> Markdown version of [/jobs/ext/329088-artificial-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/329088-artificial-intelligence-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer - **Company:** Productstrong - **Location:** Wakefield, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Python (Programming Language), Machine Learning, Workflow Management Systems, Backend, Data Analytics, Data Pipelines, Automation Anywhere - **Published:** June 5, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/x/38278535/ ## About the Role 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 ## 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 ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)