126 to 150 of 504 Algorithms Jobs in England

solutions to address complex business challenges. Collaborate with cross-functional teams to integrate AI technologies into existing systems. Research and apply advanced machine learning algorithms and techniques to improve business processes. Analyse large datasets to derive actionable insights and drive data-driven decision-making. Develop and maintain scalable AI models ...

TypeScript. Backend Mastery: Solid experience with API development, Object-Oriented Programming (OOP), and service architectures. CS Fundamentals: You know your Data Structures, Algorithms, and System Design inside out. Experience: 3-5+ years of proven track record in a fast-paced corporate engineering environment (STEM degree preferred). The Logistics ...

skills Flexible approach to hybrid working and occasional travel Nice to have: Degree in Computer Science or related field Strong CS fundamentals (data structures, algorithms, problem solving) Healthcare/HealthTech experience Immediate availability If you're interested in this role, click 'apply now' to forward an up-to-date copy ...

quantitative research methodologies. Requirements • Technical Skills: Strong programming skills in C#/.NET with a solid grasp of computer science fundamentals (data structures, algorithms, and design patterns). • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related quantitative field. • Mindset: An analytical mindset with ...

diagnostics technology. Key Responsibilities: Development of software for current and future medical diagnostic instruments, including algorithm development, processing code, and middleware Writing code and algorithms in accordance with good software practices, with a preference for prior experience with standards and medical device regulations (e.g. ...

Experience with optimization of game performance and memory usage. Experience with version control software such as PlasticSCM/GitHub Good knowledge of mathematics and algorithms relevant to game development Excellent problem solving and debugging skills Good communication skills and ability to collaborate with a diverse team Desired but non-essential ...

data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good ...

quantitative or technical field (e.g. Computer Science, AI, Mathematics, Statistics, Physics, Engineering) Strong Python skills with experience building machine learning models and scalable algorithms Proven experience working with large, complex datasets to optimise performance and decision-making Commercial experience applying data science in real-world environments , ideally within fast-paced ...

Python preferred Excellent background in computational mathematics, numerical analysis, or a related quantitative discipline Demonstrated ability to design, implement, and optimise complex mathematical algorithms for performance‐critical applications Solid understanding of Adjoint Algorithmic Differentiation (AAD) concepts; hands‐on experience with AAD tools is highly desirable Deep practical knowledge ...

have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence Apply now to find out more about this ...

novel medical diagnostic product Responsibilities: Development of software for our current and future instruments, including algorithm development, processing code and middleware. Writing code and algorithms in accordance with good Software practise - Experience of relevant standards and medical device regulations would be beneficial (e.g. ...

critically assess state‐of‐the‐art (SOTA) research relevant to internal research and innovation objectives Design, develop, and evaluate novel AI methodologies, models, and algorithms beyond existing approaches Adapt academic research into practical solutions for applied research projects and technological demonstrations Conduct rigorous experimental research, including benchmark design, ablation studies ...

experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production‐grade components for Le Chat and our enterprise API. About you Master ...

with strong problem-solving and analytical thinking Experience with high-volume transactional or payment systems in regulated, security-conscious environments Solid foundation in mathematics, algorithms, and complex problem-solving Working Benefits Salary up to £85,000 Annual pay reviews/increases 25 days Holidays plus Bank Holidays Flexible working hours ...

Linux or other Unix based operating system Competency in multiple programming languages Understanding of Object-Oriented Design, and implementation of engineering algorithms Knowledge of UML Understanding of Requirements &Configurationmanagement Experience of working in an Agile environment Who is MASS MASS is an independent, global technology company, trusted by highly secure ...

teams. Excellent stakeholder management skills with the ability to understand real business needs and influence senior decision makers. Solid grounding in computer science including algorithms, data structures, modelling and software architecture. Strong understanding of classical Machine Learning and modern Deep Learning methods. Good proficiency in SQL and Python and familiarity ...

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 ...