Artificial Intelligence Engineer
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Role details
Tech stack
Job description
They’re now hiring a Senior / Principal AI & Data Engineer to help shape how intelligence is built into the product, from machine learning models through to emerging agentic workflows
This is not a “pure research” role, it’s hands-on, product-focused, and ideal for someone who enjoys taking ideas from concept to productio n. What You’ll Be DoingDesigning and building production-grade ML and data-driven featuresWorking closely with product and engineering to embed AI into real-world use casesDeveloping and maintaining data pipelines and model workflowsExperimenting with and implementing agentic / autonomous AI workflowsContributing across the stack where needed (APIs, services, integrations)Improving performance, scalability, and reliability of AI syst ems Tech & EnvironmentCore: Python (machine learning, data science, AI workflows)AI/ML: Applied ML, data modelling, experimentationAutomation / Agents: Agentic workflows, orchestration tools (e.g. n8n or similar)Data: Pipelines, transformation, structured data systemsBonus Exposure: Java / backend systems, full-stack environm
Requirements
What They’re Looking ForStrong commercial experience with Python in a data/AI/ML contextProven track record of building real-world ML or AI-driven features (not just notebooks)Experience working with data pipelines and production systemsInterest or hands-on exposure to agentic workflows / AI automationAbility to work across teams and take ownership of end-to-end de
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