1 to 25 of 148 Physics Jobs in the UK excluding London

demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A background More ❯

to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential.This is an office-based role and as well as very competitive salaries, our client offers an More ❯

up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience with programming languages such as Python, C++, or similar Strong problem More ❯

up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience with programming languages such as Python, C++, or similar Strong problem More ❯

engineering, they transform research into real-world capabilities that make a tangible impact. The Candidate: The successful candidate will be degree-qualified in a STEM discipline (eg Computing, Electronics, Physics) or possess equivalent experience. You will bring hands-on Embedded software development skills, ideally in C, C++ or Rust, and have experience working with microcontrollers, DSP, and Real Time operating More ❯

ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology More ❯

ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology More ❯

ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology More ❯

experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯