Science or Mathematics, or related field with focus on quantum computing Hands-on experience in quantum computing research or development Strong mathematical background in linear algebra, complex analysis, and probabilitytheory Background in experimental quantum physics or quantum device fabrication Familiarity with quantum error correction and noise mitigation techniques Strong publication record (particularly in quantum computing or related … fields) Proficiency in quantum programming languages and frameworks (Qiskit, Cirq, Q#, etc.) Deep understanding of quantum mechanics, quantum information theory, and quantum algorithms Experience of creating QNLP models for text analysis and semantic understanding Experience with classical programming languages (Python, C++, Julia) Knowledge of quantum hardware platforms and their characteristics Experience with quantum machine learning or quantum optimization Knowledge More ❯
PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Mathematics skills to support the above: calculus, probabilitytheory and linear algebra. Desirable Experience in one or more of: distributed computing, efficient computing based on low-precision arithmetic, deep learning models including large generative models for More ❯
record of delivering data-driven insights that influenced business decisions. Technical Skills : Proficiency in SQL, Python, R, or similar tools for data analysis and visualization. Understanding of descriptive statistics, probabilitytheory, and statistical testing. Experience with data modeling techniques and experiment design. Familiarity with big data challenges and performance optimization. Ability to write intermediate SQL queries and build More ❯
in real-world environments. - Strong understanding of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. - Solid grounding in statistics, probabilitytheory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions PREFERRED QUALIFICATIONS - History of successful technical consulting and/or architecture More ❯
in real-world environments. - Strong understanding of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. - Solid grounding in statistics, probabilitytheory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions PREFERRED QUALIFICATIONS - History of successful technical consulting and/or architecture More ❯
