Lead MLOps Engineer
Remote, United Kingdom
Applications have closed
Waracle
Waracle collaborate with businesses in financial services, health & energy to design and engineer intelligent digital experiences.Waracle is an industry leading team delivering digital solutions that transform how we live, work and play. Our growth has been significant and sustained, developing premium grade enterprise software for some of the UK’s biggest brands.
Recently recognised by Clutch as one of the Top B2B companies in the UK, we are constantly seeking top industry talent to join our team and grow our expertise.
Waracle is looking for a Lead MLOps Engineer to join us on a greenfield digital project for a major Fintech client. You'll be working within a top team, using cutting-edge technologies to build best-in-class applications.
We pride ourselves in our remote-first ethos so this role can be based remotely from anywhere in the UK or from any of our 4 tech hubs (Edinburgh, London, Glasgow and Dundee).
The Lead MLOps Engineer will lead a team of highly skilled MLOps Engineers, who are responsible for creating and architecting cutting-edge Machine Learning solutions. You’ll relish the challenge of having to solve complex problems and come up with brilliant solutions and products.
Some of the duties involved are:
Architecting new ML solutions on AWS and acting as the SME for AWS ML Services.
Identifying areas for improvement regarding model development and deployment.
Establishing new ETL patterns to enable data scientists and analysts to deploy new data objects.
Develop and maintain infrastructure for ETL workloads including ongoing architecture review.
Deploying new platform environments for other teams.
Requirements
Expert level skills with AWS and associated technologies (Lambda, Glue, Cloudwatch, Athena, etc)
Experience architecting new Machine Learning solutions, including supporting, maintaining and enhancing key data products.
Background working closely with a Data Science team.
Knowledge of Spark or Python.
Experience working within Financial Services is advantageous.
Ability to work across multiple teams and identify process improvement opportunities.
Tags: Architecture Athena AWS ETL FinTech Lambda Machine Learning ML models MLOps Python Spark
Perks/benefits: Career development
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