51 to 75 of 420 Algorithms Jobs in the UK

from many sources. Designing APIs, protocols, and plugins for integration with in-house and third-party software and hardware systems. Working on high performance algorithms and highly parallel real-time processing frameworks. Building tools to aid testing, analysis, and data visualization. Researching, designing, and presenting new technologies and approaches. Required ...

core Flight Management System components Work on real-time data processing for flight planning, scheduling, and air traffic control integration Implement and optimise algorithms for fuel efficiency, route optimisation, and aircraft performance modelling Contribute to multi-threaded, high-performance architectures used in large-scale airline operations Collaborate with system architects ...

platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a C++ Software Engineer you will focus on enabling the core ...

Oracle) You're comfortable with JavaScript/React You have a thorough knowledge of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You are collaborative with excellent communication and stakeholder management skills You are degree educated in Computer Science or similar technical discipline Apply now to find ...

visualisation tools to understand data patterns and characteristics within real data Using machine learning tools and statistical techniques to produce solutions to problems Using algorithms to solve problems and enthusing others to see the benefit of your work Interpreting and communicating results to stakeholders Working with the data community including ...

with GenAI 'slopaganda'. Superhuman AI makes it increasingly difficult for humans to detect hyperrealistic bots, so the team at Egregious have designed AI algorithms to protect the internet from these novel threats. We're looking for another Fullstack Engineer to join our extraordinary team. Someone who thinks the internet ...

prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions ...

warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions ...

prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions ...

prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions ...

advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver ...

warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

very well be the right place for you. The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk ...

Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground ...

modifying existing SDKs, Sockets etc Alongside a stated enthusiasm can also demonstrate some tangible interest in Networking Concepts and application of Data Structures and Algorithms Understand Core Networking concepts such as IP Addressing, CIDR, subnets etc An understanding of Routing Concepts and if possible, Protocols, BGP, OSPF ...

This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio ...

framework. Incorporating or adapting additional existing Dstl data/models (e.g. signatures) into studies. Library linking, development from theory, and re-coding of existing algorithms and data. Understanding and aligning assumptions and data across components. Understanding and implementing the interactions of multiple entities in a scenario. Within the role ...

features in a structured and maintainable manner under direction of product owner (Head of Digital Systems). Research, Architect, Design and Test Sensor Fusion algorithms using Mathworks products. Technically lead the software development for Sensor Fusion activities to deliver new features and capabilities to our Autonomy and UAV systems. Ensure ...

deliver the best user experience. We expect engineers to have the desire of curiosity, passion, a driven, enthusiastic mentality, to be proficient in algorithms, problem solving, and crafting scalable, resilient, and fault-tolerant architectures. Effective communication is an attribute we care deeply about, as an engineer you and your team ...

than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while ...

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 ...