126 to 150 of 648 Algorithms Jobs in England

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

capabilities using techniques such as knowledge graphs for relationship-aware reasoning, rule-based and symbolic reasoning for deterministic business decisions, and planning/search algorithms to execute complex multi-step workflows reliably and efficiently. Develop resilient and adaptive agent architectures with mechanisms for feedback-driven improvement, error recovery, self-correction ...

fast moving market. What you'll do Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient solutions. Research, develop, and champion ...

cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation ...

monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands‐on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End‐to‐end exposure in model ...

topics. Preferred Qualifications, Capabilities, and Skills Experience in financial markets and familiarity with general trading concepts and terminology. Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations. Understanding of different types of financial risk and approaches to risk management. Interest in applying agile development practices ...

hands-on technical mentorship to engineering teams implementing production AI solutions. Partner with data science teams to translate complex forecasting models and machine learning algorithms into production-ready, scalable architectures. Design robust observability and evaluation frameworks for GenAI systems, including system guardrails, continuous monitoring, and optimisation mechanisms. Your Skills Experienced ...

topics. Preferred Qualifications, Capabilities, and Skills Experience in financial markets and familiarity with general trading concepts and terminology. Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations. Understanding of different types of financial risk and approaches to risk management. Interest in applying agile development practices ...

develop, and deliver full-stack solutions across frontend (React) and backend (Node.js/TypeScript, Python) services Create secure, high-quality production code and maintain algorithms that run reliably and synchronously with appropriate systems Produce architecture and design artifacts for complex application components, ensuring design constraints are met in implementation Gather ...

tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PhD or a Master's degree and experience in engineering, technology, computer ...

Foundations: Strong understanding of system architecture, API design, scalable service integration, Linux systems, and Git version control. Core Soft Skills: Strong knowledge of basic algorithms, object-oriented/functional design principles, and best-practice patterns. Excellent communication and collaboration skills in English for seamless international teamwork. A relevant educational background ...

distributed systems design patterns. Hands on experience another statically compiled language like Golang, Rust or C++. Awareness of key architectural patterns/approaches, algorithms, data structures, cryptography, security protocols (e.g., TLS and OAuth/OIDC), secure system design and Threat Modelling. Certified Kubernetes and public cloud knowledge (e.g. CKAD ...

Engineering, Computer Science degree, or similar. Knowledge of system engineering principles and model-based systems engineering Knowledge of networking fundamentals, including network protocols, routing algorithms, and their use cases. Experience with wireless communication technologies. Software engineering techniques, including Python or C++ programming. Good interpersonal skills and the ability to communicate ...

maintainable code). Hands-on development experience as a full stackdeveloperbuildingenterprise-grade web applications Excellent computer science fundamentals: demonstrable command of data structures, algorithms, and design patterns along with capability to translate them into working, elegant code. Intricate knowledge of controls for consistent deployment and management of applications using best ...

streaming systems — Kafka, exactly-once processing, or event sourcing Experience in the payments or fintech industry, operating at global scale Performance optimization and efficient algorithms for high-throughput, low-latency systems Static analysis and code-quality tooling (e.g., SonarQube) and mature CI/CD pipelines Nice to Have A track ...

monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands‐on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End-to‐end exposure in model ...

standards (CCSDS, SDA, ESTOL). Experience including high data rate comms (Gbps+) and error correction protocols, precision optics and lasers, and pointing and tracking algorithms directly relevant Experience of developing space flight systems, including developing to ECSS standards Experience of developing safety related systems, including risk assessments, functional safety lifecycles ...

effectively and present it to relevant stakeholders and users A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms Ideally, you would also have: PhD in computer vision, machine learning, robotics, or a related field Authored publications in top-tier journals and conferences (e.g. ...

integrate data science models seamlessly into our tech stack. Experimentation & Insights Design and execute rigorous A/B tests to validate new features, algorithms, and product iterations. Apply advanced statistical and probability theory to evaluate model performance and user behavior. Utilise our extensive data infrastructure to uncover insights that drive ...

reliable, scalable, and ready for production deployment across local and cloud-based environments. What You'll Do Lead the design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‐learning methods to large‐scale genetic ...