1 to 25 of 310 Permanent Algorithms Jobs in England

assist them to ensure timely execution of new projects Lead initiatives like "automating scoring using machine learning techniques", "build asset allocation models", "build algorithms for automating financial planning framework", "build recommendation systems", "build system for automated fraud detection", etc Analyse data to help in better decision making Supporting initiatives ...

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 ...

Java/C# (strongly preferred) Experience with: Object-oriented design and software engineering best practices Numerical methods (Monte Carlo, PDEs, stochastic calculus) Data structures, algorithms, and performance optimisation Familiarity with: Quant libraries (e.g., QuantLib) Cloud platforms or distributed computing (nice to have) Version control tools (Git) 📊 Preferred Domain Expertise ...

design and deliver production systems that enable systematic trading at scale. You partner with researchers and traders to translate ideas into resilient, performant algorithms and execution platforms. You thrive in a dynamic, collaborative environment and bring a builder’s mindset to continuously improve models, tooling and workflows. Job Responsibilities Design ...

services for the Markets CRM platform Execute software solutions, design, development, and technical troubleshooting Create secure, high‐quality production code and maintain robust algorithms Produce architecture and design artifacts for complex applications Gather, analyze, and synthesize data to drive continuous improvement Identify and address hidden problems and patterns in data ...

experience building enterprise applications and modern web technologies in production environments • Software Engineering Fundamentals – Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code • Backend Development – Proficiency in Java, Spring Boot, Maven, and Python (Pandas, FastAPI, Flask) for building enterprise applications ...

/CD driven application deployments. Consult science users on application scalability to PBs of data by having a deep understanding of software engineering, algorithms, and underlying hardware infrastructure and their impact on performance. Confidently optimizes design and execution of complex solutions within large-scale distributed computing environments Produces well-engineered ...

JavaScript/TypeScript and React Experience or familiarity with backend languages such as Java, Python, or Go Solid understanding of software engineering fundamentals, including algorithms and data structures Experience using Docker for containerisation Good understanding of DevOps practices, including CI/CD pipelines and automated testing Strong communication skills with ...

stakeholder reporting. Analyse large volumes of structured and unstructured data from diverse sources to identify patterns, anomalies, and potential risks. Develop analytical models and algorithms to support fraud detection, financial crime monitoring, misconduct investigations, and regulatory compliance initiatives. Apply advanced analytical techniques to detect suspicious transactions, behavioural patterns, and emerging ...

developing production quality Python is essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code ...

developing production quality Python is essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code ...

/AI for quant finance (signal extraction, surrogate modeling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimization, hedging algorithms, execution analytics, and transaction cost modeling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large-scale simulations. Contributions ...

testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms. Strong Python programming skills and adherence to software ...

testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms. Strong Python programming skills and adherence to software ...

testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms. Strong Python programming skills and adherence to software ...

testing strategies (e.G., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms. Strong Python programming skills and adherence to software ...

testing strategies (e.g., data validation, model correctness, performance testing). Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms) Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms. Strong Python programming skills and adherence to software ...

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 ...

development of ML‐powered products. Advanced Python programming skills and a track record of delivering robust software solutions. Proficiency with standard deep learning algorithms and model architectures. In depth knowledge in machine learning best practices, scalable training and deployment. Experience operating in cloud environments (e.g., Azure, AWS, or GCP). ...

that enhance the quality and personalization of sponsored listings for travelers. Partner with machine learning and engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives. Define success metrics, analyse performance data, and identify opportunities to drive growth in sponsored listings through ...

quality and personalization of sponsored listings for travelers./li li Partner with machine learning and engineering teams to design, implement, and optimise auction algorithms that balance traveler experience, partner value, and business objectives./li li Define success metrics, analyse performance data, and identify growth opportunities through auction improvements. ...

Computer Science, Mathematics, Electrical Engineering or related discipline. 6+ years of software development experience. Strong analysis and design skills, plus knowledge of data structures, algorithms and performance-oriented design. Strong communication skills with both technical and business audiences, and comfortable working with multiple global stakeholders. Expert Knowledge ...

/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large scale simulations. Contributions ...

that enhance the quality and personalization of sponsored listings for travelers Partner with machine learning and engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives Define success metrics, analyze performance data, and identify opportunities to drive growth in sponsored listings through ...

with Git for version control. Proficiency in JavaScript/TypeScript and React. Experience with Back End languages: Java, Python or Go. Solid understanding of algorithms, data structures and core software engineering principles. Hands-on experience with Docker. Knowledge of CI/CD pipelines and automated testing frameworks. Strong written ...