Fuzzy Labs
Based in sunny Manchester, Fuzzy Labs are an experienced team of engineers and data science specialists, all passionate about the power of open source MLOps and how it can help productionise your AI.
Our open source approach is endlessly adaptable - tailored to your exact needs - and gives you the freedom to change, adapt and improve over time. Plus you own the solution, you’re not locked-in to restrictive licensing agreement, like with some off-the-peg products.
Get in touch, and we’ll help you unleash the potential of your AI.
Liam Stent | MLOps WTF #6 | From Vibes to Data
Bradney Smith | MLOps WTF #6 | Six Lessons in Evaluating Gen AI
Daisy Doyle | MLOps WTF #6 | Fraud, gotta catch 'em all
Are We the Last Programmers? AI and the Future of Code | Manchester Tech Festival 2025
Abhinav Singh | MLOps WTF #5 | Making vertical agents: challenges and learnings.
Emeli Dral | MLOps WTF #5 | How to Evaluate and Test AI Agents
Chris Billingham | MLOps WTF #5 | Can we fix it? Yes we can! RCA agents for your ML pipelines
How Much Do SRE Agents Really Cost?
Can We Trust an AI Agent in Production?
MLOps WTF Event #4 (Highlights)
How effective is our SRE AI Agent?
A Deep Dive into how we built our SRE AI Agent
Bringing Agentic AI into the Real World
Building an AI Chess Agent with MCP
MLOps WTF #3 (Highlights)
Thom Kirwan-Evans | MLOps WTF #3
WTF is MLOPs?
Edoardo Manino | MLOps WTF #3
Will Faithful | MLOps WTF #3
Large Language Model Security: Purple Llama
Large Language Model Security: How safe are your safeguards?
Large Language Model Security: Membership Inference Attacks
Large Language Model Security: Jailbreak Attacks
Large Language Model Security: Model Extraction Attacks Explained
Cybersecurity for Large Language Models - Introduction
Working at Fuzzy Labs - Team Interviews
11. MindGPT - Guardrails (part 2)
10. MindGPT - Guardrails
9. MindGPT - Evaluating LLMs
8. MindGPT - Prompt Engineering