1 to 25 of 444 Permanent Algorithms Jobs in the UK excluding London

Skills & ExperienceStrong hands-on Java development experience within complex desktop applicationsExcellent understanding of object-oriented programming principles and software designStrong computer science fundamentals including algorithms, data structures and software architectureSolid understanding of multithreading, concurrency and synchronisationExperience applying common design patterns and architectural principles in commercial softwareGood understanding of memory management ...

Expect You Have 10+ years of experience building large-scale and low-latency distributed systems. Proficiency in Java or C++. Strong understanding of algorithms, data structures, performance optimization, object-oriented programming, multi-threading, and real-time programming. Experience with distributed caching, SQL/NoSQL, and other databases is a plus. ...

manage suppliers/stakeholders contributing project components of a larger Data Science oriented programme of work. Desirable criteria Knowledge in key Machine Learning based algorithms: Supervised (Linear regression, SVM, Random Forests, Gradient Boosting and Neural Networks) and Unsupervised (KMeans, Gaussian Mixtures) and the entire end to end ML pipeline. Certification ...

Strong object-oriented programming in C++, including modern C++ practices and proficiency with the C++ Standard Library (STL).Solid software engineering fundamentals: data structures, algorithms, object-oriented design, and design patterns. Strong programming, debugging, analytical, and problem-solving skills. Working knowledge of CAD/CAM concepts, computational geometry, or geometric ...

experience building enterprise applications and modern web technologies in production environments Software Engineering Fundamentals – Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code Backend Development – Proficiency in Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development ...

Node.js, Express) on cloud-based technology, such as AWS and GCP. Experience of building large scale and low latency distributed systems. Solid understanding of algorithms, data structures, performance optimisation techniques, object-oriented programming. Experience using modern AI-assisted and agentic development workflows in day-to-day engineering usingAI/ ...

design patterns and object‐orientated programming. Proficiency in core Java demonstrable success in developing multi‐threaded applications and expert level knowledge in data structures, algorithms, collections, and error handling. Spring Framework (and Spring Boot): This is almost non‐negotiable for enterprise Java development. Expertise in Spring Boot for rapid application ...

Lambda, EC2, RDS, Glue, or similar) Strong applied mathematics – statistics, probability, linear algebra, or signal processing Demonstrated ability to read, understand, and extend complex algorithms and dense business logic written by others Understanding of software engineering principles (testing, code quality, design patterns) Familiarity with version control (Git), CI/ ...

design patterns and object-orientated programming. Proficiency in core Java demonstrable success in developing multi-threaded applications and expert level knowledge in data structures, algorithms, collections, and error handling. Spring Framework (and Spring Boot): This is almost non-negotiable for enterprise Java development. Expertise in Spring Boot for rapid application ...

Prior experience developing production quality Python is essentialDeep understanding of Agentic AI systems and multi-agent architecturesProficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code ...

machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/system performance, quality and accuracy. Near Real-Time and Batch Inferencing: Use infrastructure like ...

think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Performs platform design, set-up and configuration, providing engineering support to data engineering teams, Data Science/ML, and Application ...

related technical field that involves programming. Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry). Experience in some ...

related technical field that involves programming. Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry). Experience in some ...

machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/system performance, quality and accuracy. Near Real-Time and Batch Inferencing: Use infrastructure like ...

think beyond routine or conventional approaches to build solutions or break down technical problems Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g. ...

engineers where appropriate Essential criteria Professional software engineering experience Commercial experience developing backend applications or services using Golang Strong understanding of software engineering principles, algorithms and data structures Experience working across the full software development lifecycle Experience with Git and collaborative development practices Experience with Docker and containerised application delivery ...

ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity ...

think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code ...

with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across ...

culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with ...

knowledge of Unix/Solaris environments, software build processes, scripting, debugging, version control, and deployment practices for engineering software. Advanced understanding of data structures, algorithms, computational methods, numerical accuracy, performance optimisation, and scalable software design. Extensive analytical thinking, problem-solving, communication, documentation, and collaboration skills to work effectively with global ...

qualifications: Bachelor's degree in Computer Science, Engineering, Bioinformatics or related field. Minimum of 3 years experience/demonstrated expertise developing image processing algorithms/applications (low level, analysis, image understanding) as a Software Engineer or in a similar role. Proficient in modern C++ (C++14/17/ ...

qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Strong software engineering fundamentals - system design, data structures, algorithms, and architectural thinking - with the ability to ramp up quickly across varied tech stacks and project types Hands-on practical experience in full-stack ...

directly contributing to the team's delivery of secure and stable data architectures Applies advanced data modeling techniques, including linear algebra, statistics, and geometrical algorithms to solve real world business challenges and drive actionable insights Collaborates closely with cross-functional teams to integrate data solutions into business-critical applications, actively ...