At a Glance
- Tasks: Lead research in machine learning and develop algorithms for real-world applications.
- Company: Fast-growing AI scale-up focused on innovative engineering solutions.
- Benefits: Competitive salary, 25 days holiday, private medical insurance, and stock options.
- Other info: Flexible hybrid work environment with excellent career growth opportunities.
- Why this job: Join a collaborative team making a real impact in AI and machine learning.
- Qualifications: PhD in a technical field and published research in machine learning.
The predicted salary is between 36000 - 60000 £ per year.
Research Scientist – Machine Learning
Cambridge / Hybrid (Flexible 1 day per week in the office)
You MUST have a PhD to apply. Open to recent graduates, through to experienced research leaders (Salary will match your level).
About the Company
We build data-efficient engineering AI software that helps teams make better design and performance optimisation decisions, faster. Our technology reduces simulation and testing requirements without compromising quality — accelerating development and enabling more sustainable engineering. Founded in 2016, the company is a fast-growing, well-funded AI scale-up that has received significant industry recognition.
The Opportunity
We’re looking for a Research Scientist to join a research-focused team working at the cutting edge of artificial intelligence and machine learning. You’ll be part of highly collaborative research groups developing algorithms that are both theoretically rigorous and scalable to real-world complexity. The team’s work directly impacts customer challenges and contributes to the wider ML community — with 75+ papers published and 10 patents filed in the last four years.
What You’ll Be Doing
- Develop and lead your own research programme in probabilistic modelling, Bayesian optimisation, and related fields.
- Collaborate with colleagues to meet research goals and communicate findings internally and externally.
- Contribute to product development and customer research projects, applying cutting-edge ML to real-world problems.
- Take an active role in developing and maintaining open-source libraries such as Trieste, GPflow, and GPflux.
What We’re Looking For
We welcome applications from recent PhD graduates through to experienced research leaders. Above all, we’re looking for collaborative researchers who enjoy solving complex problems together.
Essential:
- PhD in a technical field or equivalent experience.
- Published research in machine learning, statistics, or optimisation (conferences and/or journals).
Desirable:
- Experience in decision-making methods (Bayesian optimisation, bandits, reinforcement learning, active learning).
- Background in probabilistic modelling (Gaussian processes, Bayesian neural networks, variational inference, etc.).
- Strong numerical programming skills (Python, NumPy, TensorFlow, PyTorch).
- Interest in applying machine learning to real-world industrial challenges.
- A collaborative mindset, including reviewing code and research and providing constructive feedback.
- A passion for continuous learning and helping others grow.
Google Scholar - Please share your link with your CV/application.
What’s on Offer
- Competitive salary (reviewed annually).
- 25 days’ holiday plus bank holidays.
- Pension salary sacrifice scheme.
- Private medical insurance, dental cash plan & eyecare.
- Stock options (where applicable).
- Free 24/7 on-site gym.
- Social events, game nights and sports groups.
Apply Now or email me directly chris@socode.co.uk to learn more.
Scientist - Animal Sciences and Technology in Cambridge employer: SoCode Recruitment
As a fast-growing AI scale-up based in Cambridge, we offer a dynamic and collaborative work environment where innovation thrives. Our commitment to employee growth is evident through competitive salaries, generous holiday allowances, and comprehensive benefits including private medical insurance and stock options. Join us to be part of a team that not only pushes the boundaries of machine learning but also fosters a culture of continuous learning and community engagement.
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We think you need these skills to ace Scientist - Animal Sciences and Technology in Cambridge
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