51 to 75 of 193 Algorithms Jobs in the South East

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 ...

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 ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

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 ...

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 ...

across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems ...

strategy • Involved in Systems Design from planning to tactical execution • Have a strong interest in cutting edge technology, like AI, big data, cloud computing, algorithms, and rich web applications. • Document and maintain software functionality • Troubleshoot, debug and upgrade existing systems ...

3+ years of experience in Backend Engineering. • Strong expertise in Python and Django. • Experience in microservices architecture is essential. • Solid understanding of data structures, algorithms, and software design patterns. • Excellent communication skills with the ability to simplify complex concepts. • Proficient in relational databases and SQL optimization. Python Developer | Remote | Python ...

team. Responsibilities will include project developing simulation tools for the design of active and passive components. The role will involve the development of both algorithms and professional graphical interfaces to the algorithms. This is a very challenging role and you will need to be able to think creatively to solve ...

/ADC control, or pulse sequencing frameworks Exposure to embedded Linux, RTOS , or custom firmware development Knowledge of calibration, feedback, and control-loop algorithms Experience working in multidisciplinary teams at the intersection of software, hardware, and advanced science Why Join? Work on cutting-edge quantum computing systems at the forefront ...

users. • Strong Python; exposure to AWS, Docker, Terraform/CDK, etc. • Experience with basic web computing constructs: APIs, authentication, etc. • Solid grounding in ML algorithms, MLOps, and data science. • Ability to work with customers/stakeholders to help them achieve their goals. • Willingness and ability to travel to customer offices ...

review the development work of other lead software developers. You'll work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, ML models. Learn, use, and improve best practices and processes for high-quality software development. Our technology stack includes Python ...

world-class wireless and Software Defined Radio (SDR) products. This role involves end-to-end embedded software development, including the creation of new algorithms and waveforms, as well as the enhancement of existing SDR designs. The engineer will work across a diverse portfolio of technically advanced projects, with responsibilities spanning ...

experience 3+ years of experience in the field of Software Engineering Proficient with Object Oriented Programming concepts with a strong understanding of Data Structures, Algorithms, and Computer Science fundamentals Experience with Java/Scala (JVM) and Spring along with a good grasp of OO design with strong design patterns knowledge. ...

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 ...