1 to 25 of 35 Remote/Hybrid Algorithms Jobs in the South East

development in Java, Python, or Go. Experience with Docker and CI/CD processes. Understanding of DevOps principles and Agile methodologies. Knowledge of algorithms, data structures, and secure coding practices. Excellent teamwork and communication skills. Ability to adapt and learn in a fast-paced environment. Bonus: Kubernetes or container orchestration ...

projects. Essential Skills & Experience: Proficiency in C++ and object-oriented programming. Strong debugging, fault isolation, and problem-solving abilities. Knowledge of data structures, algorithms, and software design patterns. Experience with code configuration management systems (e.g., Subversion). Understanding of network programming, data serialization, and database design/administration. Front ...

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 ...

React You have experience with AWS and microservices You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You enjoy collaborating, learning new things and sharing knowledge You are degree educated in Computer Science or closely related discipline What ...

nature of projects. Strong background in software architecture with at least 5 years’ commercial experience. Solid understanding of software design principles, algorithms and data structures Experience using Go, Python and Java programming languages. Experience designing responsive front-end applications and scalable back-end services and microservices architecture. Knowledge of security ...

Enterprise Integration and messaging technologies 29 West Multicast* Knowledge of the FIX protocol* Familiarity with time series databases KDB* Knowledge of lock free algorithms low latency tuning and threading.Additional Skills :* o Excellent problem solving and analytical skillso Excellent communication and interpersonal skillso The ability to work comfortably both within ...

time embedded firmware for ESC controllers and next-generation motor drive systems, from initial architecture through to production release Develop and optimise motor control algorithms for BLDC motors, including field-oriented control, sensorless commutation, and current loop tuning Integrate sensors and implement feedback control systems for position, speed, and current ...

Python Developer will be joining a dedicated R&D team that leverage machine and deep learning for the computer vision and signal processing algorithms that underpin an innovative patient-monitoring platform, deployed in 100s of hospitals across the UK and US. Using existing Python skills to support the research, development ...

leading in the growing market of Energy Utilities. Our software solutions deliver reliability, productivity, innovation, and efficiency through a modular architecture, adaptive algorithms, predictive analytics, and a brilliant user experience. Roles and Responsibilities Lead and manage the migration of SCADA systems into ADMS platforms. Leverage your expertise to ensure smooth ...

leading in the growing market of Energy Utilities. Our software solutions deliver reliability, productivity, innovation, and efficiency through a modular architecture, adaptive algorithms, predictive analytics, and a brilliant user experience. Roles and Responsibilities Lead and manage the migration of SCADA systems into ADMS platforms. Leverage your expertise to ensure smooth ...

leading in the growing market of Energy Utilities. Our software solutions deliver reliability, productivity, innovation, and efficiency through a modular architecture, adaptive algorithms, predictive analytics, and a brilliant user experience. Roles and Responsibilities Lead and manage the migration of SCADA systems into ADMS platforms. Leverage your expertise to ensure smooth ...

leading in the growing market of Energy Utilities. Our software solutions deliver reliability, productivity, innovation, and efficiency through a modular architecture, adaptive algorithms, predictive analytics, and a brilliant user experience. Roles and Responsibilities Lead and manage the migration of SCADA systems into ADMS platforms. Leverage your expertise to ensure smooth ...

leading in the growing market of Energy Utilities. Our software solutions deliver reliability, productivity, innovation, and efficiency through a modular architecture, adaptive algorithms, predictive analytics, and a brilliant user experience. Roles and Responsibilities Lead and manage the migration of SCADA systems into ADMS platforms. Leverage your expertise to ensure smooth ...