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AI Platform Engineer Security - Contract - SGI

eFinancialCareers·London (South East England)
Salary not stated
Vox Summary
  • Role Overview: Supports design, deployment, and optimization of an enterprise AI platform for building and orchestrating AI workflows and automation.
  • Key Skills: Experience with n8n, APIs, LLMs, Python, JavaScript/TypeScript, Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
  • Responsibilities: Design and maintain AI workflows, integrate systems, develop reusable components, deploy AI services, and monitor platform performance.
  • Conditions & Benefits: Initial 6-month contract with potential extension, hybrid London location, daily rate of £700-800, and application consent for contact regarding recruitment.
Apply on sourceYou are leaving VoxJobs for reed.co.uk — the application is handled directly by the company. reed.co.uk

Job description

AI Platform Engineer (Contract) London (Hybrid) | Financial Services/Investment Management Overview Our client is seeking an AI Platform Engineer to support the design, deployment and optimisation of an enterprise AI platform used to build and orchestrate AI-powered workflows and automation. You'll work with modern AI tooling, with n8n expected to be the primary orchestration platform, helping engineering teams securely develop and deploy AI solutions across the business. Key Responsibilities • Design, build and maintain AI workflow automation using n8n and related platforms. • Integrate LLMs, APIs and internal systems into scalable AI workflows. • Develop reusable AI components and automation pipelines. • Deploy and support AI services across cloud and containerised environments. • Collaborate with Engineering, Security and Platform teams to deliver secure, production-ready AI solutions. • Monitor, troubleshoot and optimise AI platform performance. Required Skills • Experience building automation and integration workflows using n8n (or similar platforms such as LangFlow, Flowise, Make or Zapier). • Strong knowledge of REST APIs, webhooks and system integrations. • Experience working with LLMs (OpenAI, Anthropic or similar). • Familiarity with Python, JavaScript or TypeScript. • Experience with Docker, Kubernetes and cloud platforms (AWS, Azure or GCP). • Understanding of CI/CD and DevOps practices. Desirable • Experience with RAG, vector databases or AI agents. • Exposure to MCP (Model Context Protocol) or AI orchestration frameworks. • Experience building internal AI platforms in an enterprise environment. • Financial services experience is beneficial. Contract: Initial 6-month contract (likely extension) Location: Hybrid – London Rate: £700-800 per day By applying for this role, you consent to SGI contacting you by telephone regarding recruitment services, market updates, and relevant business opportunities We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives. Source Group International Ltd is acting as an Employment Business in relation to this vacancy

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Original source
reed.co.uk
Posted
Jul 20, 2026 · true date
Last verified
50 minutes ago
Quality score
35/100
Salary stated0
Company identified0
applyUrl0
postedAt15
Complete description20

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