1 to 25 of 272 Algorithms Jobs

Analysis & Modelling Conduct in-depth exploratory data analysis to identify trends, patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments. Ensure models ...

experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models ...

experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models ...

problem-solving abilities. Some knowledge of crypto would be ideal too. Requirements 3+ years of practical experience in C++ Strong proficiency with data structures, algorithms, and OOP Sound experience using other programming languages, e.g. Java, Python Solid working knowledge of Linux Degree in Computer Science or related field Experience ...

knowledge of CI/CD, testing and deployment You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and pragmatic with great communication skills You're degree educated in a STEM discipline, having achieved a 2.1 or above What ...

Java, C, C++, C#, Visual Basic, or similar, in addition to working knowledge of SQL, database concepts, common software design patterns, data structures and algorithms, with working knowledge of cloud computing (AWS, Azure) Knowledge of common computer infrastructure concepts, web-based or n-tiered architectures, performance tuning of databases ...

Java, C, C++, C#, Visual Basic, or similar, in addition to working knowledge of SQL, database concepts, common software design patterns, data structures and algorithms, with working knowledge of cloud computing (AWS, Azure) Knowledge of common computer infrastructure concepts, web-based or n-tiered architectures, performance tuning of databases ...

engineers where appropriate Essential criteria Professional software engineering experience Commercial experience developing backend applications or services using Golang Strong understanding of software engineering principles, algorithms and data structures Experience working across the full software development lifecycle Experience with Git and collaborative development practices Experience with Docker and containerised application delivery ...

machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. ...

Experience with Docker for containerisation and deployment. Experience with Git, CI/CD and modern software delivery practices Strong understanding of software engineering principles, algorithms and data structures Desirable criteria Commercial Golang experience Experience building or deploying solutions in AWS or Azure JavaScript, TypeScript and React Automated testing frameworks Agile ...

culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with ...

qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Strong software engineering fundamentals - system design, data structures, algorithms, and architectural thinking - with the ability to ramp up quickly across varied tech stacks and project types Hands-on practical experience in full-stack ...

directly contributing to the team's delivery of secure and stable data architectures Applies advanced data modeling techniques, including linear algebra, statistics, and geometrical algorithms to solve real world business challenges and drive actionable insights Collaborates closely with cross-functional teams to integrate data solutions into business-critical applications, actively ...

technical troubleshooting, thinking beyond conventional approaches to break down complex technical problems and deliver scalable outcomes Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity ...

security best practices Experience with designing data architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience ...

Requirements 4+ years of professional C++ development experience Strong Linux systems programming experience Solid understanding of: Concurrency Multi-threading Memory management Data structures and algorithms Software architecture and design patterns Degree in Computer Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience) Strong problem-solving and analytical skills ...

problem solving, working on complex, distributed systems You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a scaling company in a role that you can shape and influence What's in it for you: As a Lead ...

best practices across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence Apply now to find out more about this ...

essential. Python , in particular, has emerged as the language for Data and AI applications commonly used for data manipulation, building data pipelines, and developing algorithms for data processing. A strong understanding of data formats such as Delta and Iceberg is vital, in addition to both SQL and NoSQL databases. Data ...

very well be the right place for you. The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk ...

very well be the right place for you. The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk ...

continual, iterative improvements for product teams Executes software solutions, design, development, and technical troubleshooting Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development ...

technical troubleshooting, thinking beyond routine approaches to build innovative solutions and break down complex technical problems Create secure, high-quality production code and maintain algorithms and systems that support robust private cloud infrastructure Produce architecture and design artifacts for complex applications, ensuring design constraints are met throughout the software development ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...