1 to 25 of 819 Permanent Algorithms Jobs

cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation ...

complex datasets. Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte‐scale or larger datasets. Solid foundation in data structures, algorithms, and object‐oriented design. Professional experience building REST services and working with event queue systems. Familiarity with Linux and cloud infrastructure design ...

SDKs, and microservices. Visualize data, create reports, and present findings to senior management and cross-functional teams. Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure). Research and stay up to date with the latest advances in AI, Data Science, and Machine Learning. Optimize ...

LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively ...

models into commercial software architectures and ensure compliance with GDPR and security standards Excellent analytical and problem-solving skills; capable of designing and validating algorithms Strong communication skills, stakeholder engagement, and technical reporting Experience with Generative AI Retrieval-Augmented Generation, and cloud deployment Familiarity with financial data structures ...

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). ...

Expect You Have 10+ years of experience building large-scale and low-latency distributed systems. Proficiency in Java or C++. Strong understanding of algorithms, data structures, performance optimization, object-oriented programming, multi-threading, and real-time programming. Experience with distributed caching, SQL/NoSQL, and other databases is a plus. ...

unstructured formats. Using strong critical‐thinking and problem‐solving skills, you’ll analyse and interpret data, build predictive models, and develop machine learning algorithms that generate actionable insights. You’ll propose solutions to business challenges and collaborate with other teams to implement them. Recognising the dependencies Group companies have ...

related STEM field Strong problem-solving skills and solid grounding in classical ML and deep learning: from applied statistics and traditional machine learning algorithms to transformers and SOTA deep learning Excellent collaboration and communication skills, both with teams and in client-facing engagements Interested in building AI applications, ranging from ...

such as fraud detection and predictive maintenance) across key sectors for an Enterprise AI client. Key Responsibilities Design, build, and deploy scalable machine learning algorithms and software solutions. Analyse, cleanse, and normalise complex time-series data and dynamical systems. Integrate ML models into production using cloud platforms and modern JavaScript ...

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 ...

implementing AI agents or intelligent systems. Strong proficiency in programming languages such as Python, Java, or C++. In-depth understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures. Solid understanding of software ...

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 ...

strategies across various asset classes and markets. Design and develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis Implement and optimise 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 ...

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 ...

data, serving sectors like pharmaceuticals, energy, and manufacturing. Our core product is a robust calculation engine capable of executing advanced math and machine learning algorithms on streaming time-series data. By leveraging generative AI, we enhance usability and accelerate outcomes for our users. As a fully remote company, Seeq fosters ...

machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/system performance, quality and accuracy. Near Real-Time and Batch Inferencing: Use infrastructure like ...

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 ...

streaming technologies such as Kafka, ActiveMQ, Azure Service Bus, and Azure Event Hubs.* Experience in containerising models and deploying in Kubernetes.* Have experience implementing algorithms and data-structures.* Have a good knowledge of linear algebra, calculus, and discrete mathematics.After you submit your application, you will receive an email **from Shell ...

experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models ...

experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models ...

experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models ...

experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models ...