11 of 11 Remote Complexity Analysis Jobs in England

5+ years of professional software development experience in modern C# or similar (e.g. Java, C++). Knowledge of Computer Science fundamentals in data structures, algorithm design, problem-solving, and complexity analysis. Excellent understanding of software design principles. Cloud and Windows/iOS application development. Knowledge of professional software engineering best practices, including coding standards, architecture patterns, code reviews, source More ❯

5+ years of professional software development experience in modern C# or similar (e.g. Java, C++). Knowledge of Computer Science fundamentals in data structures, algorithm design, problem-solving, and complexity analysis. Excellent understanding of software design principles. Cloud and Windows/iOS application development. Knowledge of professional software engineering best practices, including coding standards, architecture patterns, code reviews, source More ❯

5+ years of professional software development experience in modern C# or similar (e.g. Java, C++). Knowledge of Computer Science fundamentals in data structures, algorithm design, problem-solving, and complexity analysis. Excellent understanding of software design principles. Cloud and Windows/iOS application development. Knowledge of professional software engineering best practices, including coding standards, architecture patterns, code reviews, source More ❯

be needing C# .Net, Entity Framework, SQL/NoSQL databases, Cloud. REST API development using C# and ASP .Net Core. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Experience developing, deploying and maintaining API's onto AWS or Azure. Excellent understanding of software design principles. Experience in applying OWASP secure coding practices. Confident and experienced with More ❯

JUnit, Mockito, and Unix/Linux environments. Qualifications: A wealth of experience building business-critical applications in a full-stack manner. Strong understanding of computer science fundamentals, including algorithms, complexity, and data structures. Proven track record of managing and implementing successful projects. Ability to work under pressure and meet tight deadlines. Bachelor's degree/University degree or equivalent More ❯

both technical and non-technical stakeholders through reports, visualisations, and presentations. The full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency … Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day 1 of More ❯

continually seeking to find improvements. It is up to the leads build on that desire and passion. Opportunities to work on complex challenges, while using expertise in coding, algorithms, complexity/forensic analysis, technical architecture, and various system design strategies to address those challenges. Why Lloyds Banking Group Like the modern Britain we serve, we're evolving. More ❯

senior engineer's familiarity, independence, 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 otherwise comprehensively tested code Please note: even if you don't have exactly the background More ❯

predictive) machine learning/AI 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 development programs. Your Experience Ph.D. … . More than 3 years 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. Why Novartis: Helping people with disease and their families takes more than innovative science. It More ❯

predictive) machine learning/AI 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 development programs. Your Experience Ph.D. … . More than 3 years 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. Why Novartis: Helping people with disease and their families takes more than innovative science. It More ❯

innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm development, and tools, driving this unified effort forward. Develop in depth understanding of ML workload, develop algorithms and optimization techniques to drive PPA (Performance, Power, Area) on current … machines specific kernel or ARM assembly codeon dedicated hardware accelerator and CPU to drive algorithm and architecture exploration Collaborate with ML Algorithm development team to explore performance critical analysis Develop internal tooling capabilities to support algorithmic and architecture exploration Examples: Develop performance critical assembly code to accelerate ML operations done in low precision arithmetic Develop performance critical kernel More ❯