76 to 100 of 138 Algorithms Jobs in London

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

complex financial data sets. · Collaborate with Data Analysts and engineers for data solutions for modelling purposes. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Familiarity with big data technologies and selecting appropriate datasets and data representation methods. Solving complex problems … with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms on a large volumes of historical data for predictions. Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. Model onitoring in Production utilizing appropriate metrics and reporting. Requirements ...

will focus on the development of disruptive technologies for HPC, AI/ML Technologies for real time Imaging. This role will focus on Algorithms development to optimise Metaheuristic optimisation and also develop code and to test it. The successful applicant will have a good relevant Degree or PhD with proficiency ...

Strong proficiency in any OO language (they are agnostic) - (low-latency or systems-level experience preferred) Deep understanding of data structures, algorithms, and computer architecture Proven ability to tackle complex challenges with initiative and agility in high-pressure environments Apply now or reach out directly: hhandelman@hunterbond.com for more details ...

trading capabilities. Take end‐to‐end ownership of projects, from design through to deployment and iteration. What you bring Strong software engineering fundamentals: algorithms, data structures, architecture. Commercial experience in C# and/or Python, ideally on complex, high‐performance systems. Interest in quantitative finance and how engineering accelerates research ...

crossroads of software, data and engineering, collaborating with experts across multiple disciplines. What You’ll Do Own and evolve backend systems across data models, algorithms, infrastructure and APIs. Build modern Python services across a wide-ranging backend codebase. Work closely with product and engineering teams to understand real hardware-design ...

skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries Experience deploying and maintaining ML models in production Solid software engineering fundamentals (algorithms, data structures, clean code) Comfortable working with Docker and containerised systems Experience collaborating cross-functionally and owning delivery, not just models A mindset focused ...

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech ...

support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future ...

Design, develop, and support pricing, eTrading, and market-making systems. Collaborate with traders, sales, and quants to deliver performant, data-driven solutions. Enhance trading algorithms, data pipelines, and market connectivity. Integrate trading systems with upstream trade execution and regulatory platforms. Work within an agile team delivering high-priority solutions under … tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets ...

Familiarity with Eclipse/IntelliJ, GIT, continuous integration servers, and build tools like Maven/Gradle Strong communication skills Preferred Experience: Familiarity with benchmark algorithms or smart routing strategies (VWAP, TWAP) Experience with agile development methodologies Background in front office system design and architecture Knowledge of equities or derivatives markets ...

through prior roles, personal projects, open-source work, or a strong portfolio/GitHub presence. Must haves Expert-level Python skills Industry experience shipping algorithms and/or evaluation pipelines into production environments Hands-on experience with large language models and prompt engineering Familiarity with back-end development and Postgres ...

Software Engineer - C++ Title : Software Engineer - C++ Company : Elite Software House Location : Remote Salary : £80,000 - £115,000 Skills : C++, Algorithms, Boost Overview : Are you someone that thinks that writing slick, classy C++ code can and should be an art? Would you like to be part of an internationally recognised ...