Assembly Operator
Watson-Marlow Fluid Technology Solutions1w ago
Huddersfield
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136,000+ live jobsDevOps & IoT Platform Engineer
On-site in Redruth·Added 2 months ago (last checked 4 Oct)
Watson-Marlow Fluid Technology Solutions
32 open roles
Overview
Requirements
Work on-site in Redruth
No relocation package mentioned.
Skills
The role
DevOps, cloud operations and platform reliability
- Build, maintain and improve automation for cloud and IoT platform services that support connected products.
- Develop and maintain CI/CD pipelines, deployment workflows, environment controls and repeatable release processes using tools such as GitHub, Azure DevOps and related platform tooling.
- Help maintain Azure-based development, test, QA and production environments used by digital, IoT, data and ML platforms.
- Contribute to secure platform configuration, access control, secrets management, monitoring and operational governance.
- Monitor platform health, investigate operational issues and contribute to improving reliability, supportability and repeatability across digital product environments.
- Support reliable device-to-cloud data flows from connected products, gateways, cloud services and downstream data platforms.
- Work with telemetry, time-series and industrial IoT data sources, helping to ensure data is available, structured and usable for engineering, product and analytics teams.
- Support operational data pipelines that provide reliable data for engineering analytics, product insights, connected services and machine learning use cases.
- Assist with troubleshooting data ingestion, connectivity, data quality and integration issues across the connected-products ecosystem.
- Document deployment steps, support processes and platform knowledge to improve maintainability and reduce reliance on manual intervention.
- Work with IT, cyber security, software, firmware and supplier teams to support service availability, incident resolution and controlled platform change.
- Contribute to data validation, monitoring, transformation and handover between operational platforms and analytical environments.
- Proactively identify opportunities to simplify, automate and strengthen digital platform delivery.
- Develop capability in MLOps practices such as experiment tracking, model packaging, model registry, model promotion and governed deployment workflows.
- Support AI developers with repeatable workflows that move ML code, configuration and artefacts through controlled development, test, QA and production stages.
- Contribute to the longer-term development of the ML platform, including quality gates, lifecycle controls, operational monitoring and supportability.
About Watson-Marlow Fluid Technology Solutions
- Industry
- Engineering
- Headquarters
- Falmouth, United Kingdom
- Website
- wmfts.com
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