Mathematics Jobs in Edinburgh

4 of 4 Mathematics Jobs in Edinburgh

Industrial Placement Software Engineer

edinburgh, central scotland, united kingdom
Hybrid/Remote Options
Leonardo SpA
the wider team Skills, Qualifications and Knowledge Required: All of our Placement roles require that you are working towards a relevant degree discipline e.g. Software Engineering, Computer Science, Physics, Mathematics or Electronic Engineering (BSc (Hon)/BEng (Hon)/MEng). We would like to hear from you if you have a combination of the following: Experience of computer programming More ❯
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Software Graduate Apprentice

edinburgh, central scotland, united kingdom
Hybrid/Remote Options
Leonardo SpA
times. We view commitment to the programme and learning objectives very highly. Qualifications: You must have (as a minimum) the following qualifications: 5 Higher Grades (or equivalent): BBBBC Mandatory: Mathematics Preferably including Physics and Computing AND National 5: (A-C) in English (or equivalent qualifications to Highers/Standard Grades). Note : This Apprenticeship assumes the candidate has very little More ❯
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Programming Languages Research Engineer

Edinburgh, Scotland, United Kingdom
European Tech Recruit
We're looking for multiple engineers to join the Programming Languages team at a leading R&D global institute to conduct original research, lead technology transfer, and contribute to engineering efforts in programming languages at the Edinburgh Research Centre. The More ❯
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Physicist

Edinburgh, UK
Hybrid/Remote Options
Huberta
something new from the ground up. We need a physicist who can turn theoretical insights into production systems. We need people who understand the theory and formulate the underlying mathematics before any code is written. The Role You'll be developing core components of our AI model, engaging in hands-on work at the intersection of physics, mathematics, and ML … accepted. Core Technical Areas: Physics: Quantum Mechanics (Must have) Multi-Dimensional Tensor Networks (Must have) Theoretical physics and statistical physics Dynamic systems (energy landscapes, emergent behaviours) Modelling and simulation Mathematics: Advanced linear algebra, optimisation, numerical methods Information theory Probability, statistics Graph theory Highly Valued: Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning More ❯
Employment Type: Full-time
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