• Locations
    • United Kingdom
    • London
  • Date Posted
  • Dec. 26, 2021
  • Function
  • Data Science
  • Sector
  • Data

In less than a year, Sylvera has built partnerships with the world-leading carbon exchanges, first-class academic institutions, secured investment from Europe’s top VC fund, and built an extraordinary team.

Sylvera is bringing transparency to the opaque voluntary carbon markets by using satellite data and machine learning algorithms to accurately assess the impact of carbon offset projects. This transparency will catalyse exponential growth in a market which is critical to addressing climate change.

What will I be doing?

Having found early product-market fit in a nascent, rapidly growing space, we’re now scaling our Machine Learning and Data Engineer teams at pace. We’re looking for a mission-driven Geospatial Data Engineer to join our cross functional machine learning team to bring automation in our data processing pipeline and scale up our ML solutions.

Specific responsibilities will include:

  • Youʼll contribute to the design and development of geospatial data pipelines and the infrastructure to deliver services to both internal and external consumers of data
  • You’ll scale up and optimise existing ML lifecycle processes (on both cloud & local GPU machines)
  • You’ll contribute to internal ML tooling that is critical for us to scale
  • Those who are successful will progress quickly, either as individual contributors or following a management path.

We’re looking for someone who:

  • Cares deeply about the climate and ecosystems of earth
  • Is a self-starter who thrives in constantly evolving environments, ideally with early-stage start-up experience
  • 2+ years of experience processing geospatial data with Python
  • Is familiar with Python libraries e.g. xarray, geopandas, numpy, pandas, sklearn, pytorch
  • Has experience with Docker as a deployment mechanism
  • Has experience with CI/CD tools (preferably CircleCI)
  • Has experience with cloud infrastructure (preferably AWS)

Nice to have:

  • Being familiar with Machine Learning concepts
  • SQL skills
  • Experience with Airflow


  • Equity in a rapidly growing startup
  • Tech needed to do your job
  • 25 days holiday + your birthday off
  • Unlimited annual leave
  • Enhanced Mat/Pat leave
  • Monthly Team Lunches
  • Company pension
  • Up to 20 days paid sick leave
  • £500 (gross) WFH allowance
  • Access to Mental Health support
  • Monthly team social budget.


  • Remote GMT +/-3 (with access to an office in London if you wanted to come in)
  • What if you’re a partial fit?

We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn’t exactly match this job description.

Equal employment opportunity

Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.