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Your in house MLOps team

Based in Manchester, we are an experienced team of engineers and data science specialists, all passionate about the power of open source MLOps. Our clients tell us that we’re knowledgeable, helpful and good to work with. We work hard to earn their trust.

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Our approach is

Flexible

Open Source

Transparent

Collaborative

The Fuzzy Labs difference

We passionately believe that open source tools are the best way to create MLOps solutions. They give you more flexibility. They’re future proof. They can be tweaked according to your needs. Plus, importantly, you own the solution. You’re not locked into a proprietary product, which may not be able to change and adapt as your needs evolve.

We also know that the tools themselves are only part of the equation. We spend time working closely with our clients, to ensure they fully understand how best to use these tools to move forwards. See us as an extension of your in-house team.

Our industry is littered with proprietary platforms, all claiming to be ‘the best’. Reading about them all is both bewildering and exhausting. But our experience has shown that the fastest, most cost effective and flexible choice for our clients is to develop bespoke MLOps solutions using open source tools.

Curious? Well then, let’s chat.

Our team

Matt Squire
Matt Squire
CTO & Co Founder

Matt has spent his career building high-scale, data-driven applications in many domains including advertising, price comparison, biometrics, and IoT. He's passionate about productionising machine learning through great open source tooling.

Matt uses Emacs
Tom Stockton
Tom Stockton
CEO & Co Founder

With a background in DevOps and SRE, Tom not only has a wealth of experience engineering reliable production environments, but as the lead guitarist in his band, he's a literal DevOps rockstar. He's worked with many prominent tech clients, most recently leading efforts.

Tom uses Vim
Liam Wilson
Liam Wilson
Commercial Director

With a background in data analytics recruitment and community building through MancML and the How AI Built This podcast, Liam is in charge of spearheading our ambitious community plans and bringing on new projects for the team. Football enthusiast and currently the best Fifa player at Fuzzy Labs.

Liam uses LinkedIn
Mikhail Iakovlev
Mikhail Iakovlev
Software Engineer

Mikhail (Misha) studied computer science at the University of Manchester and went on to study a masters in bioinformatics and theoretical systems biology at Imperial College London, where he worked on the Missense3D project for protein mutation prediction.

Misha uses Visual Code Studio
Oliver Ursell
Oliver Ursell
Software Engineer

Hardware hacker, amateur fencer and computer scientist from the University of Manchester. Ollie is a versatile programmer specialising in Python and GoLang. He also apparently has a stash of expensive cat sh*t coffee (Kopi Luwak) but to date we haven't seen it materialise.

Ollie uses Nano
Ian Brookes
Ian Brookes
Investor & Advisor

Ian has worked for 30 years as a startup founder, investor and advisor, latterly helping tech startups scale for high growth. He helps build the commercial, team and financial frameworks of Fuzzy Labs, supporting the founders to bring their ambition to life.

Ian uses Google docs