Senior Applied AI Scientist

• Remote-first with flexible working hours, built on trust.
• Monthly team meetups at a London-based office (Highbury).
• Clear communication, fast iteration, and support over silos.
• A culture that thrives on ambiguity, feedback, and a growth mindset.

What You’ll Do

• Design, build, and scale machine learning models using environmental and observational data.
• Apply advanced causal inference techniques such as Bayesian Neural Networks, Gaussian Processes, Difference-in-Differences, and Synthetic Control methods.
• Leverage foundation models (e.g. Prithvi, Clay) and transformers to extract insights from complex datasets.
• Work cross-functionally with science, engineering, and product teams to embed models into real-world pipelines.
• Communicate scientific and technical concepts clearly to both technical and non-technical audiences.
• Stay current with the latest developments in AI and environmental science, integrating relevant innovations into production.
• Mentor junior team members and foster best practices in applied ML.

• Strong background in applied machine learning, bayesian statistics, and causal inference.
• Proficiency in Python and ML frameworks such as PyTorch.
• Experience with cloud infrastructure (e.g., AWS, GCP).
• A clear, concise communication style - clear examples given when asked, not word salad.
• An adaptive mindset and comfort working in fast-changing environments.
• A deep motivation to contribute to climate and ecological impact.
• An advanced degree (MSc or PhD) in Computer Science, Statistics, Economics, Physics, Mathematics, or a related field., * Experience working with geospatial or spatial-temporal data.
• Experience with remote sensing datasets (e.g., Landsat, Sentinel, SAR).
• Familiarity with TorchGeo or TerraTorch.
• Experience with Rasterio, Geopandas, Xarray, or Dask.
• Previous collaboration with academic or scientific research communities.
• Publications in peer-reviewed journals or conferences.

• Remote-first and flexible hours
• 32 days paid holiday (including bank holidays, fully flexible)
• Extra day off on your birthday
• Pension scheme
• Enhanced gender-neutral parental leave
• Spill mental wellbeing support
• Company laptop + home working setup allowance