Machine Learning Researcher – Geoscience

NLP PEOPLE; Cirencester; On-site; GBP 65,000 - 75,000; Full time

Benefits offered by this job

Salary to £75k

Equity

Hybrid work

Job summary

Client Server in the UK is seeking a PhD-level Machine Learning Researcher to apply research to environmental challenges. You’ll lead the intersection of physics and AI and work with satellite imagery and geospatial data to deliver trusted insights.

You’ll design production-ready ML models, collaborate with the Science Lead, and mentor others while shaping the research agenda from day one. Hybrid work in the UK is available.

Qualifications

• PhD or equivalent in ML, Physics, Geophysics, Applied Mathematics, Computational Science or related field.
• Strong research background at the intersection of machine learning and physical modelling.
• Experience developing ML models for remote sensing or geospatial data.
• Strong Python software engineering skills for reproducible, production-quality research.
• Experience with uncertainty quantification and explainable AI.
• Ability to lead technically, work autonomously and mentor others.
• Knowledge of cryosphere/climate topics is advantageous but not essential.

Responsibilities

• Define the company’s scientific direction at the intersection of physics and AI.
• Design and deploy production-ready ML models for geospatial data.
• Collaborate with the Science Lead and mentor others in the team.
• Shape the research agenda and influence future scientific hires.
• Validate models against real-world observations and ensure explainability.

Skills

Python programming

ML research

Geospatial data

Leadership

Explainable AI

Education

PhD or equivalent

Tools

Xarray

Dask

Zarr

STAC

Job description

Machine Learning Researcher (PhD Python AI) nr. Cirencester to £75k

Are you a PhD educated Machine Learning Research Scientist looking to apply your research to one of the world’s most important environmental challenges?

You could be progressing your career at a well funded start-up developing an AI powered intelligence platform that transforms satellite imagery and scientific data into actionable insights about the Arctic. Combining cutting edge machine learning with physics based modelling, the team is tackling problems with real-world impact on climate, infrastructure and global decision-making (please note this is used for Defence clients as well as environmental).

Your role:

As the first senior Machine Learning Research Scientist, you’ll play a pivotal role in defining the company’s scientific direction, leading the intersection of physics and AI.

Collaborating with the Science Lead, you’ll design and deploy production ready machine learning models that transform complex geospatial and remote sensing data into trusted, explainable insights. Rather than relying on black-box AI, you’ll develop physics informed models that are transparent, scientifically rigorous and validated against real world observations.

This is a rare opportunity to shape the research agenda from day one, influence future scientific hires and see your work deployed into production rather than remaining in academic papers.

Location:

You’ll be based in a beautiful Cotswolds (near Cirencester) office, with stunning views and a range of facilities including free parking onsite (not commutable on public transport) two days a week with flexibility to work from home the other three days.

About You

You have achieved a PhD (or equivalent research experience) in Machine Learning, Physics, Geophysics, Applied Mathematics, Computational Science or a related disciplineYou have a strong research background at the intersection of machine learning and physical modelling, such as physics informed AI, surrogate models, neural operators, differentiable simulation or data assimilationYou have experience of developing ML models for remote sensing, Earth observation, geospatial data or other scientific datasetsYou have strong Python software engineering skills with a focus on reproducible, production quality researchYou have experience with uncertainty quantification, model validation and explainable AIYou’re comfortable leading technical direction, working autonomously and mentoring othersExperience with cryosphere science, climate modelling, glaciology, atmospheric science or the Pangeo ecosystem (Xarray, Dask, Zarr, STAC) would be highly advantageous but isn’t essential.

What’s in it for You?

Salary to £75kEquityX3 days work from home per weekImpactful role with great career progression as the company scales

Company:

Client Server

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)