CareerPlan

Engineering Manager, AI Platform

London - CommercialFull-time2026-10-13 → 2026-11-11

Core

Lead the Applied AI and Data Science team to build production-grade generative and agentic AI systems, NLP, and predictive analytics for internal tools and customer-facing features.

Role type

Senior Engineering Manager (AI Platform)

Builds

Generative and agentic AI systems, NLP and predictive models, AI-native engineering pipelines

Domain

Media & Information Services / Applied AI & Machine Learning

Deliverable

production ML models

Required skills

People management for AI/ML teams, Hands-on AI/ML engineering (Python), Modern agent frameworks (Strands Agents, LangGraph, Claude Agent SDK), Cloud-native AWS (Bedrock, SageMaker, Lambda, CDK), LLMOps and MLOps, Agent security and guardrails, AI-native software delivery, Product sense

Preferred skills

Experience in media/publishing industry, Building and operating agentic AI systems in production

Technologies

Python, AWS (Bedrock, SageMaker, Lambda, Step Functions, CDK), LangGraph, Strands Agents, Claude Agent SDK, MCP, A2A, OpenTelemetry, Claude Code, Cursor, GitHub Copilot

Responsibilities

Lead and manage the multidisciplinary team of AI Engineers, ML Engineers, NLP Engineers and Data Scientists; Own delivery planning, resourcing and prioritisation; Contribute directly to code, architecture and implementation; Shape architecture of agentic AI, RAG and ML systems; Oversee development of safe and reliable agents with guardrails; Ensure quality, security and compliance; Champion AI-native engineering with coding agents; Partner with Product, Data Engineering, Security and business units; Hire and grow the team; Drive best practices like CI/CD and experiment tracking

Seniority

Senior, hands-on IC with people management