20 of 20 Complexity Analysis Jobs in London

of operating Windows, Linux or other UNIX variants in a datacenter environment or AWS cloud. Computer Science fundamentals in data structures, problem solving and complexity analysis Strong system troubleshooting skills and able to deal with ambiguity and drive, design, and implement large scale system/software solutions. More ❯

responsible for shipping a suite of products that can be used to help secure customer codebases. The technology involves static and dynamic program analysis and their combination, used to find, as well as prevent, threats and to understand risk, and serves personnel ranging from developers to security engineers … view of security. We are looking for candidates to work on both the underlying analyses and on the platform for deploying them. The Analysis roles involve Programming Language technologies, such as build systems, compilers, formal methods, or static or dynamic program analysis. The Platform roles involve a mixture … design reviews. Minimum Qualification BSc in Computer Science or related academic or industrial experience. Computer Science Fundamentals: Practical algorithms and data structures; Big-O complexity analysis; OS/Unix concepts, tools, and techniques; parallel and concurrent programming. Preferred Qualifications Experience in Programming Language technologies, such as build More ❯

its product lines into new areas. BASIC QUALIFICATIONS Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis Are 18 years of age or older Experience with at least one modern language such as Java, Python, C++, or C# More ❯

as Java, C/C++, or Python. - Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis. PREFERRED QUALIFICATIONS - Previous technical internship(s) if applicable. - Experience with distributed, multi-tiered systems, algorithms, and relational databases. - Experience in optimization mathematics such More ❯

as Java, C/C++ or Python. Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as More ❯

as Java, C/C++, or Python. Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving and complexity analysis. PREFERRED QUALIFICATIONS Previous technical internship(s) if applicable. Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such More ❯

ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis, and large-scale system design. SRE's culture of diversity, intellectual curiosity, problem solving, and openness is key to its success. More ❯

in Computer Science, Software Engineering or a related technical discipline - Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis. - A strong track record of project delivery for large, cross-functional projects - Experience building complex software systems that have been successfully delivered to More ❯

At least 3 years of commercial experience as a Software Engineer. Experience in software systems design, and familiarity with fundamental computer science concepts (algorithms, complexity, data structures). Proficiency in at least one of our core programming languages (Go, TypeScript or Python), and a willingness and enthusiasm for learning More ❯

years of commercial experience as a Software Engineer. Experience in large-scale software systems design, and familiarity with fundamental computer science concepts (algorithms, complexity, data structures). Proficiency in at least one of our core programming languages (Go, TypeScript or Python), and a willingness and enthusiasm for learning new More ❯

ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of diversity, intellectual curiosity, problem solving and openness is key to its success. More ❯

stack and act as a technical liaison. BASIC QUALIFICATIONS Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) Experience using JavaScript frameworks such as Angular and React Experience (non-internship) in professional front end, web or mobile software development More ❯

Demonstrated ability to produce significant output with minimal wasted effort. - Planning: Strong planning, scheduling, and forecasting skills. Focuses on key priorities. - Reporting and Analysis: Ability to structure and process qualitative and quantitative data, drawing insightful conclusions. - Attention to Detail: Meticulous, ensuring no important details slip through the cracks. More ❯

Demonstrated ability to produce significant output with minimal wasted effort. - Planning: Strong planning, scheduling, and forecasting skills. Focuses on key priorities. - Reporting and Analysis: Ability to structure and process qualitative and quantitative data, drawing insightful conclusions. - Attention to Detail: Meticulous, ensuring no important details slip through the cracks. More ❯

practices Advanced proficiency in one or more high-level programming language: Java, ASP.NET, C/C++, C#, Python, or Perl Experience with system analysis and troubleshooting in large-scale Windows or Linux environment Strong networking fundamentals including DNS, DHCP, SSH, HTTP, TCP/IP protocols, and hands-on … Bachelor's Degree in Computer Science or related technical field. Solid knowledge of CS fundamentals - object-oriented design, data structures, algorithms, problem solving and complexity analysis. 7+ years relevant work experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability 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 ❯

deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Key accountabilities: Point-in-time performance analysis for loss provisioning. Long-term ("through-the-cycle") economic capital analysis. Algorithms for automated lending decisioning. Macroeconomic scenario forecasting and stress testing. Simulations of … business decision making and estimation of credit movements in line with IFRS9, IRB and stress testing standards and internal development policies. Performing segmentation analysis and calibration of models. Contributing to the standards and methodologies required to deliver these models. Extracting, transforming, and cleaning the data required for modelling. … Engaging with customer facing Business to understand how our models can support their decision making. Analysis and Investigation: Undertake various complex data analyses, investigations and/or modelling of business issues to improve the management, services and products of the bank. Predictive Model Development: Take a role in More ❯

Enhance the networking experiences for eero's whole home connectivity products Investigate customer issues from production with a focus on early field failure analysis Dive deep into embedded system internals Deliver rapid board bring up and prototyping of new platforms Work with core operating system, mobile and cloud … related fields. - Proficiency in the C or C++ programming language. - Knowledge of Computer Science fundamentals such as algorithm design, data structures, problem solving, and complexity analysis. PREFERRED QUALIFICATIONS - Good English listening and speaking skills. - Experiences with Linux or other embedded systems is a plus. - Proficiency in Python or Golang 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 ❯

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 ❯