1 to 25 of 145 Algorithms Jobs in London

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 ...

rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time‐series analysis, asset‐pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying to cloud (AWS, GCP, Azure, or similar). ...

rates), including pricing, curve construction, and risk analytics (duration, convexity, DV01). Advanced mathematical knowledge (e.g., statistics, time-series analysis, asset-pricing theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying to cloud (AWS, GCP, Azure, or similar). ...

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 ...

than a number. Experience working in fintech or within the financial services industry. Proficient understanding of core computer science principles, including data structures, algorithms, software design, and complexity analysis. Demonstrable programming ability in at least one modern language (e.g., Python, Java, Go, etc). Strong analytical and problem-solving skills ...

systems to a trading desk. Key Responsibilities Design and develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis Implement and optimize execution algorithms to improve trading efficiency and reduce market impact Analyse market microstructure and develop models to predict short‐term price movements Collaborate with quants, developers ...

frameworks). Familiarity with LLM‐based systems for structured information extraction from unstructured text. Understanding of computer science fundamentals such as data structures and algorithms and a data‐oriented approach to problem‐solving. Excellent communication skills and ability to collaborate with engineering peers as well as non‐engineering stakeholders such ...

business. Job Responsibilities: Execute software solutions, design, development, and technical troubleshooting to solve complex problems Create secure, high-quality production code and maintain algorithms that integrate with critical systems Produce architecture and design artifacts for complex applications, ensuring alignment with design constraints Gather, analyze, and synthesize data to develop visualizations ...

good understanding of DevOps and CI/CD You have a strong knowledge of Computer Science fundamentals such as OOP, Design Patterns, Algorithms You have a strong interest in emerging technologies and are comfortable with AI enabled development You're collaborative communicator who enjoys working directly with users, stakeholders ...

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 ...

feedback and proposes improvements to architecture governance practices Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene ...

/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 ...

solutions in a commercial environment Strong Python and SQL skills Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud environments Knowledge of data engineering principles including ETL processes, data pipelines ...

software system reliability and risk management—including how to identify potential points of failure and design mitigation strategies. A good understanding of data structures, algorithms, and system design Experience navigating and improving large, distributed codebases An ability to identify system risks and engineer around points of failure Clear written ...

optimization. What You'll Work On Developing high performance C++ software for telecom signaling, data processing, and related systems Implementing efficient decoding/encoding algorithms for large-scale network data Building and optimizing low-latency, high-throughput processing pipelines Working within Linux environments (GCC toolchain). Performing debugging, profiling, performance ...

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. ...

team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings ...

accuracy, cost and latency. Understanding of AI governance, security, privacy, bias/fairness and emerging regulations. Machine Learning Mastery – profound understanding of ML principles, algorithms, frameworks, and training pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI ...

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 ...

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 ...

design and patterns. Designing and operating distributed systems (microservices, event-driven architectures, messaging/streaming). Strong understanding of computer science fundamentals (data structures, algorithms, concurrency, networking, OS). Proven experience in e-trading or real-time financial systems (FX highly desirable), including familiarity with market data, order flows ...

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 ...