DevOps & IoT Platform Engineer

Job Title: Dev Ops & IoT Platform Engineer

Location: Redruth, Cornwall UK

Location Type: Hybrid (2/3)

Website:

Group:

Watson-Marlow Fluid Technology Solutions is part of Spirax Group, a FTSE
100 and FTSE4

Good multi-national industrial engineering Group with expertise in the control and management of steam, electric thermal solutions, peristaltic pumping and associated fluid technologies.

When you join us, you will be integrated into a cooperative and encouraging team, participate in challenging yet critical work, and experience ongoing growth opportunities to help you achieve your full potential. Visit our website to learn more.

The Dev Ops & IoT Platform Engineer is responsible for supporting the build, operation, automation, and reliability of the digital infrastructure that underpins Watson-Marlow’s connected products and industrial IoT capabilities.

The role will initially focus on Dev Ops, cloud platform operations, IoT data flows, deployment automation, environment management, monitoring, and secure integration between connected devices, cloud services, data platforms, and engineering teams.

As the capability matures, the role will provide a clear development path into MLOps and ML platform engineering, supporting model deployment, model lifecycle controls, ML pipeline automation, and governed promotion of machine learning solutions from development into production.

• 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 Git Hub, Azure Dev Ops 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…