51 to 75 of 270 Physics Jobs in the UK

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

develop transparent, steerable intelligence that can be validated under real-world constraints—latency, safety, sensor noise, and imperfect dynamics. Our approach blends controlled, physics-inspired methods with modern machine learning to create systems that are robust, debuggable, and deployable on real machines. Machine Autonomy Division Machine Autonomy is Vareon ...

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 ...

motivated, adaptable, and eager to learn across varied technical domains Recent 2:1 (or above) graduate in a STEM discipline (e.g., Computer Science, Engineering, Physics, Mathematics) Strong experience in at least one programming language (e.g., Python, Java, C++) Analytical mindset with strong problem-solving skills and attention to detail Desirable ...

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 ...

platforms Candidate Profile Early-career experience demonstrated through internships, placements, or academic projects (0–2 years) Bachelor's or Master's degree in Mathematics, Physics, Engineering, or a related discipline (graduating between December 2025 and June 2026) Strong programming capability in C++ and Python Solid foundations in data structures, algorithms ...

platforms Candidate Profile Early-career experience demonstrated through internships, placements, or academic projects (0–2 years) Bachelor’s or Master’s degree in Mathematics, Physics, Engineering, or a related discipline (graduating between December 2025 and June 2026) Strong programming capability in C++ and Python Solid foundations in data structures, algorithms ...