About the company
UBDS Group delivers modern cloud, data and AI solutions across public and private sector organisations. We design and build scalable, secure and production-ready platforms that solve real-world problems and deliver measurable outcomes.
Responsibilities
- Design and implement AI architectures and production AI solutions.
- Help clients move AI solutions from experimentation into secure production delivery for large-scale user bases.
- Contribute to platform standards covering governance, observability, security, orchestration and operational support.
- Participate in technical discovery and client architecture discussions.
- Work closely with delivery, account and capability teams to help shape AI solutions and opportunities.
- Provide technical guidance and support to engineers working across AI engineering delivery.
- Develop reusable engineering patterns, accelerators and reference architectures.
- Contribute to internal AI enablement and automation initiatives across UBDS.
- Work collaboratively with architects and technical leads to ensure solutions align with wider cloud, data, security and enterprise architecture requirements.
Requirements
- 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 some of the following technologies or ecosystems: Amazon Bedrock and SageMaker, Claude / Anthropic, Azure AI Foundry or Azure OpenAI, Databricks, Vector databases and RAG architectures, Agentic AI orchestration frameworks and MCP servers, Model and data lifecycle management.
- Desirable: Experience working within public sector or regulated environments, secure government delivery environments, supporting bids, pre-sales or technical discovery activities, knowledge of responsible AI and AI governance frameworks, contributing to engineering standards, reusable patterns or technical communities of practice.
Conditions
- Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies.
- Private medical cover for you and your spouse/partner, offered via Vitality.
- Discretionary bonus based on a blend of personal and company performance.
- Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays.
- Electric Vehicle leasing with salary sacrifice.
- Contributed Pension Scheme.
- Death in service cover.