Are you a passionate Machine Learning Researcher looking to advance the field of AI?
We are working with a pioneering organisation at the forefront of artificial intelligence and machine learning. Due to continued growth, they are looking for a Machine Learning Researcher to join their team, working on cutting-edge research in probabilistic modelling and Bayesian optimisation.
About the Role
This is an exciting opportunity to join a highly collaborative research team developing innovative algorithms that push the boundaries of machine learning. The role involves conducting research that is both theoretically rigorous and scalable to real-world applications, with the opportunity to publish in leading machine learning conferences.
In addition to independent research, you will contribute to internal product development, customer projects, and open-source initiatives such as Trieste, GPflow, and GPflux.
Key Responsibilities
- Develop and lead a research programme focused on probabilistic modelling, Bayesian optimisation, and related fields
- Collaborate with the team to achieve research goals and publish findings internally and externally
- Support product development by applying cutting-edge research to real-world challenges
- Contribute to open-source machine learning libraries and actively engage with the research community
What We’re Looking For
Essential Skills & Experience:
- A PhD in a technical field or equivalent experience, with published research in machine learning, statistics, or optimisation conferences and journals
Desirable Skills & Experience:
- Background in decision-making fields such as Bayesian optimisation, bandits, reinforcement learning, or active learning
- Experience in probabilistic modelling methods such as Gaussian processes, Bayesian neural networks, or variational inference
- Strong proficiency in numerical programming (Python/NumPy/TensorFlow/PyTorch)
- Interest in applying machine learning to real-world problems relevant to the organisation’s customers
- Ability to collaborate, review documents and code, and provide constructive feedback
- Passion for continuous learning and development in machine learning research
What’s on Offer?
This role offers an inclusive and innovative working environment that fosters creativity, collaboration, and continuous learning.
Benefits include:
- Competitive salary, reviewed annually
- 25 days annual leave plus bank holidays
- Contributory salary sacrifice pension scheme
- Hybrid working approach within the UK
- Stock options scheme (where applicable)
- Private medical insurance
- Dental cash plan
- Salary sacrifice electric bike-to-work scheme
- Subsidised gym memberships
- Cambridge Botanic Garden membership
- Social events, away days, game nights, and sports groups
This organisation is committed to equal opportunities and encourages applications from diverse backgrounds. If you require adjustments or support during the interview process due to a disability, please get in touch.
Interested? Contact Jack Baxter at jb@skillsearch.com for more information or apply now.
Years of experience and salary levels are shown purely as a guide. We will only consider applications from candidates that can demonstrate the skills or experience required for the role.
Please be aware that while we would love to respond to every application we receive, due to high numbers we cannot guarantee this. We do however appreciate any time you invest into the application and will make sure to get in touch should anything in future more closely fit your skillset.
