to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯
to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software More ❯
London, England, United Kingdom Hybrid / WFH Options
WTW
in meetings with stakeholders Desirable : BSc degree qualified educated in a quantitative discipline (Mathematics, Science or Computer Science) Experience building and working with mathematical algorithms Experience with microservice based architectures Experience understanding and translating complex business processes involving stakeholder groups and perspectives Experience of working in a financial services organisation More ❯
opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and More ❯
for NLP tasks. Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG. Document and text Classification Data Science: Data clustering algorithms, feature engineering Evaluate and integrate new technologies and models. Cross-team collaboration, identifying innovations and architecting solutions. Provide leadership and technical direction to various business More ❯
solutions for trading systems. Collaborate with traders, quants, and other stakeholders to gather requirements and deliver high-quality software solutions. Optimize and troubleshoot trading algorithms and systems to ensure high performance and reliability. Participate in code reviews, testing, and deployment processes to ensure code quality and stability. Stay updated with More ❯
to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software More ❯
and trusted computing modules to securely capture, store and transmit sensitive payment data Implementing secure end-to-end transactions, featuring synchronous and asynchronous cryptographic algorithms and digital signatures Participating in the entire software development lifecycle, from requirements analysis through software and test design, implementation and unit testing, to verification and More ❯
design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles, algorithms, and techniques. Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proficiency in data preprocessing, feature engineering, and model More ❯
design decisions, implementation details, and testing outcomes to facilitate knowledge sharing across teams. REQUIRED SKILLS AND EXPERIENCE: Programming: Expertise in C for developing complex algorithms in real-time systems. Operating Systems: Strong experience with Linux environments. Testing: Hands-on experience with unit testing, design validation, and test execution. Flight Code More ❯
