1 to 25 of 107 Permanent Algorithms Jobs in London

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 ...

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 ...

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 ...

/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 ...

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 ...

/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 ...

/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 ...

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 ...

improving outcomes for clients and the firm, this role was built for you. Responsibilities Execution Algorithm Design & Development Design, implement, and maintain production execution algorithms from scheduling models to adaptive allocation strategies driven by real‐time signals and analytics. Build and enhance and optimize venue selection, queue priority modelling ...

sponsored listings for travelers/p/li li p Partner with machine learning and engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives/p/li li p Define success metrics, analyze performance data, and identify opportunities to drive ...

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 ...

product partners and stakeholders to identify opportunities to apply AI/ML to content, data, and products • Conduct research and identify AI/ML algorithms and methods to solve specific business problems • Implement rigorous testing and evaluation of potential solutions; review indicative results and proofof- concepts with multi-disciplinary teams ...

help). Nice to have experience: Hands‐on experience with blockchain technology, cryptocurrency protocols, or on‐chain data analysis. Experience with entity resolution, graph algorithms, or large-scale clustering problems. Familiarity with cost optimization for high-throughput data pipelines. Technologies we use: AWS serverless architectures Kubernetes Spark Flink Java Python ...

deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning ...

GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills ...

multilingual systems. Key Job Responsibilities As a Senior Applied Scientist with the Alexa International team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in multilingual speech generation, text-to-speech synthesis, and speech-to-speech models. Your work ...

robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact ...

systems Solid understanding of concurrency, parallelism, and systems‐level programming Experience designing services for high throughput and low latency Strong fundamentals in data structures, algorithms, and system design Excellent problem‐solving and communication skills Background in financial systems, trading, or real‐time platforms is advantageous but not essential What ...

role in a new team building a Greenfield MFT platform for Equities trading, you will focus on designing, developing and implementing trade execution algorithms using Python and C++ within TWAP/VWAP infrastructure. This is an impactful role where you will influence and set the technical direction, drive standards ...

engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi‐threaded, and scalable applications using frameworks such as Ray, Horovod ...

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 ...