At a Glance
- Tasks: Lead the development of ML-driven solutions for climate and biodiversity action.
- Company: Join a remote-first startup focused on nature-based solutions and environmental impact.
- Benefits: Enjoy flexible hours, 32 days paid holiday, and mental wellbeing support.
- Other info: Monthly team meetups in London and opportunities to mentor junior members.
- Why this job: Make a real-world impact while working in a supportive, growth-oriented culture.
- Qualifications: Strong background in applied machine learning and an advanced degree in a relevant field.
The predicted salary is between 36000 - 60000 £ per year.
Direct message the job poster from DeepRec.ai
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
Seniority level
- Not Applicable
Employment type
- Full-time
Job function
- Science
- Industries
- Research Services
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Senior Applied AI Scientist in London employer: DeepRec.ai
At DeepRec.ai, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through our focus on cutting-edge AI technologies and the opportunity to lead transformative projects that have a real impact on the future of science. With competitive compensation, a supportive environment, and the chance to work alongside industry leaders, we provide a unique platform for engineers passionate about making a difference in the world of AI.
StudySmarter Expert Advice🤫
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We think you need these skills to ace Senior Applied AI Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
