1 to 25 of 1,006 Permanent Algorithms Jobs

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, with ...

Responsibilities:Design and develop ETL/ELT solutions on Azure Databricks, LakeBase and SparkDevelop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data productsDesign, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support ...

Skills & ExperienceStrong hands-on Java development experience within complex desktop applicationsExcellent understanding of object-oriented programming principles and software designStrong computer science fundamentals including algorithms, data structures and software architectureSolid understanding of multithreading, concurrency and synchronisationExperience applying common design patterns and architectural principles in commercial softwareGood understanding of memory management ...

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. ...

manage suppliers/stakeholders contributing project components of a larger Data Science oriented programme of work. Desirable criteria Knowledge in key Machine Learning based algorithms: Supervised (Linear regression, SVM, Random Forests, Gradient Boosting and Neural Networks) and Unsupervised (KMeans, Gaussian Mixtures) and the entire end to end ML pipeline. Certification ...

Strong object-oriented programming in C++, including modern C++ practices and proficiency with the C++ Standard Library (STL).Solid software engineering fundamentals: data structures, algorithms, object-oriented design, and design patterns. Strong programming, debugging, analytical, and problem-solving skills. Working knowledge of CAD/CAM concepts, computational geometry, or geometric ...

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 Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development ...

engineering or related STEM fieldStrong 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 learningExcellent collaboration and communication skills, both with teams and in client-facing engagementsInterested in building AI applications, ranging from forecasting ...

following: Create data mining models to identify and mine data from reliable internal and external sources. Develop and apply custom data models and algorithms to large data sets. Design tools and testing models to ensure data accuracy. Perform statistical reporting and create data analysis methodologies to identify trends in large ...

developers and interfacing external systems, and collaborating with front-end developers to integrate user-facing elements with server-side logicDesigning efficient data structures and algorithms to manage large-scale and high throughput dataOptimizing applications for speed and scalability through performance analysisActively improve user workflows by collaborating with cross-functional teams ...

Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience of web based development and visualisation technology ...

Node.js, Express) on cloud-based technology, such as AWS and GCP. Experience of building large scale and low latency distributed systems. Solid understanding of algorithms, data structures, performance optimisation techniques, object-oriented programming. Experience using modern AI-assisted and agentic development workflows in day-to-day engineering usingAI/ ...

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 ...

degree in Mathematics, Physics, Electrical Engineering or related technical discipline 3+ years experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Strong analytical and problem solving skills using math, statistics, and programming Demonstrated ability to learn technologies and apply Excellent communication ...

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 ...

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 ...

value. Collect, clean, and transform structured and unstructured data from multiple internal and external sources. Develop, test, and deploy predictive models and machine learning algorithms to address business challenges. Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers. Communicate insights and recommendations through clear storytelling, visualisations ...

design patterns and object‐orientated programming. Proficiency in core Java demonstrable success in developing multi‐threaded applications and expert level knowledge in data structures, algorithms, collections, and error handling. Spring Framework (and Spring Boot): This is almost non‐negotiable for enterprise Java development. Expertise in Spring Boot for rapid application ...

Lambda, EC2, RDS, Glue, or similar) Strong applied mathematics – statistics, probability, linear algebra, or signal processing Demonstrated ability to read, understand, and extend complex algorithms and dense business logic written by others Understanding of software engineering principles (testing, code quality, design patterns) Familiarity with version control (Git), CI/ ...

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 ...

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 ...

Prior experience developing production quality Python is essentialDeep understanding of Agentic AI systems and multi-agent architecturesProficiency 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 ...

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 ...

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, with ...

Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms or financial regulations Experience with robust testing and verification practices #J-18808-Ljbffr ...