AI Platform Engineer / Data Specialist

Gazelle Global Consulting — United Kingdom · Posted ~3 hours ago

Senior Contract Hybrid

Skills

AI engineering machine learning cloud platforms LLM APIs RAG DevOps data integration LangGraph knowledge graphs

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Summary ✨ AI‑Generated

An experienced AI engineering opportunity focused on designing and productionizing secure, scalable AI services. The role covers infrastructure, machine learning workflows, retrieval systems, automation, and data-driven solutions.

Highlights

Work on an enterprise AI program involving modern AI platforms, production systems, and advanced engineering practices with flexible working options.

Description

AI 'Artifical 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 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 guardrailsAI Platform Engineering: AWS/Azure, Bedrock, APIs, distributed systems, Terraform/Ansible, IAM, CI/CD and secure cloud infrastructureData Engineering: Python, REST APIs, webhooks, event-driven ingestion, EventBridge, SQS, Lambda, DynamoDB, AWS DMS, Airflow/dbtKnowledge Engineering: Neo4j/Cypher or RDF/SPARQL, knowledge graphs, embeddings, chunking, ETL and data qualityDevOps / Process Change: GitLab, CI/CD, branching, release management, environment management and AI-assisted developmentTechnical Architecture: Enterprise AI architecture, integration patterns, security, governance and 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.