26 to 32 of 32 Complexity Analysis Jobs in England

sophisticated AI software and hardware systems, setting new standards in the industry. Desirable Technical Background NPU Chip architecture Software-Hardware co-design, workload analysis/slicing Proficiency across AI sub-fields, including application algorithms, frameworks, runtime, modelling, simulation and compilers. Track record of transforming academic research into commercial More ❯

sophisticated AI software and hardware systems, setting new standards in the industry. Desirable Technical Background NPU Chip architecture Software-Hardware co-design, workload analysis/slicing Proficiency across AI sub-fields, including application algorithms, frameworks, runtime, modelling, simulation and compilers. Track record of transforming academic research into commercial More ❯

in dashboards to provide a cohesive, first-class data visualization experience. Build and optimize innovative solutions that support advanced, modular verification strategies, data analysis, ML-based systems, and workflows. Perform independent execution and completion of tasks by taking full ownership and showing strong attention to detail that leads … Bachelor's Degree in Computer Science, Math, Physics, Engineering, or related quantitative field. Minimum of 2+ years of Python developer proficiency with quantitative analysis experience with packages such as numpy, pandas, scipy, scikitlearn, matplotlib, etc. Proficiency in Linux environment (including shell scripting). 1+ years of experience with … . Experience and/or technical depth in at least one data science-related field such as Machine Learning, Artificial Intelligence, Statistical & Data Analysis, Computational Algorithms, Data Engineering, etc. Experience working with a variety of complex, large datasets. Experience building automated pipelines (e.g., Jenkins, Airflow, etc.). Experience More ❯

critical thinking, collaborative skills and technical initiative Software design skills for elegant, high performance, easy to maintain code Extensive knowledge of data structures, algorithms, complexity and concurrency Strong C++ language knowledge and coding skills Relevant technical knowledge: Concurrency (multithreading, synchronisation and alternatives, parallel hardware) CPU architecture (CPI, dynamic execution … caching levels, cache misses, pipeline stalls) Data structures (linear, tree, hash and graph), algorithm selection and complexity (big O) Networking (standard packet protocols, performance in particular contexts) Linux development (user and/or kernel space) and scripting languages (bash, Python) Git, Agile techniques, CI/CD plus TDD or More ❯

current software tools to evaluate performance of biometric algorithms Investigating and resolving underlying issues based on testing Contributing to improvements to the face analysis algorithms Ensuring that code added to the pipeline/common Git repositories is of the required standard and is well documented/commented so … help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world’s leading companies. By being true to our values of Innovation, Collaboration More ❯

current software tools to evaluate performance of biometric algorithms Investigating and resolving underlying issues based on testing Contributing to improvements to the face analysis algorithms Ensuring that code added to the pipeline/common Git repositories is of the required standard and is well documented/commented so … help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration More ❯

to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug … experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of … clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations. More ❯