26 to 50 of 270 Physics Jobs in the UK

live systems through proactive monitoring. Provide occasional on-call support to maintain system uptime and stability. 🎓 Qualifications Required: Degree in Computer Science, Engineering, Mathematics, Physics, or similar. 10+ years of hands-on development experience in C#/.NET . Solid grasp of financial instruments (equities, derivatives, fixed income, FX, commodities ...

data or structured data) Effective algorithm design and implementations, and importance of verification and validation An understanding of foundational concepts in mathematics and physics that apply to underwater acoustic systems Conduct high level of systems analysis with supporting application of science and mathematics Scientific and numerical programming and scripting languages ...

live systems through proactive monitoring. Provide occasional on-call support to maintain system uptime and stability. Qualifications Required: Degree in Computer Science, Engineering, Mathematics, Physics, or similar. 10+ years of hands-on development experience in C#/.NET. Solid grasp of financial instruments (equities, derivatives, fixed income, FX, commodities). ...

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 ...

/Computer Science/research/science/post-doc/post-doctorate/Ph.D./Mathematics/Natural Sciences/Engineering/Physics/Astrophysics/Trainee/Entry Level/Junior/Start ...

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 ...