Information Technology
·
Sweden, Finland
Senior ML Platform Engineer (MLOps)
We usually respond within three days
The role
- Design, build and operate an ML platform (training & inference) on AWS/Azure/GCP.
- Automate the model lifecycle: ingestion, feature store, experiment tracking, CI/CD, model registry, approvals and rollbacks.
- Establish reliable deployment patterns (batch, streaming, online inference; containers/Kubernetes).
- Implement observability for data and model quality, drift, latency, cost, and reliability (SLOs/alerting).
- Contribute to platform security, governance and compliance (secrets, PII, access, lineage).
What you bring
- MSc/BSc in Computer Science, Data/Software Engineering or similar.
- 5+ years building production data/ML systems (MLOps/Platform/SRE background).
- Strong Python and at least one cloud (AWS/Azure/GCP).
- Hands-on with Kubernetes/containers and IaC (Terraform or similar).
- Practical experience with the ML toolchain (e.g., Airflow/Prefect, feature stores, MLflow, SageMaker/Vertex/Azure ML, Spark/Ray, vector DBs/RAG).
- CI/CD for ML (GitHub/GitLab/Azure DevOps), testing strategies, blue/green or canary releases.
- Solid understanding of data quality, drift detection and model monitoring in production.
- Professional English; Swedish or Finnish is a plus.
Nice to have
- Experience enabling GenAI/LLM use cases (prompting/RAG pipelines, embeddings, guardrails).
- FinOps/cost engineering for ML workloads.
- Security-by-design for ML (secret management, least-privilege, audit, privacy).
- Background with high-throughput or low-latency systems.
- Department
- Information Technology
- Locations
- Sweden, Finland
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About CO-WORKER TECHNOLOGY
Co-Worker Tech is a consulting and recruitment partner helping tech companies and industrial businesses grow sustainably. We combine rapid delivery with high quality and a clear people-first focus.
Founded in
2007
Co-workers
20 - 30
Turnover
Euro 12 million