126 to 150 of 346 Algorithms Jobs in London

languages and using type systems to catch bugs early, rather than at runtime. Solid knowledge of basic data structures (list, vector, stack, heap), fundamental algorithms (sort, search, etc.) and associated time/memory asymptotic complexity. Solid knowledge of distributed systems, multi-threading and synchronization. Bachelor's degree in Computer Science more »

building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions more »

CSS, JavaScript, HTTP) and modern web development frameworks (React, Angular, Dash). Experience of version control systems like Git. Deep understanding of data structures, algorithms, system design, and software architecture. Experience of databases and data warehouse technology (SQL or NoSQL). Extensive experience with testing frameworks and methodologies. Strong management more »

role, you will be involved in innovative projects of building an automated test/analytics module and a monitoring tool for performance of trading algorithms and AI/ML models using open source tools (Jupyter notebook, Plotly/Dash). What we ll offer you A healthy, engaged and well more »

cloud platforms. Qualifications Who we're looking for: Experience with Java Core, Spring/Quarkus framework and Linux Understanding of computing science fundamentals concurrency, algorithms, data structures, design patterns, etc. Good understanding of build activities across the SDLC including unit testing, system testing, integration, security, and performance testing Relentless focus more »

scalability. What will you do? Build a cutting-edge Cloud Native platform on top of the public cloud. Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations. Work on the autoscale and Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling. Work closely with more »

senior member of the team. Responsibilities: Build machine learning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Function as a Full Stack Data Scientist, building models along with other Data Scientists. You have ownership and lead exciting more »

field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to detail. Excellent communication and collaboration abilities to more »

risk models and analytics into the risk management systems. Develop tools for real-time risk assessment, scenario analysis, and stress testing. Implement machine learning algorithms to enhance predictive risk analytics and anomaly detection. Collaboration and Communication: Work closely with front office traders and portfolio managers to understand their risk management more »

natural language processing is highly desirable. Familiarity with the latest research on prompt engineering and generative AI models, specifically LLMs. Familiarity with machine learning algorithms and data structures is highly desirable. Proficiency in web-scale architectures, systems and protocols. Proficiency in cloud based deployments. Familiarity with common Software Development Cycle more »

problems related to demand forecasting. Conduct exploratory data analysis and feature engineering to extract valuable insights from complex datasets. Develop and implement machine learning algorithms to optimize demand forecasting accuracy and efficiency. Evaluate and fine-tune models by applying statistical methods and running experiments on real-world data. Communicate findings more »

You'll need to have: Experience working with C++ and/or Python An understanding of Computer Science fundamentals such as data structures and algorithms Experience working closely with other engineering and product teams to understand user requirements and support the implementation of our products An honest approach to problem more »

functional teams to define objectives, identify data sources, assist data collection process, and develop production grade software applications. Design, implement, and validate machine learning algorithms and models; optimize and productionize their performance for real-world applications. Stay up to date with the latest developments in the field of generative AI more »

user interfaces that enable seamless interaction with our extensive data, models, and systems. You will utilise your expertise to implement sophisticated quantitative models, transforming algorithms from research papers into scalable, reliable, and explainable code. Collaborating closely with data engineers, you will design and refine enterprise-level server-side frameworks to more »

Data Insights & Analytics to be leveraged and applied globally. Analysing structured data to identify potential financial crime risks using statistical modelling, segmentation strategies, optimisation algorithms and data mining analyses (regression, predictive). Using advanced data visualisation techniques to provide support to financial crimes investigations. Coordinating with global and the other more »

USA with a small UK presence. Key Responsibilities Design, develop, and implement software solutions to analyse video, audio, and other input streams Create efficient algorithms for processing and interpreting log data Leverage machine learning technologies to interpret complex data from various sources. Collaborate with cross-functional teams to gather requirements more »

scalability. What will you do? Build a cutting-edge Cloud Native platform on top of the public cloud. Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations. Work on the autoscale and Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling. Work closely with more »

with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical more »

experience within a development team Proficiency in programming languages relevant to AI such as Python, R or Java Deep and proven understanding of AI algorithms, GenAI, machine learning, natural language processing, and data analysis Experience with AI/ML frameworks and libraries e.g TensorFlow, PyTorch Knowledge of cloud platforms e.g more »

USA with a small UK presence. Key Responsibilities Design, develop, and implement software solutions to analyse video, audio, and other input streams Create efficient algorithms for processing and interpreting log data Leverage machine learning technologies to interpret complex data from various sources. Collaborate with cross-functional teams to gather requirements more »

USA with a small UK presence. Key Responsibilities Design, develop, and implement software solutions to analyse video, audio, and other input streams Create efficient algorithms for processing and interpreting log data Leverage machine learning technologies to interpret complex data from various sources. Collaborate with cross-functional teams to gather requirements more »

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

will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists. You will be able to more »

interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists. You will be able to more »

maintaining scalable, high-performance software systems Expertise in at least one modern programming language (e.g. Java, Python, C++, etc.) Strong experience with data structures, algorithms, and software design patterns Experience with cloud technologies (e.g. AWS, Azure, Google Cloud, etc.) and microservice architecture Strong collaboration skills and a proven ability to more »