As part of our company growth we are looking to appoint an research engineer with a focus on large-scale timeseries analysis, and associated database technologies.


Machines With Vision (MWV) is a fast-growing technology company developing a transformational mapping solution for use in the rail industry and beyond. Along with long-distance railways, metros and light rail systems are the foundation of city transportation and are critical to addressing climate change. Building and maintaining railways is expensive but ripe for digital transformation.

We are based in Edinburgh, UK, and over the last 5 years we have developed our key technology from proof-of-concepts and prototypes into a commercially deployed solution with a major national operator.

Our solution organises condition data acquired by mobile sensors, recorded by railway infrastructure owners, into a digital millimetre-accurate geospatial condition map that we call mobile sensor data mapping. This enables efficient subsequent analysis of infrastructure conditions such as trending and change detection for making markedly more efficient maintenance decisions.


As part of our company growth we are looking to appoint an research engineer with a focus on large-scale timeseries analysis, and associated database technologies.

This would suit an enthusiastic and pragmatic individual experienced in data science and particularly temporal-spatial data. We have a start-up culture and are looking to appoint someone who is a self-starter with a can-do attitude. There will be many interesting challenges and this role will best suit someone who relishes the potential opportunities, and satisfaction in solving them.


  • You will report to the Head of Research, and will have ownership for fundamental work in addressing our data challenges.

  • You will be responsible for developing novel new approaches to solving querying and alignment of data at scale, and the analytics powered from that.

  • You will work closely with colleagues in translating these into deployed systems to meet customer needs.

  • You will help in filing new IP based on this work.


  • Amazing Python expertise, and the eco-system of libraries to develop with.

  • Big-data processing stack and technologies (Spark, Hadoop, etc.).

  • Modern databases/approaches (e.g. Presto, Cassandra, Sqoop).

  • Large scale “traditional” GIS based databases (e.g. Postgres).

  • Tools for visualising and understanding the data.


  • Previous work in start-ups or similar early-stage company.

  • Experience working in or alongside an agile development team.

  • Experience of the rail or transport infrastructure industries.

  • At least 2-5 years industry experience.


  • Working with bleeding edge technology to make a significant difference in the future of transportation.

  • Opportunity for personal growth and development as we scale.

  • Competitive industry salary and share options.

  • Bike to work scheme and part of environmentally focused business.

  • Flexible working hours and home/remote support.

Machines With Vision is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age.

Living and Working in Edinburgh

MWV is based in Codebase, Europe’s largest Tech Accelerator situated in the heart of the historic city of Edinburgh. Long recognised as one of the world’s cultural and academic treasures, Edinburgh has recently emerged as the UK’s second city in terms of technology companies and also frequently tops lists of the world’s greatest places to live and work. As the workplace has changed with the ongoing pandemic, we now support team members working from home and hybrid working.


If you are interested in working for a fast-growing, fast-paced, bleeding-edge technology company, and want to apply for this role, please start the process by going to the following Typeform questionnaire and uploading your CV.