Senior AI Platform Engineer
On-siteManchester, England, United Kingdom or London, England, United Kingdom
Job Summary
Design and implement AI architectures and production solutions, helping clients move experiments into secure, scalable delivery for large-scale user bases. Contribute to platform standards covering governance, observability, security, and orchestration while providing technical guidance to engineers across delivery teams. Develop reusable engineering patterns and accelerators, collaborating with architects to ensure alignment with wider cloud, data, and enterprise requirements. Support technical discovery and client architecture discussions to shape AI opportunities. This role involves working closely with delivery, account, and capability teams to build AI platforms that solve real-world problems. You will contribute to internal enablement initiatives and support the continued development of AI engineering capability within UBDS.
Required Qualifications
- Strong hands-on engineering background with experience delivering secure AI platforms, AI-enabled applications or machine learning solutions into production environments
- Strong understanding of modern AI architecture patterns and real-world operational delivery, including MLOps and Evals
- Strong Python engineering capability and experience working across cloud-native engineering environments
- Experience integrating AI capabilities into wider enterprise, cloud and data ecosystems
- Experience taking technical ownership of solutions or significant engineering workstreams
- Comfortable working directly with client stakeholders and explaining technical decisions clearly
- Ability to collaborate effectively with architects, engineers and multidisciplinary delivery teams
- Experience supporting or mentoring other engineers
- Experience with Amazon Bedrock and SageMaker
- Experience with Claude / Anthropic
- Experience with Azure AI Foundry or Azure OpenAI
- Experience with Databricks
- Experience with Vector databases and RAG architectures
- Experience with Agentic AI orchestration frameworks and MCP servers
- Experience with Model and data lifecycle management
Desired Qualifications
- Experience working within public sector or regulated environments
- Experience with secure government delivery environments
- Experience supporting bids, pre-sales or technical discovery activities
- Knowledge of responsible AI and AI governance frameworks
- Experience contributing to engineering standards, reusable patterns or technical communities of practice
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