Senior Applied AI Scientist | Remote-First Climate ML Lead

DeepRec.ai; London; Remote; GBP 60,000 - 80,000; Full time

Benefits offered by this job

32 days paid holiday

Extra day off on your birthday

Pension scheme

Enhanced gender-neutral parental leave

Mental wellbeing support

Company laptop + home working setup allowance

Job summary

A nature-based solutions startup is seeking a Senior Applied AI Scientist to lead the development of ML solutions addressing climate and biodiversity challenges. The ideal candidate has a strong background in applied machine learning and a passion for environmental impact. This remote-first role offers flexible working and generous benefits, including 32 days of paid holiday and a supportive culture.

Qualifications

• 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).
• Advanced degree (MSc or PhD) in a related field.

Responsibilities

• Design, build, and scale machine learning models using environmental and observational data.
• Apply advanced causal inference techniques such as Bayesian Neural Networks.
• Work cross-functionally with science, engineering, and product teams.
• Mentor junior team members and foster best practices in applied ML.

Skills

Applied machine learning

Bayesian statistics

Causal inference

Python

ML frameworks (e.g., PyTorch)

Cloud infrastructure (e.g., AWS)

Clear communication

Adaptive mindset

Education

MSc or PhD in Computer Science, Statistics, Economics, Physics, Mathematics

Tools

AWS

GCP

TorchGeo

Rasterio

Geopandas

Xarray

Dask

Job description

A nature-based solutions startup is seeking a Senior Applied AI Scientist to lead the development of ML solutions addressing climate and biodiversity challenges. The ideal candidate has a strong background in applied machine learning and a passion for environmental impact. This remote-first role offers flexible working and generous benefits, including 32 days of paid holiday and a supportive culture.