A chocolate making workshop in Newcastle made for a brilliant company day out ahead of AI in Production this week. 🍫 Two packed days at The Catalyst start tomorrow. See you there! #AIinProduction #AIP2026

Leeds Data Science Meetup is back 🎙️ Shubhangi Goyal joins us on 14 July to talk Context Driven AI Agents, covering context engineering, agent architecture, and real-world deployment. Free to attend at Enablis, Leeds (new venue!): www.meetup.com/leeds-data-s...

AI in Production is this week. Two days of workshops and talks at The Catalyst, Newcastle, covering LLM workflows, self-hosted inference, Databricks pipelines, and production-ready AI. Full programme: ai-in-production.jumpingrivers.com See you Thursday!

That's a wrap on our May meetup! Thank you to Mohammad Reza Sharifi and Arun Niranjan for two brilliant talks on cloud-first skills in data and AI, and Active Inference with pymdp. And thank you to everyone who came out to TusPark last night. This community is what keeps the meetup going.

Last day to register for AI in Production 2026. Main conference day is Fri 5 June, Newcastle. Two streams, lightning talks, speakers from Red Hat, Amazon, Netflix, Posit + more. Grab your ticket: ai-in-production.jumpingrivers.com/

North East Data Scientists is back in Newcastle tomorrow. Two great talks: cloud-first skills for data & AI practitioners (Mohammad Reza Sharifi) and decision-making under uncertainty with pymdp (Arun Niranjan). Pizza from 6pm at TusPark on Grainger Street. Hope to see you there! RSVP:

Workshop day is just 9 days away and we are so excited! Join us on 4 June in Newcastle for six hands-on workshops covering LLMs, Shiny, Databricks, and self-hosted AI. Grab your spot below. ai-in-production.jumpingrivers.com/

We've renewed ISO 9001 and ISO 27001, confirmed by the British Assessment Bureau. Quality management and information security, both assessed against rigorous global standards. You can find out more about how we work at www.jumpingrivers.com/about/

The Jumping Rivers team is presenting at PSI 2026 (15–17 June, ICC Belfast). 🔹 @csgillespie.bsky.social on R package suitability for clinical work. 🔹 Pedro on Shiny validation in regulated environments with the Litmusverse. Come find us at our booth! #PSI2026 #RStats

Thanks to John Carney and Obinna Iheanachor for great talks at last night's Leeds Data Science Meetup, and to everyone who came out. Want to speak at a future meetup? Contact [email protected]

Two data science meetups this month! 🎉 Tonight: Leeds Data Science Meetup, 6pm at The Elbow Room Next week (May 28): North East Data Scientists, TusPark Newcastle, 6pm Links to register in the replies 👇

Two weeks until AI in Production 2026! Workshops Thu 4 June, talks Fri 5 June. The Catalyst, Newcastle. Learn more and register at: ai-in-production.jumpingrivers.com #AIinProduction2026

Most charities and nonprofits have more data than they know what to do with. The capacity and expertise to use it is the missing piece. That's the gap we want to help close, learn more and apply for our Pro bono support: www.jumpingrivers.com/pro-bono/

Is your Posit setup actually optimised? The Posit Health Check runs 100+ checks across your configuration, flags security issues, and gives you clear recommendations to fix what matters. www.jumpingrivers.com/posit/health... #rstats #posit #datascience

The North East Data Scientists meetup is on 28 May in Newcastle 🗓 Two talks on the night: → Cloud-first skills for data & AI careers — Mohammad Reza Sharifi → Acting under uncertainty with pymdp — Arun Niranjan Free entry, pizza from 6pm, talks from 6:30pm at TusPark Newcastle. Register on Meetup

AI in Production 2026 is almost here. Workshops, two talk streams on machine learning & engineering, 20+ speakers from Netflix, Amazon, Posit, DoorDash and more. Thanks to our sponsors: @databricks.bsky.social, @posit.co, RSS, Accenture UK and CRC Press. ai-in-production.jumpingrivers.com

Validating entire R packages when you only use a fraction? Litmus gives regulated teams targeted validation: detect, score, and validate only what your code depends on. jumpingrivers.com/litmus

What happens when you combine deterministic engineering with probabilistic AI? Two talks at our Leeds Data Science meetup on 19 May. One on building reliable products with LLMs. One on cutting costs from £8,000 to £40 in production. Free. Leeds. 6pm. www.meetup.com/leeds-data-s...

Before you run update.packages() — check what changed first. Diffify offers side-by-side diffs for R and Python packages. NEWS, dependencies, functions, arguments. Free, no sign-up. diffify.com #RStats #Python

Meet the speakers for AI in Production 2026 — 30 practitioners from Netflix, Amazon, DoorDash, @posit.co , Neo4j, RedHat & more. Talks covering agentic AI, LLMs, ML in production & more. 4–5 June, Newcastle. General reg closes 28 May. ai-in-production.jumpingrivers.com

🗓️ Find R conferences & meetups for 2026 at jumpingrivers.github.io/meetingsR — from useR! Warsaw to AI in Production Newcastle, posit::conf Houston and beyond. Know one we've missed? Submit a PR! 🙌 #rstats #RCommunity

100+ training courses a year. One GitLab CI/CD pipeline. 50+ repos. Quarto keeps code examples honest. R packages keep things from being copy-pasted everywhere. 10 years of infrastructure in one post. Read about it here: www.jumpingrivers.com/blog/teachin...

4+ years. 500+ researchers. 50+ courses. We've been the Francis Crick Institute's data science training partner since 2019, building R and Python capability across one of Europe's leading biomedical research organisations. jumpingrivers.com/training

Calling #LLM APIs directly from #R and #Python is more useful than it sounds. Myles covered structured outputs, token costs, and why #RAG beats prompt engineering for domain-specific work. Watch the recording: youtu.be/GDQR3XcMl7U?...

Workshop day at AI in Production 2026 — pick two sessions from six expert-led workshops on LLMs, Databricks, Positron, Shiny, and self-hosted inference. Lunch included, drinks after. Thu 4 June, Newcastle. ai-in-production.jumpingrivers.com/

Welcome to the team, Kia Mack! 🌿 She's a data Scientist, physicist, GIS specialist, and wildlife conservation tech veteran. She's also running a Positron AI workshop at AI in Production 2026. Give her a warm welcome! 👋 #JumpingRivers #DataScience #NewJoiner #AIinProduction

Leeds Data Science Meetup is back this May with two talks on how deterministic approaches still matter when building with AI. 19 May, 6 to 8 PM BST, The Elbow Room, Leeds. Register: www.meetup.com/leeds-data-s...

Tomorrow: Programming with LLMs in R & Python with Myles Mitchell. 23 April 2026 1:15 PM UK time Online and free Learn LLM basics, pricing, limits, {ellmer} in R, structured outputs, image/PDF summaries, plus {chatlas}. Register: jumpingrivers.typeform.com/to/UmdyNbAs

R 4.6.0 "Because it was There" is set for release on 24 April. @russhyde.bsky.social writes up the more interesting changes — %notin% in base R, neater character column summaries, and more. Full breakdown with code: www.jumpingrivers.com/blog/whats-n... #rstats #datascience #rprogramming

Thank you to our sponsors @databricks.bsky.social, Royal Statistical Society, @posit.co, CRC Press for making #AIinProduction possible. With speakers from Netflix, Amazon, DoorDash + more. Join us in Newcastle, 4–5 June Grab your ticket at: ai-in-production.jumpingrivers.com/

Next week: Programming with #LLMs in #R & #Python. {ellmer} and {chatlas}, system prompts, structured outputs, PDF/image summarisation. Practical, code-first, free to attend. 23 April | 1:15 PM UK | Online Register: jumpingrivers.typeform.com/to/UmdyNbAs

Is R worth learning in 2026? Yes, the BBC, NHS, and FT all use it in production. Swipe for the full case. 📊 Read the blog post by Theo Roe to learn more: jumpingrivers.com/blog/why-learning-r-is-a-good-career-move-in-2026 #RStats #DataScience

In regulated environments, #dataengineering needs to do more than move data. Jumping Rivers helps teams in pharma, healthcare, government, finance, and other regulated sectors build scalable, governed platforms for #analytics and #AI. Contact us at [email protected]

George Stagg, Principal Software Engineer at Posit PBC, is speaking at AI in Production 2026. His talk looks at what it takes to build AI agents that hold up in production, from context and raw traffic to abstractions and system design. Learn more and register at: ai-in-production.jumpingrivers.com

R package validation in regulated environments can be slow, inconsistent, and hard to defend. Litmus gives teams a more structured, evidence based way to assess package risk. To learn more or make an enquiry, reach out at [email protected]

At Jumping Rivers, we’re offering pro bono support to charities, non-profits, and community organisations. Projects are focused, skills-based, and time-bound (6 to 18 hours), with a clear scope. Health checks, dashboards, data cleaning, and training. Apply: www.jumpingrivers.com/pro-bono

We're introducing the Frontend Dashboard Health Check at Jumping Rivers. UX, robustness, and responsiveness for Shiny and Dash apps. Detailed issues report, annotated screenshots, and suggested fixes included. www.jumpingrivers.com/blog/dashboa...

As models improve, we’re building long-running async agents that execute multi-step workflows. At AI in Production 2026, Meryem Arik will explore how these systems fail and how to design them to stay reliable. Newcastle, 4–5 June Register: ai-in-production.jumpingrivers.com/

Ever been handed a data process with zero documentation and told to just figure it out? That's exactly what Reproducible Analytical Pipelines are designed to prevent. Russ Hyde explains how. Check out the blog post here: jumpingrivers.com/blog/reproducible-analytical-pipelines/

At Jumping Rivers, training is built for teams to use straight away. Hands-on sessions, active coding, and a clear learning pathway help teams build skills they can apply immediately. Explore courses: www.jumpingrivers.com/training/pub...

Join our webinar Programming with LLMs in R & Python to learn how to call LLM APIs from R with {ellmer}, guide behaviour with system prompts, generate structured outputs, and summarise images and PDFs. 23 April, 13:15 UK Free, online jumpingrivers.typeform.com/to/UmdyNbAs

Don't wait until something goes wrong to think about AI compliance. Nathan Bilton joins AI in Production 2026 to cover the legal and regulatory landscape for teams shipping AI. Newcastle, 4–5 June. ai-in-production.jumpingrivers.com

pandas vs Polars: everyone asks which is faster. The better question is which reads more cleanly. Russ Hyde ran the comparison live, same dataset, both libraries. Full webinar here: youtu.be/YdvObBTb2Eg?...

New training courses for the rest of 2026 are live and filling up. 24 online courses across July to November covering R, Python, Git, Shiny, SQL, machine learning, Bayesian stats, and more. Two half days, hands-on, with a certificate. jumpingrivers.com/training/public

If AI is getting better at writing code, where does that leave us? That was the focus at last night’s Leeds Data Science Meetup. From deep thinking still mattering to the gap between notebooks and production, two great talks and even better discussions. Thank you to everyone who joined!

How does AI actually support risk and decision-making? Katy Morgan will share how AI is applied in internal audit, from tools and adoption to prompt design and risk analysis. 4–5 June, Newcastle ai-in-production.jumpingrivers.com

Is AI taking your job, or just changing it? Leeds Data Science Meetup — tomorrow, 24 March, 6 pm @ The Elbow Rooms, Leeds. Two talks, food included. RSVP here: www.meetup.com/leeds-data-s... — 95 already in! #DataScience #AI #MLOps

Welcome to the team, Stuart Campbell! 🚀 We're thrilled to have our newest Junior Systems Administrator on board — supporting infrastructure, working with our engineers, and keeping systems running smoothly. Give him a warm welcome! 🛠️ #JumpingRivers #NewJoiner

More pharma teams are moving to open source. R, Python, and Shiny offer flexible, reproducible environments that scale. The challenge is making that shift in a way that meets regulatory expectations and works in practice. That’s where we help. 🌐 jumpingrivers.com

Open source R is powerful. Governing it at scale is hard. Litmus automates R package risk assessment for regulated environments — scoring packages and generating audit-ready reports. jumpingrivers.com/litmus