1 to 25 of 537 Permanent Algorithms Jobs in the UK

issues and propose effective solutions. Ability and collaborate effectively with cross-functional teams. Understanding of microservices architectures and distributed systems Understanding of data structures, algorithms, and software design principles Experience building and maintaining large-scale software systems Knowledge of modern software engineering practices (CI/CD, containerization) Comfortable working independently more »

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 is a more »

in development with Java, springboot, REST APIs Experience with microservice architectures (SOA) Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization Proficiency with algorithms, data structures and software design Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Proven to work independently in a fast paced more »

along with front end experience (React preferred). Expertise in JavaScript/TypeScript, C# and .NET. A solid computer science foundation including data structures, algorithms, and design patterns, with a proven track record of writing high concurrency, multi-threaded, secure, scalable code. Proven experience delivering and extending highly extensible, modular more »

goals. - Collaboration and Documentation: - Collaborate with data scientists, software engineers, and product managers to understand project requirements and deliver high-quality solutions. - Document code, algorithms, and processes to facilitate knowledge sharing and maintain comprehensive project documentation. Requirements: United States Citizenship Bachelor's or Master's degree in Computer Science, Software more »

databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll be supported by a highly talented more »

a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will be expected to pick more »

a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will be expected to pick more »

functional teams to develop and implement advanced analytics solutions. Key Responsibilities: 1. Lead Data Science Projects: Design, develop, and deploy machine learning models and algorithms to solve complex business problems. Manage end-to-end data science projects, from data collection and pre-processing to model deployment and performance monitoring. Ensure more »

concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Mastery of modern web technologies - i.e. Javascript is essential: Node, React, Angular, etc. Proficient in at least one all purpose imperative more »

a set of the following skills - Proven expertise in machine learning, deep learning, and natural language processing (NLP) techniques, with a deep understanding of algorithms, architectures, and model optimization. - Hands-on experience in building and deploying end-to-end ML solutions, from data ingestion and preprocessing to model training, evaluation more »

cloud computing, AWS preferred but Azure also fine You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and have great communication skills You're degree educated, having achieved a 2.1 or above in Computer Science or similar technical discipline more »

industry through our cloud platform. Utilising a microservice architecture we continue to integrate and deploy mathematical optimisation modules, machine learning solutions and geometric manipulation algorithms through our flexible software pipeline. Working closely with our clients, some of the biggest players in their industries, we revolutionise the user experience and automation more »

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 is a more »

that will advance global infrastructure. In our collaborative environment, you'll have the freedom to explore ideas and contribute to creating cutting-edge simulations, algorithms, and machine learning-based solutions. You will have: A recent degree in Mathematical Sciences, Computer Science, Physics or a related field. Some practical experience from more »

developers and project managers Experience with or willingness to learn agile methodologies (Kanban, SCRUM, XP), modern software development environments and DevOps practices Experience with algorithms, data structures, complexity analysis, and software design Travel up to 10% What Will Help You On The Job Familiarity with running software services at scale more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity with various relational database platforms is a plus (SQL more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

and a portal interface to explore, combine, visualise and access a wealth of perturbation data. This will enable the extension and application of existing algorithms and the design of new computational methods for functional genetics and target identification and prioritisation, offering enhanced statistical power and the capability to work with more »

Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract more »

senior member of the team. Responsibilities: Build machine learning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Working with a team of highly skilled Data Engineers and Data Scientists. You have ownership and lead exciting projects, driving more »

technologies such as LLMs, ChatGPT, text summarisation ect. Responsibilities: Design and design NLP tools Collaborate with cross-functional teams Implement database structures and employ algorithms for effective extraction of data Create a user-friendly UI Thoroughly test and debug the software to ensure it performs optimally and is easy to more »

integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. Stay up-to-date more »