Build the Models. Shape the Platform. Redefine What’s Possible.
We’re working with an early-stage deep tech company developing a next-generation analytical platform at the intersection of machine learning, mathematics, and experimental science.
They’re now hiring one of their first technical team members, a Machine Learning Research Engineer, to help design and develop the core ML-driven analysis engine that underpins the entire platform.
This is not a narrow modelling role. It’s an opportunity to help define the research direction, shape the technical foundations, and influence how the platform evolves from day one.
You’ll work closely with scientific leadership to translate complex experimental challenges into robust mathematical models and scalable software systems.
What You’ll Be Doing
- Designing novel algorithmic and machine learning approaches to interpret complex scientific data
- Developing mathematical models (including probabilistic / Bayesian methods)
- Building proof-of-concept tools and production-ready Python systems
- Managing and improving data pipelines from experimental instrumentation
- Continuously evaluating, refining, and stress-testing models
- Collaborating with scientists to solve emerging analytical challenges
This is a hands-on research-meets-engineering role with real ownership and technical depth.
What They’re Looking For...
Essential
- STEM degree (undergraduate or above)
- Strong Python software engineering skills
- Comfort working with mathematical modelling and statistical methods
- Intellectual curiosity and willingness to explore new approaches
Nice to Have
- Experience in machine learning (research or applied)
- Probabilistic modelling or Bayesian methods
- Exposure to scientific or experimental datasets
- Interest in biology, chemistry, physics, or drug discovery
Candidates at a range of levels will be considered, from exceptional recent graduates to PhD or industry-experienced researchers. The level of ownership and autonomy will reflect your experience.
Why This Role?
- Be one of the first technical hires in a high-ambition deep tech startup
- Genuine influence over architecture and research direction
- Direct collaboration with experienced scientific leadership
- Competitive salary aligned to experience
- Meaningful equity package
- Flexible / remote-friendly working
If you’re looking for a role where you can take responsibility, build from first principles, and apply machine learning to genuinely complex scientific problems, this could be your next move.
We’re committed to creating an inclusive environment where everyone feels valued and respected.
We welcome applications from people of all backgrounds, experiences, and perspectives. what matters most is your ability, curiosity, and drive to push technical boundaries.
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