Eden Scott
United Kingdom
Principal Site Reliability Engineer (Platform Engineering)
- AI
- Ansible
- AWS
- C#
L
Senior MLOps Engineer
United Kingdom
Full Remote
AI Summary
Partner with a well-known organisation to build and scale its next-generation ML platform. Design, deploy, and maintain machine learning services across a modern cloud environment. Contribute to infrastructure automation and drive improvements in platform performance and maintainability.
Key Highlights
Design, build and maintain infrastructure for deploying machine learning models into production
Develop and maintain Python APIs using FastAPI and/or Flask
Work closely with Data Scientists to productionise models and improve deployment reliability
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Key Responsibilities
Design, build and maintain infrastructure for deploying machine learning models into production
Develop and maintain Python APIs using FastAPI and/or Flask
Work closely with Data Scientists to productionise models and improve deployment reliability
Build and enhance CI/CD pipelines for machine learning deployment workflows
Implement monitoring, observability, and model lifecycle management processes
Build scalable cloud-native solutions using modern engineering best practices
Contribute to infrastructure automation through Infrastructure as Code
Drive improvements in platform performance, resilience, security, and maintainability
Technical Skills Required
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Benefits & Perks
£475-500/day
Remote in the UK
Initial 6 Months Contract
Job Description
Senior MLOps Engineer | Contract Role
Outside IR35 | £475-500/day | Remote in the UK | Initial 6 Months
We're partnering with a well-known organisation that is investing heavily in its machine learning capability and looking for a Senior MLOps Engineer to help build and scale its next-generation ML platform.
This is a highly hands-on role focused on productionising machine learning solutions, building deployment pipelines, and developing the infrastructure that enables Data Science teams to deliver models reliably at scale.
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