Senior Applied AI Scientist
12 hours ago
London
Senior Applied AI Scientist Location: UK-based, remote-first (with monthly optional meetups in London) Start date: ASAP Eligibility: Must have the right to work in the UK Overview DeepRec.ai has the pleasure of partnering with a remote-first NbS startup as they look to hire a Senior Applied AI Scientist to lead the development of ML-driven solutions that scientifically quantify the real-world impact of nature-based interventions. You'll join a multidisciplinary team of AI scientists, engineers, and environmental experts tackling one of the biggest challenges of our time: building trusted, scalable tools for climate and biodiversity action. The Culture • Shared purpose, no ego., • 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.What You Bring, • 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.Nice to Have, • 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.Benefits, • 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