Cervest is an ambitious start-up with a mission to do good – we are trying to fix some of the problems that the Earth and humankind face with regard to sustainability, risk and waste in the food and agriculture. It’s a big challenge, and it’s why we’ve built a research team with a strong track record in climate science, statistics, machine learning and AI.


The research team is led by Dr. Ben Calderhead and Dr. Theo Damoulas who are experts in Bayesian statistics and Machine Learning, lecturing at Imperial College London and Warwick University. Check out Theo’s recent work on air pollution monitoring as part of Alan Turing Institute (https://www.bbc.co.uk/news/business-48037412), and have a look at our website, to learn about the research team https://cervest.earth/about/. The models we develop include but are not limited to deep neural models, non-parametric modelling and spatio-temporal models – powered by the insights of our climate scientists, and partnering farmers.


The scope of our search is ever growing, the size of the data is in terabytes and the computational resources that we work with are in peta-flops – not a standard research setting! As a result we are looking for a software engineer to join our research team.


This position will primarily focus on designing and building tools to automate and scale our research. As such, no statistical science skills are required, though there will be opportunities to get involved more directly in statistical and machine learning modelling if you are interested in growing your skills in this area. Otherwise, if you want to learn more about climate models, there is an opportunity for that, too.


Research software engineers at Cervest work on a diverse and stimulating range of projects including: developing algorithms and prototype applications, providing software design and programming support to research projects, along with architecting and implementing software libraries and data solutions. At the start, the primary focus would be on providing support in remote sensing related projects, that being data ingestion, and infrastructure for model testing at scale.


The role offers a unique opportunity to join an early-stage, highly mission-driven team where you’ll have the ability to make a big impact on our company and our users. We are a team of impatient optimists who want to make a lasting, positive and sustainable impact across the planet. We believe the benefits of AI should be accessible, affordable and used to empower those managing nature’s resources – growers, buyers and policymakers – to adapt to rising climate volatility. Do you believe using technology, science and data to help create a more sustainable future is a huge opportunity for innovation? If so, join the Cervest team and help make an impact at scale.

We believe that a diverse team will help us achieve our mission sooner and we’re actively seeking applications from candidates of all backgrounds.


What you’ll be doing:

  • Providing software design and programming support to research projects and data ingestion
  • Reporting and presenting software developments including status and results clearly and efficiently both internally and externally, verbally and in writing
  • Architecting and implementing software libraries
  • Implementing systems for machine learning algorithms testing and continuous deployment


Great if you:

  • Have a BSc/BEng degree in a quantitative field (MSc/MEng preferable), or equivalent experience
  • Have solid knowledge and experience of python
  • Have experience with multi-threaded design and parallel/distributed computing
  • Are passionate about writing readable and maintainable code
  • Are ready to embrace unit tests, version control, code reviews, …


Even better if you have:

  • A working knowledge of C/C++
  • Experience with implementing numerical methods and data visualisation
  • Knowledge of data structures and algorithms
  • Interest in solving climate-related problems
  • Some knowledge of machine learning and/or statistics
  • Experience with GIS and handling geographical data
  • Experience with batch image processing in software


What’s in it for you:

  • Salary – £40K – 50K / annum (dependent on experience)
  • Flexible and remote working – at least 70%-80% of your time should be spent in our London office
  • Opportunities to learn, grow and thrive with support from talented and empathetic team mates



  • Jev@cervest.earth
  • No agencies, please


André DuBuisson 
Chief Product Officer

Andre is a product specialist with 16 years’ experience delivering and growing global B2C / B2B products and Marketplaces across multiple sectors.

He’s successfully serviced diverse clients in product management, business analysis, UX and consulting. Recent engagements have included the innovative use of data science & technology in dynamic marketplaces and developing a large-scale customer engagement platform.

He has previously held product leadership positions at Victor Limited and Collinson Group, developing customer loyalty solutions for well-known international brands.

Ruiao Hu
Research Resident

A computer scientist by trade and a mathematician at heart, Ruiao graduated from Imperial College London with an MEng degree in Joint Mathematics and Computer Science.

With industry experience in data engineering gained with world-leading finance firms, Ruiao has joined Cervest for the summer to construct data pipelines for a number of our upcoming projects.

Just as he joined Cervest, Ruiao achieved a first class MEng degree with the Governor’s Prize and Corporate Partnership Programme award for his final year project. After his time at Cervest he will pursue a PhD in stochastic geometric mechanics under the supervision of Prof Darryl Holm at Imperial College London.

James Walsh
Research Resident

James is a Statistical Scientist with a bachelor’s degree in the subject awarded from the Statistics department at the University of Warwick.

James joins Cervest as part of his work with the Warwick Manufacturing Group and The Alan Turing Institute where he is a Research Assistant developing Physically Informed Hybrid models.

He will be spending his time at Cervest applying this expertise to simulating individual crop growth and constructing bulk processing technologies for modelling organic carbon content for soil quality monitoring. He has also worked in the risk team of financial consultants at Albourne Partners building simulations.

Mike Zotov
Research Resident

Mike has recently graduated with a first class honours degree in Mathematics from the University of Warwick.

Having studied Machine Learning as part of his degree, he has joined Cervest for the summer to work on deep generative models for de-noising remote-sensing data.

After his time at Cervest he will continue to pursue his passion for Machine Learning with a Master’s degree at Imperial College London.

Anna Moses
Business Process Lead

Anna has broad experience helping organisations to define and operationalise their processes in order to achieve ambitious business objectives.

Anna has worked across the public, private, and charity sectors with a focus on organisational transformation through business analysis and behavioural science-focused change management, at organisations including the UK House of Commons, the Parliamentary Digital Service and leading US healthcare consultancy The Advisory Board Company.

Inspired by Cervest’s commitment to using technology for good, through both the delivery of game-changing products and an inclusive working environment, Anna is passionate about being part of the solution to the climate crisis.

She has a BA in Political Science and History from Wellesley College, Massachusetts, and also attended the Massachusetts Institute of Technology.

Michael Griffiths
Senior Engineer

Michael has been building software for over a decade as both a developer and analyst. He has worked and consulted in a broad spectrum of domains – including insurance, payments and e-commerce – for both early-stage startups and established companies. He is also a passionate open-source developer, being a co-maintainer of a number of developer tools for the Clojure programming language. Further, he has been a teacher for the ClojureBridge organisation, which provides free programming workshops for underrepresented groups in tech.

A dedicated environmentalist, having worked for the National Laboratory Service arm of the UK Environment Agency before entering the software industry, he joined Cervest in 2019 with a commitment to use his expertise to build flexible and scalable distributed software systems to help our world adapt to the growing climate crisis, while promoting sustainability and science-driven decision making.

Michael holds a B.Sc. in Theoretical Physics from University College London.