26 to 50 of 217 Physics Jobs in the UK

FCAS/Tempest. What we're looking for from you: Degree qualification or equivalent experience in a subject with mathematical content (e.g. Aerospace Engineering, Control Engineering, Mechanical Engineering, Mathematics, Physics, Computer Science) Relevant Post-Doctoral or Industrial experience is a strong advantage Domain knowledge such as Flight Dynamics, Aerodynamics, Sensors, Servo Systems, Actuators, Autonomous Systems, Robotics, or Mechatronics Algorithms knowledge More ❯

a wide range of other benefits including retail discounts and share purchase schemes. What we're looking for from you Working towards a degree in Computer Science, Engineering, Mathematics, Physics or related STEM discipline. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud More ❯

capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python. Spark and SQL Experience implementing and validating a range of machine learning and optimization techniques Effective scientific communication More ❯

and external stakeholders and work with the SeeByte CTO and other research staff to shape SeeBytes research strategy. Key Skills, Experience and Qualifications A strong academic background in mathematics, physics, engineering, or a related field (e.g., BSc/MSc/PhD). Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques. Experience with algorithm development, numerical methods More ❯

and external stakeholders and work with the SeeByte CTO and other research staff to shape SeeBytes research strategy. Key Skills, Experience and Qualifications A strong academic background in mathematics, physics, engineering, or a related field (e.g., BSc/MSc/PhD). Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques. Experience with algorithm development, numerical methods More ❯

and external stakeholders and work with the SeeByte CTO and other research staff to shape SeeBytes research strategy. Key Skills, Experience and Qualifications A strong academic background in mathematics, physics, engineering, or a related field (e.g., BSc/MSc/PhD). Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques. Experience with algorithm development, numerical methods More ❯

and external stakeholders and work with the SeeByte CTO and other research staff to shape SeeBytes research strategy. Key Skills, Experience and Qualifications A strong academic background in mathematics, physics, engineering, or a related field (e.g., BSc/MSc/PhD). Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques. Experience with algorithm development, numerical methods More ❯

and external stakeholders and work with the SeeByte CTO and other research staff to shape SeeBytes research strategy. Key Skills, Experience and Qualifications A strong academic background in mathematics, physics, engineering, or a related field (e.g., BSc/MSc/PhD). Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques. Experience with algorithm development, numerical methods More ❯

approaches to transform our core Hit Identification, Hit to Lead and Lead Optimisation processes by translating insights from drug designers and collaborating with domain experts in AI, Informatics, and Physics-based Modelling to build novel workflows. Develop and maintain the core cheminformatics capabilities and libraries routinely used by our drug designers. Collaborate with AI Research Engineers to enhance our generative More ❯

is required. A 1st or 2.1 Bachelors/Masters Degree in a STEM subject from a leading University as well as A’s at A level in Mathematics and Physics are required, with a PhD being highly beneficial. The successful Senior Software Engineer will ideally bring a range of software development skills and experience, including strong C/C++ development More ❯

During market - sporadically monitoring behaviour and performance of strategies. Ideal Candidate: Quantitative background - including Master/PhD's in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Programming proficiency with at least one major programming or scripting language (Python, C++, and R). Strong communication skills and ability to work well with colleagues More ❯

documented, and performs efficiently. Contribute to continuous improvement and innovation in quantitative models and portfolio management systems. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets More ❯

documented, and performs efficiently. Contribute to continuous improvement and innovation in quantitative models and portfolio management systems. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets More ❯

highest standards of analysis and reporting to key external groups What are we looking for? Minimum 2:1 within a numeric based degree i.e., Maths, Computer science, Economics, Business, Physics etc. Proficient in use of Microsoft Office product suite, particularly Excel i.e., Pivot Tables and V-Lookups Working knowledge of one or more of the following is advantageous: SQL, R More ❯

in new product introductions and propose solutions. Stay current on systems engineering trends and implement improvements. Conduct customer and supplier visits as needed. Qualifications & Experience: Degree in Systems Engineering, Physics, or Electronics. Experience in systems engineering, preferably in defence or homeland security. Electronic design experience is a plus. Skills: Strong communication and systems analysis skills (MATLAB, Python, C#). Solid More ❯

engineered scalable software solutions, the challenge is how to best utilise AI/ML into these software products. Requirements: Strong academic background, minimally a Master's in computer science, physics, engineering or similar, and ideally a PhD in a relevant subject area. Demonstrable experience developing desktop and web applications including production-grade software. This should include experience with software architecture More ❯

strategy research cycle from signal generation to implementation Your present skillset ? Min 4 years of relevant experience ? Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering ? Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus ? Capacity to multi-task in a fast paced environment while keeping strong attention to detail More ❯

features and versions of their real-time modelling software tools. Requirements: - Strong academic background – many within the team have PhDs and minimally have a Master’s in computer science, physics, engineering, maths or similar. - Demonstrable programming experience in C++ (and ideally C or Fortran). - Further experience with C# (including WinForms, WPF, QML Frameworks) would be desirable. - Strong numeracy and More ❯

engineered scalable software solutions, the challenge is how to best utilise AI/ML into these software products. Requirements: - Strong academic background, minimally a Master’s in computer science, physics, engineering or similar, and ideally a PhD in a relevant subject area.- - Demonstrable experience developing desktop and web applications including production-grade software. This should include experience with software architecture More ❯

model validation, or quant analysis within financial markets, clearing, post-trade, or banking (middle office, treasury, or product control) Degree (ideally MSc/PhD) in a quantitative subject: Mathematics, Physics, Engineering, Computer Science, Finance, or similar Strong analytical skills, attention to detail and comfort with risk models or statistical techniques Excellent written and verbal communication, with proven ability to draft More ❯

analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

JavaScript, etc) and Linux systems Strong academic background including a 1st or 2:1 or PhD in a numerate subject and A s or A s in Maths and Physics at A Level Strong communication skills both for client work and for mentoring and leading team members British citizenship and UK residency for at least 10 years Due to the More ❯

deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an More ❯

deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an More ❯

current trends in the software development field and M-RAS and proactively explore their implementation within the company Qualifications, skills and experience: A degree in Software Engineering, Computer Science, Physics or Maths with a grade of at least a 2:1 or an equivalent qualification and experience. Proven experience in relevant industry that will complement and enhance RAS development Experience More ❯