126 to 150 of 342 Algorithms Jobs in England

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 ...

Experience with Gradle/Maven, CI/CD (e.g. Jenkins, GitLab), static analysis tools (e.g. SonarQube), and test automation.* Optimisation Mindset: Good knowledge of algorithms, being able to quickly understand runtime complexity and offer alternative implementation. Good knowledge of data structures, understanding query patterns and being able to offer ...

market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: Develop and enhance high-performance trading systems. Optimise execution algorithms for systematic trading. Contribute to research and simulation frameworks. Key Requirements Bachelor's degree in Computer Science or closely related field Interesting internship(s) within trading ...

relevant environment (systematic trading, HFT, or performance-critical systems) Strong proficiency in low-latency C++ development on Linux Solid understanding of data structures, algorithms, and system design Ability to work in a fast-paced, highly collaborative environment This opportunity offers a highly competitive compensation package and hybrid working model. ...

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 ...

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 ...

solving complex techno-economic problems. Key Responsibilities Develop and maintain high-quality Python code (OOP, data structures, type hints, etc.). Build scalable algorithms and RESTful APIs (FastAPI, Flask, Django). Perform data analysis using Pandas/NumPy and manage SQL/NoSQL databases. Develop optimization models (LP/MILP ...

time permanent basis. This is a hybrid role with occasional travel. Key duties will include but are not limited to: Assist with developing control algorithms to improve the performance of robotic systems. Work closely with the wider team to ensure quality across the full software lifecycle. Produce clear technical documentation ...

team develops software operating within the latency-critical layer of the firm’s trading infrastructure. This includes market connectivity, large-scale data handling, trading algorithms, execution systems, and advanced hardware integrations. Key Responsibilities Design, develop, test, deploy, and maintain high-performance C++ applications within a low-latency trading environment Build ...

technical solutions What we're looking for Experience as a Machine Learning Engineer or Data Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments ...

this could be the role for you. Key Responsibilities: Plan, deliver, and assess engaging Computer Science up to KS5. Teach key concepts including programming, algorithms, data structures, cybersecurity, and computational thinking. Foster a creative and inclusive classroom environment where students feel confident exploring technology. Prepare students for examinations and real ...

open-source and proprietary large language models Develop Explainable AI modules that translate model outputs into clear, actionable insights for end users Implement optimisation algorithms using trained machine learning surrogate models Build uncertainty quantification modules that communicate prediction confidence transparently to stakeholders Translate cutting-edge AI research from published scientific ...

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 ...

evolution of the wider platform What They’re Looking For Strong, production‐grade Python experience (beyond scripting) Solid understanding of data structures, algorithms, and system design Experience building and supporting backend systems in live environments Familiarity with APIs, databases, and distributed systems Finance or FX experience is helpful ...