Hacker News Reader

jritchieon Ask HN: Who wants to be hired? (February 2026)

  Location: Edinburgh, UK
  Remote: Yes
  Willing to relocate: No
  Technologies: Machine learning, statistics, deep learning, data science, Python, PyTorch, Numpy, scikit-learn.
  Résumé/CV: https://jmsrt.ch/docs/james_ritchie_cv.pdf
  Email: hnhired@james.jmsrt.ch
  Website: https://jmsrt.ch

I'm interested in machine learning and data science roles. I have expertise in machine learning and statistics having completed a PhD applying Bayesian inference to difficult scientific modelling problems using deep learning. I also have multiple years of experience working in startups as an engineer and data scientist across a range of industries.

jritchieon Ask HN: Who wants to be hired? (January 2026)

  Location: Edinburgh, UK
  Remote: Yes
  Willing to relocate: No
  Technologies: Machine learning, statistics, deep learning, data science, Python, PyTorch, Numpy, scikit-learn.
  Résumé/CV: https://jmsrt.ch/docs/james_ritchie_cv.pdf
  Email: hnhired@james.jmsrt.ch
  Website: https://jmsrt.ch

I'm interested in machine learning and data science roles. I have expertise in machine learning and statistics having completed a PhD applying Bayesian inference to difficult scientific modelling problems using deep learning. I also have multiple years of experience working in startups as an engineer and data scientist across a range of industries.

jritchieon Ask HN: Who wants to be hired? (December 2025)

  Location: Edinburgh, UK
  Remote: Yes
  Willing to relocate: No
  Technologies: Machine learning, statistics, deep learning, data science, Python, PyTorch, Numpy, scikit-learn.
  Résumé/CV: https://jmsrt.ch/docs/james_ritchie_cv.pdf
  Email: hnhired@james.jmsrt.ch
  Website: https://jmsrt.ch

I'm interested in machine learning and data science roles. I have expertise in machine learning and statistics having completed a PhD applying Bayesian inference to difficult scientific modelling problems using deep learning. I also have multiple years of experience working in startups as an engineer and data scientist across a range of industries.

jritchieon Prophet: forecasting at scale

Probabilistic Programming & Bayesian Methods for Hackers [1] by Cameron Davidson-Pilon is exactly what you want, starting from a computational-first perspective, then introducing the maths later, although it uses PyMC rather than Stan. It's freely available as a set of Jupyter notebooks, as well as a printed edition.

[1] http://camdavidsonpilon.github.io/Probabilistic-Programming-...

jritchieon Don Eyles Walks Us Through the Lunar Module Source Code

> Sure. In 2014. Not in 1969.

The LM computer on Apollo 14 had to be updated in flight in order to bypass a faulty abort switch.[1] The patch was applied by radioing the instructions to the crew and having them enter it manually.

[1] https://www.hq.nasa.gov/alsj/a11/a11.1201-pa.html

jritchieon London vs San Francisco – back and forth

Approximately 7,000 residents [1], but over 400,000 employees. [2]

[1] http://www.cityoflondon.gov.uk/services/environment-and-plan...

[2] http://www.cityoflondon.gov.uk/business/economic-research-an...

jritchieon London vs San Francisco – back and forth

In London, tech does not rule the city. No single industry does. Not even finance.

Apart from the City, which is quite literally ruled by the finance industry. [1]

[1] https://en.wikipedia.org/wiki/City_of_London#Elections

jritchieon Python 3 comes to Scrapy

OpenCV 3 supports Python 3[1], but it's not distributed through PyPI.

[1] http://opencv.org/opencv-3-0.html

jritchieon Signs of Secret Phone Surveillance Across London

Yes, but the value of the collected data is much reduced if you can't distinguish between legitimate IMSIs and spoofed IMSIs of devices that were never actually there.

jritchieon Signs of Secret Phone Surveillance Across London

Do IMSI catchers have any way of verifying the intercepted IMSIs are legitimate? If not, would it be possible to build a device to flood them with fake/spoofed IMSIs?

jritchieon Ask HN: Who wants to be hired? (November 2015)

Location: London, UK

Remote: OK

Willing to relocate: Western Europe, for the right opportunity

Technologies: Backend Development, Machine Learning, Computer Vision, Python, Django, Android

Résumé/CV: https://drive.google.com/file/d/0B42Td33FXXC3U1M2LXhwcnUwSTA...

Email: james.a.ritchie (Gmail)

Github: JamesRitchie

Junior engineer with an interest in data science, additional experience in backend development. Ideally looking for teams with interesting problems they want to solve with machine learning.

jritchieon Ask HN: Who is hiring? (July 2015)

All of your internship adverts are out of date. (Start date 3 months past.) Are they still current?