Gazelle Global
AI Artificial Intelligence - AI Engineers, Platform Engineering & Data Specialists - Multiple roles
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AI 'Artificial Intelligence' Platform, Engineering & Data Specialists - Multiple Roles
Location: Anywhere in the United Kingdom or London / Hybrid-Remote (as or when required)
Contract: 6–12 months
Rates: Strong market rates available - Inside IR35
We are building an enterprise-grade AI platform supporting secure, scalable, and production-ready Generative AI and ML capabilities within a major UK government environment. We are looking for experienced AI, Platform, Data, Knowledge, DevOps, and Technical Engineering specialists to help build, integrate, and productionise modern AI services.
Job Description
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This is a hands-on programme covering the full AI engineering lifecycle, from cloud platform and infrastructure through to RAG, agentic AI, knowledge graphs, data integration, and AI-ready DevOps.
We are looking for experience across one or more of the following areas:
AI Engineering:
- LLM APIs
- RAG
- AI agents
- LangGraph
- Prompt engineering
- Evaluation and guardrails
AI Platform Engineering:
- AWS/Azure
- Bedrock
- APIs
- Distributed systems
- Terraform/Ansible
- IAM
- CI/CD
- Secure cloud infrastructure
Data Engineering:
- Python
- REST APIs
- Webhooks
- Event-driven ingestion
- EventBridge
- SQS
- Lambda
- DynamoDB
- AWS DMS
- Airflow/dbt
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Knowledge Engineering:
- Neo4j/Cypher or RDF/SPARQL
- Knowledge graphs
- Embeddings
- Chunking
- ETL
- Data quality
DevOps / Process Change:
- GitLab
- CI/CD
- Branching
- Release management
- Environment management
- AI-assisted development
Technical Architecture:
- Enterprise AI architecture
- Integration patterns
- Security
- Governance
- Productionisation
Experience within government, regulated, or complex enterprise environments is highly relevant. We require all candidates to be based in the UK and have the right to work; we cannot sponsor.
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