the UK's leading consumer technology businesses as they continue to invest heavily in their Data & AI capabilities.
They're looking for an MLOps Engineer to help build and scale the infrastructure that enables machine learning across the organisation. Working alongside Data Scientists, Data Engineers and Software Engineers, you'll play a key role in taking ML models from experimentation through to reliable, production-ready deployment.
This is an opportunity to join a highly collaborative engineering environment where you'll influence the future of the ML platform while working with modern cloud technologies and best engineering practices.
What you'll be doing
- Building and scaling cloud-native infrastructure for machine learning
- Developing tooling that enables Data Scientists to deploy models efficiently
- Improving model monitoring, performance and reliability in production
- Building infrastructure using Infrastructure as Code
- Collaborating across Engineering and Data teams to improve the end-to-end ML lifecycle
- Helping shape the future direction of the company's MLOps capability
- Python
- AWS (SageMaker, ECS, Lambda, S3, Glue)
- Terraform
- FastAPI
- Snowflake
- SQL
- Grafana
- Metaplane
MLOps Engineer employer: Cognify Search
Cognify Search offers an exceptional work environment for the Head of ML & AI, where innovation meets collaboration. With a focus on enhancing customer experience through cutting-edge technology, employees benefit from a culture that prioritises professional growth and teamwork. Located in a dynamic eCommerce hub, this role provides unique opportunities to lead impactful projects while working alongside industry experts.
