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  "job_title": "Senior MLE (LLMs) - InsureTech",
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  "job_description": "Do you want to build production-grade AI agents with real commercial impact?\n\nHave you taken LLM systems from prototype to secure, scalable production?\n\nAre you ready to shape the ML foundations of an AI-first insurer?\n\nA digitally-led UK specialist insuretech (200–300 employees) is undergoing a major AI transformation following recent refinancing and dedicated AI investment. A new Head of AI joined in December 2025 with a roadmap to scale the team to 10 and deliver end-to-end agentic automation across the claims lifecycle. Early AI products are already live, and this is a foundational hire in that journey.\n\nThis is an Machine Learning Engineer role focused on making AI capability production-ready, scalable and stable. You’ll lead the engineering of AI agents, influence architecture and define ML engineering standards across the platform.\n\nKey Responsibilities\n\n• Build and operate production-grade LLM-powered agents on GCP\n\n• Design and scale robust RAG pipelines (ingestion, chunking, vector search)\n\n• Integrate ML systems with policy, claims and CRM platforms via REST APIs\n\n• Implement evaluation frameworks, monitoring, A/B testing and cost/latency dashboards\n\n• Embed security, GDPR compliance, RBAC/IAM and auditability into ML systems\n\n• Partner with Product and Claims to deliver measurable automation and cost savings\n\nKey Details\n\n• Salary: £80k-£90k base\n\n• Working model: Hybrid – 1–2 days per week in South West London\n\n• Tech stack: Python, GCP (Vertex AI, BigQuery, Cloud Run/Functions), LLMs, embeddings, vector databases, Docker, Kubernetes, CI/CD\n\n• Visa sponsorship: Not available\n\nInterested? Please apply below.",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1774396800,
  "job_posted_at_datetime_utc": "2026-03-25T00:00:00.000Z"
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