Remote job · IT and software
Senior ML DevOps Engineer
In one line: Senior ML DevOps Engineer is a remote role in Belgium at a technology consultancy serving European institutions.
- Remote (Belgium)
- A technology consultancy serving European institutions
- Posted 16 Oct 2026
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https://keywordise.com/mcpApply to Keywordise job 7slsgkw4ijAbout the role
Design and run secure, scalable machine learning infrastructure and MLOps pipelines, integrating applications with cloud platforms for AI workloads. The role focuses on automation, security architecture and performance optimisation across hybrid environments.
At a glance
- PayNot stated in the posting
- Remote scopeRemote, Belgium
- Posted16 Oct 2026
- Last checked18 Oct 2026
What you will do
- Build interoperable, secure solutions using standard frameworks and design patterns
- Create vendor-neutral data platforms for AI and machine learning across multiple clouds
- Design MLOps pipelines that automate the model lifecycle from development to serving
- Define security architectures aligned with risk management and data protection rules
- Set up CI/CD pipelines with infrastructure as code and configuration management
- Work with AI developers, analysts and IT operations to align architecture with business goals
What they look for
- Hands-on expertise with Docker and Kubernetes for containerised deployment
- Experience designing networks that connect distributed systems to hybrid cloud setups
- Proficiency with monitoring and alerting tools like Prometheus and Grafana
- Knowledge of load balancing and caching technologies such as Redis
- Familiarity with security scanning tools, encryption and identity management
Nice to have
- Knowledge of the European Commission grant management ecosystem
- Familiarity with AI coding assistants such as GitHub Copilot
Questions about this job
Can I do this job remotely, and from which countries?
Yes, it is listed as remote, aimed at candidates in Belgium.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
The posting asks for: hands-on expertise with Docker and Kubernetes for containerised deployment; experience designing networks that connect distributed systems to hybrid cloud setups; proficiency with monitoring and alerting tools like Prometheus and Grafana.
How do I apply with Keywordise AI?
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