Ed Shee retweeted
Did you miss our MLOps London meetup last week? ⏪
Check out @ukcloudman's latest blog post that recaps the talks that focused on distributed training and GPU inference. 🌀
Read the blog here: buff.ly/3QPn0Rb
#MLOpsLondon #ml #datascience
Hey @OpenAI. Need a hand? Scaling ML systems is kind of our thing at @seldon_io
Ed Shee retweeted
The #CloudNativeLon audience listening @ukcloudman @bongo talking about cloud native machine learning and sidecarless service mesh
@seldon_io @soloio_inc @IstioMesh
Ed Shee retweeted
We are delighted to have @ukcloudman as a speaker at Global #SRE Virtual Conference July 25th - 27th 2022.
Speaker buff.ly/3A5XEZl
Register now buff.ly/3xvrYdQ
#GlobalSRE #DevOps @seldon_io #Microservic #ML
Connect with him on LinkedIn buff.ly/3b2kCWw
Ed Shee retweeted
Join @ukcloudman for a 'Model to Microservice - Machine Learning at Scale' Webinar on Thu 23 June 3PM BST 💻
He'll introduce the #opensource Seldon Core library, build a model using 🔥 #ML tools & deploy to Kubernetes to handle production🚦 Sign up now👉 bit.ly/3m8FFJq
I'm excited to be speaking for the first time at #KubeCon this year. Hit me up if you're going to be around!
🍊The Seldon team is excited to be heading to #KubeCon + #CloudNativeCon Europe 2022 16 - 20 May! 🧡 Let us know if you’re going too, and we’ll make sure to come say hi 👋 Catch you in Valencia, Spain! #ML #MLOps
More info on @KubeCon_ here 👉 bit.ly/3ydbjMV
Thanks again @DVCorg for the DeeVee owl. You've made for a very happy toddler.
Ed Shee retweeted
Learn how to serve ML models with ease via MLServer -- new blog post by @ukcloudman #machinelearning #datascience #mlops pub.towardsai.net/serving-py…
Ed Shee retweeted
From model to microservice. Join us on Thursday 12 May as @ukcloudman of @seldon_io gives a practical demo of deploying and monitoring #MachineLearning models at scale. @CloudNativeWal @TramshedTech
meetu.ps/e/L1y2X/kfTjM/i
Ed Shee retweeted
Great to see @zenml_io include an integration to Seldon Core in their latest 0.7.1 release 🚀👏
We agree that CI/CD/CT with #machinelearning on #kubernetes is a piece of cake 🍰 with this latest ZenML x Seldon integration!
We 💜 our #opensource community! #mlops
🎉 ZenML 0.7.1 released today! A few weeks ago, we had the #mlflow deployer integration that took off! But it could only do simple deployments. With this latest ZenML and Seldon integration, CI/CD/CT with #machinelearning on #kubernetes is the next level!
Ed Shee retweeted
📣 Our next Tech Ethics London meet-up is taking place on Friday 18th February at 12:30pm GMT. Head of DevRel @ukcloudman is joined by Ben Byford to chat six years of the Machine Ethics Podcast. Sign up for your spot 👉 buff.ly/3gpZcCg
Ed Shee retweeted
A multitude of new vendors, consultancies, and open source tools are entering the #MLOps space, making it more important than ever to keep on top of what's happening. Head of DevRel @ukcloudman reveals the top MLOps & #ML events you can't miss this year 👉 buff.ly/3IUODmT
I'm very excited to announce I'm hiring at @seldon_io 🚀
Come and work with me as a Developer Advocate or Tech Writer and we'll build the most awesome developer experience around!
Job Descriptions 👇
boards.greenhouse.io/seldon/…
boards.greenhouse.io/seldon/…
Ed Shee retweeted
In one of our latest webinars, Head of DevRel @ukcloudman is joined by winner of AI Professional of the Year at the #NordicDAIRAwards, Errol Koolmeister to discuss how to build a machine learning framework 👉 buff.ly/32hOWbK
Ed Shee retweeted
We are pleased to announce the 0.8.0 release of Alibi Detect, featuring four new detectors! The new detectors are ideal for monitoring model performance in the supervised setting where label feedback is available.
You know that buzz you get from seeing someone supremely talented do their thing? Well I saw #Hamilton last night and had it all the way through. 🎶👏🎭
Awesome to be back hosting another #MLOps meetup last night in London. A huge thanks to both speakers,
@NickMasca and @philipbasford. Thread below with the recording, slides etc... 👇
The online MLOps Community with talks, a reading club and a great slack workspace:
mlops.community/
Model deployment, management, monitoring and explainability with @seldon_io :
seldon.io/





















