26 to 50 of 2,172 Algorithms Jobs in London

For Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP More ❯

SSE, WebSockets, etc. Expertise in HTML, CSS, Javascript with the ability to write complex user interfaces using these languages. This includes knowledge of programming concepts, design patterns,, data structures, algorithms, and UI components or HTML DOM Strong understanding of the browser box model, CSS flexbox, grid and layering and layout Version controlling code with Git Effective communication skills through written More ❯

edge AI and model-driven engineering. Job Responsibilities Serve as a subject matter expert on a wide range of ML techniques and optimizations. Provide in-depth knowledge of ML algorithms, frameworks, and techniques. Enhance ML workflows through advanced proficiency in large models (LLMs) and related techniques. Conduct experiments using the latest ML technologies, analyze results, and tune models. Implement experimental More ❯

predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser More ❯

Project Oversight: Coordinate the distribution of projects, tools, and data, ensuring alignment with business strategy and data function goals. Advanced Modelling: Oversee the creation of custom data models and algorithms to address complex business problems. Strategic Influence: Serve as a subject matter expert, contributing to the Data Science & AI strategy and roadmap. Insight Delivery: Present complex findings clearly through data More ❯

project updates to senior stakeholders Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms Ideal Experience Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects based on More ❯

the effectiveness of marketing initiatives. Develop and maintain dashboards and reports to track key metrics, campaign performance, and business KPIs. Continuously explore and implement cutting-edge tools, methodologies, and algorithms to ensure best-in-class data analysis and predictive insights. Communicate complex data findings clearly and effectively to stakeholders, helping inform business decisions and resource allocation. Ability to operate independently More ❯

experience, including production systems written in Python Proficiency in a systems language - Rust preferred (C Go also acceptable) - and the desire to deepen that expertise Strong computer-science fundamentals: algorithms, data structures, concurrency, networking, and performance profiling Experience working with real-time and historical market data or other high-volume time-series data Proficiency with Linux development, Git, containers, and More ❯

experience, including production systems written in Python Proficiency in a systems language - Rust preferred (C Go also acceptable) - and the desire to deepen that expertise Strong computer-science fundamentals: algorithms, data structures, concurrency, networking, and performance profiling Experience working with real-time and historical market data or other high-volume time-series data Proficiency with Linux development, Git, containers, and More ❯

s degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working More ❯

project updates to senior stakeholders Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms About you Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects based on More ❯

predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, and is More ❯

Division (GBM), eTrading Engineers are using quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world, and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading-edge technologies to solve More ❯

development experience preferably in Java, C/C++, Python, competent in traditional (RDBMS) and modern datastores (NoSQL) Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team More ❯

of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a plus. ABOUT GOLDMAN SACHS At More ❯

trends and industry best practices to drive innovation and deliver cutting-edge solutions. Connect to your skills and professional experience Technical Proficiency: Strong understanding of AI concepts, machine learning algorithms, and deep learning architectures. Familiarity with various AI solution design patterns and best practices for different business applications. Experience with data visualization tools and techniques to communicate insights and solution More ❯

Join to apply for the Software Engineering Director role at AWTG Ltd Join to apply for the Software Engineering Director role at AWTG Ltd We are seeking an experienced Software Engineering Director to lead the company’s software and product More ❯

Join to apply for the Software Engineering Director role at AWTG Ltd Join to apply for the Software Engineering Director role at AWTG Ltd We are seeking an experienced Software Engineering Director to lead the company’s software and product More ❯

Join to apply for the Software Engineering Director role at AWTG Ltd Join to apply for the Software Engineering Director role at AWTG Ltd We are seeking an experienced Software Engineering Director to lead the company’s software and product More ❯

data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with the engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer … Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

will collaborate closely with quantitative researchers, portfolio manager, and supporting teams to build scalable, high-performance trading systems. Your primary responsibility will be to develop, optimize, and maintain complex algorithms, data pipelines, and software infrastructure that underpin our trading strategies while ensuring robust risk management and compliance standards. Location London Principal Responsibilities Lead the development and evolution of the quantitative … researchers to translate trading strategies into efficient, production-grade code Evaluate and integrate emerging technologies, libraries, and tools to drive continuous improvement Design, code, test, and deploy robust trading algorithms and data processing pipelines Develop real-time data ingestion systems and analytics frameworks for market data, risk metrics, and performance Optimize existing codebases for speed, reliability, and maintainability Ensure rigorous … market anomalies and designed with appropriate safeguards Preferred Technical Skills 1st class Bachelor's or Master's degree in a relevant discipline Strong Python programming skills Strong understanding of algorithms, data structures, and performance optimization Experience with scientific Python libraries (pandas, numpy, etc) Understanding of time series data Basic understanding of statistics and data analysis Modern version control Testing frameworks More ❯

and think global but act local – come join our team! Essential Job Functions: Provide innovative solutions for problems in commercial real estate using generative AI and other machine learning algorithms Use large language models (LLMs) to analyze various commercial real estate data sets, including large sets of financial documents and commercial real estate market data Engineer and tune LLM prompts … and perform automatic and manual evaluations of LLM outputs Apply machine learning algorithms to find patterns in financial data sets, especially time series, related to commercial real estate Translate business problems and requirements into tasks that can be solved with generative AI, machine learning, or other algorithmic solutions Process structured and unstructured data for generative AI use cases Collaborate with … learning and generative AI Experience in applying LLMs to analyze text documents, prompt engineering, and manual and automatic evaluation of LLM outputs Good foundational knowledge of standard machine learning algorithms and statistical methods Proficient in python and its standard data science and ML libraries (e.g., numpy, pandas, scikit-learn, boosting and data visualization libraries) Practical experience in data processing and More ❯

the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors like traffic conditions, weather … to identify the most efficient routes. Optimized routing not only shortens travel time but also makes ETA predictions more reliable. 5. Machine Learning for Anomaly Detection: Implement machine learning algorithms to detect anomalies that could affect delivery times, such as unexpected traffic jams or vehicle breakdowns, and adjust ETAs accordingly. 6. Sensor Data Utilization: Leverage data from IoT devices and More ❯

data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machine learning algorithms (e.g., neural networks, logistic regression, random forests). Proficiency with Java and Python, understanding of data structures, algorithms, and software design patterns. Experience with AI/Gen AI frameworks like More ❯

techniques along with performing statistical analyses leading to the understanding of the structure of data sets. Proven and demonstrable experience with at least three of the following machine learning algorithms: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization. Experience working with Java and Python, and strong understanding of data … structures, algorithms, and software design patterns. Experience with AI and Gen AI frameworks (e.g., TensorFlow or PyTorch). Experience with at least one cloud-based platform (e.g., AWS SageMaker or Azure Machine Learning). Adept at translating business problems into solution statements. Strong communication skills and bilingualism/multilingualism are highly desirable. Open for travel (50% — national and international travel More ❯