At a Glance
- Tasks: Lead innovative machine learning projects tackling climate challenges using satellite data.
- Company: Exciting start-up focused on AI solutions for environmental issues.
- Benefits: Salary up to £75k, equity options, and flexible remote work.
- Other info: Beautiful Cotswolds location with excellent career growth opportunities.
- Why this job: Make a real-world impact while shaping the future of AI in geoscience.
- Qualifications: PhD in Machine Learning or related field with strong Python skills.
The predicted salary is between 75000 - 75000 £ 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
Client Server is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With competitive salaries, comprehensive benefits including life assurance and a wellness package, and the flexibility to work from home, employees are empowered to thrive both personally and professionally. Join a highly profitable Hedge Fund where your skills will be valued, and you will have ample opportunities for career progression in a senior role.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher - Geoscience in Cirencester
✨Dive into Geoscience Communities
Join local and online geoscience communities and forums. Places like the Geological Society of London often have events where you can network with professionals in the field. Engaging in discussions or attending workshops can really get you noticed!
✨Show Off Your Fieldwork Skills
If you've got hands-on experience from university projects or internships, make sure to highlight that. Employers in geoscience love practical skills. Consider creating a portfolio showcasing your fieldwork or any research projects you’ve been a part of.
✨Utilise Research Publications
Stay up to date with the latest research in geosciences by diving into journals or attending conferences. Not only will this make you more knowledgeable, but it can also provide talking points in interviews and even lead to job opportunities through academic connections.
✨Apply Directly on Our Website!
When you find a role like Machine Learning Researcher - Geoscience at Client Server, apply directly on our website! Tailor your application to highlight your specific skills and experiences in geoscience. Remember, being specific can really set you apart!
We think you need these skills to ace Machine Learning Researcher - Geoscience in Cirencester
Some tips for your application 🫡
Show Off Your Skills in Geoscience:When you're drafting your CV, make sure to highlight specific geoscience skills and experiences. Whether it’s fieldwork, data analysis, or modelling software you’ve used, these details can set you apart. We love to see practical experience, so don't shy away from discussing any projects or research that relate directly to the earth sciences!
Tailor Your Cover Letter to Shine:Your cover letter for a full-time geoscience position should scream passion for the field! Let us know why you're excited about working at Client Server and how your skills align with what we're looking for. Mention any relevant coursework, internships, or projects that showcase your journey in geoscience.
Certifications Matter!:In the geoscience sector, having relevant certifications can give your application an extra edge. If you have any geological or environmental certifications, or even training in software like GIS, make sure to list them prominently. It not only highlights your commitment but also shows that you're equipped with the knowledge required for the role.
Detailed Project Portfolio:For a full-time role, it's super helpful to include a project portfolio if you've worked on significant geoscience projects. This could include research papers, fieldwork summaries, or even visual data representations. We love seeing how you've applied your skills in real-world situations, so make it easy for us to see your achievements!
How to prepare for a job interview at Client Server
✨Show Your Technical Prowess
In geoscience, you'll likely face some technical questions related to geology, geophysics, or GIS tools. Brush up on the fundamental concepts and be prepared to talk about any software you’ve used, like ArcGIS or MATLAB, and how you applied them in your previous projects or studies.
✨Bring Your Field Experience to the Table
If you've had any fieldwork or practical experience, make sure to highlight those experiences during your interview. Talk about specific projects where you collected data, conducted analyses, or made observations. This not only shows your hands-on skills but also demonstrates your commitment to the field.
✨Passion for Our Planet
As a full-time candidate, showing genuine enthusiasm for geoscience can set you apart. Think about what excites you most in this field, whether it's climate change, natural resources, or environmental conservation. Be ready to discuss what draws you to Client Server and how you can contribute to their ongoing projects.
✨Stay Curious and Ask Insightful Questions
Prepare some questions that reflect your keen interest in ongoing research or specific projects at Client Server. This stays in line with the collaborative nature of geoscience; it shows that you’re not just looking for a job but are genuinely interested in being part of a team that explores and solves real-world problems.
