1 to 25 of 349 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 ...

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 ...

frameworks) Familiarity with LLM-based systems for structured information extraction from unstructured text An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders ...

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 ...

/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 ...

packages (HuggingFace, TensorFlow, PyTorch).\ N\n Have experience of delivering ML solutions to stakeholders.\ N\n Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature ...

Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature ...

etc. Proven quantitative model development or model validation experience Markets experience and familiarity with trading concepts and terminology Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic processes, partial differential equations, and numerical analysis Equal Employment Opportunity We recognize that our people are our strength and the diverse talents ...

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. ...

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

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 ...

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 ...

/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 ...

have experience 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 You have SC Clearance or are eligible ...

Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges \n Write secure, high-quality production code and maintain algorithms that integrate with existing systems \n Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery \n Build AI/ ...

Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systemsCreate architecture and design artifacts for complex applications, ensuring design constraints are met through deliveryBuild AI/ML solutions and agentic systems ...

Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions ...

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 ...

dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning ...