R&D · Fathom Bristol - UK · Hybrid
Machine Learning Engineer
Machine Learning Engineer
Location: Commutable distance for either Bristol or London offices
Salary: competitive salary and excellent benefits.
Fathom is a leading water intelligence company leveraging cutting-edge machine learning to transform how we understand and manage water systems. We develop ML approaches such as diffusion, pixelwise regression, sensor fusion and GNNs to create DEMs, regionalise our data, predict riverflow and downscale climate data. As we expand our in-house ML capabilities, we're looking for a talented and enthusiastic Machine Learning Engineer to join our growing team.
This is a unique opportunity to work across diverse and impactful projects, collaborating closely with domain experts to build robust, data-driven solutions from the ground up. We are committed to developing novel methods, implementing state-of-the-art research, and contributing to the scientific community through peer-reviewed publications. We don't just prompt-engineer or build brittle agents; we focus on crafting rich datasets and training models from scratch, deeply integrating with our scientific understanding.
What you'll do:
* Implement and develop machine learning models: Work on a variety of projects, translating research papers into practical ML solutions or building and developing models from first principles.
* Contribute to diverse projects: Get involved in areas such as computer vision for DEMs, diffusion models for climate downscaling, and neural networks for hydrological predictions.
* Collaborate with domain experts: Partner with our scientists and hydrologists to understand complex problems and develop effective ML solutions.
* Work with spatial data: Utilize and process various geospatial data types, contributing to our advanced spatial analytics.
* Support MLOps and infrastructure: Aid in the maintenance and deployment of ML models, ensuring robust and scalable solutions.
* Promote best practices: Help foster a culture of industry-standard coding practices, including effective use of Git/GitHub and project management tools like ClickUp.
We're looking for someone with:
* A strong foundation in machine learning principles and techniques.
* Candidates with 1-2 year industry experience and ideally a relevant PhD
* Proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).
* Experience or a keen interest in working with spatial data types and geospatial libraries (e.g. geopandas, xarray).
* A pragmatic approach to numerical problem-solving, ideally demonstrated through academic or project work.
* Familiarity with software development best practices, including version control (Git/GitHub).
* Experience with or a willingness to learn project management tools (e.g., ClickUp).
* Excellent problem-solving skills and a proactive, inquisitive mindset.
* Strong communication skills and the ability to work effectively in a collaborative environment.
Bonus points if you have:
* A background in physics, mathematics, or a related quantitative field.
* Experience with large-scale datasets and distributed computing.
* An understanding of hydrological processes or climate science.
* A portfolio of personal ML projects or open-source contributions.
Join Fathom and help us unlock the power of water intelligence through cutting-edge machine learning. If you're passionate about applying ML to real-world environmental challenges and eager to grow your skills in a dynamic, research-driven environment, we'd love to hear from you.
Department
R&D
Locations
Fathom Bristol - UK
Remote status
Hybrid
Employment type
Full-time
Location of work
Hybrid (some office days preferred)
Contact Nicola Nicol Head of People – People
Colleagues
Nans Addor
Senior Hydrologist
Dr Chris Lucas
Principal Machine Learning Engineer
Current job openings
* Senior Software Developer (Python)
R&D · Fathom Bristol - UK · Hybrid
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We offer some great benefits to support our team!
Private medical insurance - Group life assurance
Group income protection
Health cash plan
Dental insurance
Enhanced family policies
Pension contributions matched up to 10%
28 days + bank holidays
Subsidised gym memberships
Access to mental health cover and support
Cycle to work scheme
Personal training & development
About Fathom
Founded in 2013, Fathom gives risk management professionals the most scientifically robust tools and intelligence to understand the climate's impact on water risk.
By publishing cutting-edge peer-reviewed academic research and applying it to real-world challenges, Fathom powers better decision-making for (re)insurance, civil engineering, corporate risk, financial markets, disaster response and government.
Fathom's dedicated team of scientists harness their passion for innovation and the environment to develop rigorous catastrophe models and comprehensive mapping and geospatial data that make a real-world difference to customers and communities worldwide.
From 2023, Fathom is a part of Swiss Re, one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient.
Founded in 2012
Co-workers 57
R&D · Fathom Bristol - UK · Hybrid
Machine Learning Engineer
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