AI, Data and ML Platform Engineering
ExperisLocation: Remote / Global Opportunities Rate: Open / Negotiable depending on experience Contract: Project / Contract Opportunities We are supporting a major technology programme and are looking to speak with experienced professionals across Data, Machine Learning, AI and Platform Engineering. This is a great opportunity to work on a large-scale, modern technology environment, helping to design, build, govern and operate data and ML platforms. We have requirements across architecture, engineering, security, operations and service delivery, so we're keen to speak with both hands-on technical specialists and experienced technical leaders. Opportunities Include
- Service Delivery Manager / Data Management & MLOps Architect
- Data & ML Services Engineer
- Data, ML & AI Governance Engineer
- Platform Reliability & Operations Engineer
- Security, IAM & Multi-Tenancy Engineer
- Developer Experience & Enablement Engineer
- Operational / On-Call Platform specialists Relevant Experience Depending on the role, we're interested in experience across:
- Python and SQL, with Go also desirable
- DataHub, including catalogue, metadata and lineage
- Trino / Starburst
- Dell Data Lakehouse
- JupyterHub
- PGVector
- OpenSearch
- Entra ID / OIDC
- FluxCD / Argo CD
- Helm
- Data and AI governance
- Platform reliability and operations
- Identity and access management
- MLOps and modern cloud-native environments 🌍 Remote and global opportunities 💰 Rates are open and dependent on experience / location 💻 Work across modern Data, AI and ML technologies 📈 Large-scale programme with opportunities across multiple technical disciplines 🤝 Opportunities for both technical leadership and hands-on engineering specialists Interested? Apply with your latest CV and details of your location, availability and rate expectations. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
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