Ref: BB/21686/A/KS/271124_1732712570
MLOps Engineer (AWS IaC Python) London / WFH to £80k
Do you have experience of putting Machine Learning models into production?
You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities.
As an MLOps Engineer you'll design, build and maintain scalable machine learning platforms, continually iterating and improving cloud based authentication and fraud detection systems using AWS SageMaker and other AWS services including EC2, S3, Lambda, CloudFormation and CloudWatch. You'll develop robust data pipelines and workflows for efficient data processing and storage using tools such as Amazon Athena, Apache Iceberg and Spark. Your primary focus will be on MLOps and software engineering to develop datasets, data pipelines, platform features, writing Python code to train, deploy, monitor and run real-time inferences.
There's an open, collaborative environment where learning and personal development are key and there's a strong pipeline of Greenfield projects as well as flexible working and a host of benefits; the company has been awarded Platinum standard by Investors in People and is multi-award winning with various DEI initiatives and excellent personal growth and career development opportunities.
WFH Policy:
You can work from home most of the time, joining colleagues in the London 1-2 days a week; when you are in the office you can enjoy a friendly team environment that encourages knowledge sharing and close collaboration.
About you:
What's in it for you:
As a MLOps Engineer you will earn a competitive package:
Apply now to find out more about this MLOps Engineer (AWS IaC Python) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
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