Graduate Machine Learning Research Engineer

Capital One
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Python
Machine Learning
Software Engineering
Deep Learning
Data Pipelines

Job description

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 DoingDesigning novel algorithmic and machine learning approaches to interpret complex scientific dataDeveloping mathematical models (including probabilistic / Bayesian methods)Building proof-of-concept tools and

Requirements

production-ready Python systemsManaging and improving data pipelines from experimental instrumentationContinuously evaluating, refining, and stress-testing modelsCollaborating with scientists to solve emerging analytical challengesThis is a hands-on research-meets-engineering role with real ownership and technical depth.What They're Looking For...EssentialSTEM degree (undergraduate or above)Strong Python software engineering skillsComfort working with mathematical modelling and statistical methodsIntellectual curiosity and willingness to explore new approachesNice to HaveExperience in machine learning (research or applied)Probabilistic modelling or Bayesian methodsExposure to scientific or experimental datasetsInterest in biology, chemistry, physics, or drug discoveryCandidates 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 startupGenuine influence over architecture and research directionDirect collaboration with experienced scientific leadershipCompetitive salary aligned to experienceMeaningful equity packageFlexible / remote-friendly workingIf 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. Similar jobs, A leading online retailer in Greater London is seeking a Machine Learning Engineer to develop and deploy impactful machine learning solutions within a cross-functional team. The ideal candidate will have hands-on experience in deep learning, proficiency with modern ML...

About the company

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes..., About Viridien Viridien is an advanced technology, digital, and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive, and deep curiosity, we discover new insights, innovations, and solutions that...

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