At a Glance
- Tasks: Lead innovative AI projects tackling climate challenges using machine learning and physics.
- Company: Exciting start-up focused on transforming environmental data into actionable insights.
- Benefits: Competitive salary, equity options, flexible remote work, and career growth opportunities.
- Other info: Work in a stunning Cotswolds location with a collaborative team and excellent facilities.
- Why this job: Make a real-world impact on climate and infrastructure while shaping the future of AI research.
- Qualifications: PhD in Machine Learning or related field with strong Python skills and research experience.
The predicted salary is between 60000 - 80000 £ per year.
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.
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 discipline.
- You 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 assimilation.
- You have experience of developing ML models for remote sensing, Earth observation, geospatial data or other scientific datasets.
- You have strong Python software engineering skills with a focus on reproducible, production quality research.
- You have experience with uncertainty quantification, model validation and explainable AI.
- You're comfortable leading technical direction, working autonomously and mentoring others.
- Experience 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 £75k
- Equity
- 3 days work from home per week
- Impactful role with great career progression as the company scales
Machine Learning Researcher - Geoscience in Cirencester employer: Client Server Ltd.
Client Server Ltd. is an excellent employer, offering a dynamic and collaborative work culture in the heart of London. With a focus on employee growth, the company provides ample opportunities for career progression and competitive compensation packages, including bonuses. Joining our team means being part of an innovative environment where your contributions to designing and optimising data platform components will be valued and impactful.
